0001581068-16-000143.txt : 20160725 0001581068-16-000143.hdr.sgml : 20160725 20160725162359 ACCESSION NUMBER: 0001581068-16-000143 CONFORMED SUBMISSION TYPE: 8-K PUBLIC DOCUMENT COUNT: 5 CONFORMED PERIOD OF REPORT: 20160725 ITEM INFORMATION: Results of Operations and Financial Condition ITEM INFORMATION: Financial Statements and Exhibits FILED AS OF DATE: 20160725 DATE AS OF CHANGE: 20160725 FILER: COMPANY DATA: COMPANY CONFORMED NAME: Brixmor Property Group Inc. CENTRAL INDEX KEY: 0001581068 STANDARD INDUSTRIAL CLASSIFICATION: REAL ESTATE INVESTMENT TRUSTS [6798] IRS NUMBER: 452433192 STATE OF INCORPORATION: DE FISCAL YEAR END: 1231 FILING VALUES: FORM TYPE: 8-K SEC ACT: 1934 Act SEC FILE NUMBER: 001-36160 FILM NUMBER: 161782317 BUSINESS ADDRESS: STREET 1: 450 LEXINGTON AVENUE CITY: NEW YORK STATE: NY ZIP: 10017 BUSINESS PHONE: (212) 869-3000 MAIL ADDRESS: STREET 1: 450 LEXINGTON AVENUE CITY: NEW YORK STATE: NY ZIP: 10017 FILER: COMPANY DATA: COMPANY CONFORMED NAME: Brixmor Operating Partnership LP CENTRAL INDEX KEY: 0001630031 STANDARD INDUSTRIAL CLASSIFICATION: REAL ESTATE INVESTMENT TRUSTS [6798] IRS NUMBER: 800831163 STATE OF INCORPORATION: DE FISCAL YEAR END: 1231 FILING VALUES: FORM TYPE: 8-K SEC ACT: 1934 Act SEC FILE NUMBER: 333-201464-01 FILM NUMBER: 161782318 BUSINESS ADDRESS: STREET 1: 420 LEXINGTON AVENUE CITY: NEW YORK STATE: NY ZIP: 10170 BUSINESS PHONE: 212-869-3000 MAIL ADDRESS: STREET 1: 420 LEXINGTON AVENUE CITY: NEW YORK STATE: NY ZIP: 10170 8-K 1 brx8k07252016.htm 8-K Document




 UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
WASHINGTON, D.C. 20549
FORM 8-K
CURRENT REPORT
Pursuant to Section 13 or 15(d)
of the Securities Exchange Act of 1934
Date of Report (Date of Earliest Event Reported): July 25, 2016
Brixmor Property Group Inc.
Brixmor Operating Partnership LP
(Exact Name of Registrant as Specified in its Charter)
 
 
 
 
 
Maryland (Brixmor Property Group Inc.)
 
001-36160
 
45-2433192
Delaware (Brixmor Operating Partnership LP)
 
333-201464-01
 
80-0831163
(State or Other Jurisdiction
of Incorporation)
 
(Commission
File Number)
 
(IRS Employer
Identification No.)
450 Lexington Avenue
New York, New York 10017
(Address of Principal Executive Offices) (Zip Code)
(212) 869-3000
(Registrant’s Telephone Number, Including Area Code)
Not Applicable
(Former Name or Former Address, if Changed Since Last Report)
Check the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions:



Written communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425)


Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12)


Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b))


Pre-commencement communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e-4(c))





Item 2.02
Results of Operations and Financial Condition.

On July 25, 2016, Brixmor Property Group Inc. (the "Company") issued a press release announcing its financial results and Supplemental Disclosure pertaining to its operations for the second quarter ended June 30, 2016. The press release is furnished as Exhibit 99.1 to this Report and the Supplemental Disclosure is furnished as Exhibit 99.2 to this Report.

As provided in General Instruction B.2 of Form 8-K, the information in this Item 2.02 and Exhibits 99.1 and 99.2 to this Form 8-K shall not be deemed to be “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended, nor shall they be deemed to be incorporated by reference in any filing under the Securities Act of 1933, as amended, except as shall be expressly set forth by specific reference in such a filing.

Item 9.01     Financial Statements and Exhibits
(d)     The following exhibits are attached to this Current Report on Form 8-K
99.1
  
Press release issued July 25, 2016.
 
 
 
99.2
  
Brixmor Property Group Inc. Supplemental Financial Information for the second quarter ended June 30, 2016.





SIGNATURE
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrants have duly caused this report to be signed on their behalf by the undersigned hereunto duly authorized.
 
 
 
Date: July 25, 2016
BRIXMOR PROPERTY GROUP INC.
 
 
 
 
By:
/s/Steven F. Siegel
 
Name:
Steven F. Siegel
 
Title:
Executive Vice President,
 
 
General Counsel and Secretary
 
 
 
 
BRIXMOR OPERATING PARTNERSHIP LP
 
 
 
 
By:
Brixmor OP GP LLC, its general partner
 
 
 
 
By:
BPG Subsidiary Inc., its sole member
 
 
 
 
By:
/s/Steven F. Siegel
 
Name:
Steven F. Siegel
 
Title:
Executive Vice President,
 
 
General Counsel and Secretary






EXHIBIT INDEX

Exhibit No.
 
Description
99.1
  
Press release issued July 25, 2016.
 
 
 
99.2
  
Brixmor Property Group Inc. Supplemental Financial Information for the second quarter ended June 30, 2016.


EX-99.1 2 brx8k07252016ex991.htm EX 99.1 Exhibit
Exhibit 99.1
450 Lexington Avenue : New York, NY 10017 : 800.468.7526





FOR IMMEDIATE RELEASE            
                
CONTACT:
Stacy Slater                            
Senior Vice President, Investor Relations            
800.468.7526                             
stacy.slater@brixmor.com


BRIXMOR PROPERTY GROUP REPORTS SECOND QUARTER 2016 RESULTS
- Amends $2.75 Billion Credit Facility -

NEW YORK, July 25, 2016 - Brixmor Property Group Inc. (NYSE: BRX) (“Brixmor” or the “Company”) announced today its operating results for the three months ended June 30, 2016. Net income attributable to common stockholders was $0.21 per diluted share compared with $0.18 per diluted share in the comparable 2015 period. Key highlights for the quarter include:

Executed 2.1 million square feet of new and renewal leases and 3.6 million square feet when including options exercised
Achieved comparable new and renewal rent spreads of 15.6%
Increased leased occupancy by 30 basis points year-over-year to 92.8%, despite the impact of retailer bankruptcies and the proactive recapture of 1.3 million square feet of anchor space
Increased small shop leased occupancy by 60 basis points year-over-year to 84.2%
Completed five anchor space repositioning projects and added six new anchor space repositioning projects and five new outparcel development projects to pipeline 
Generated same property NOI growth of 3.5%
Grew FFO per diluted share 9.6% year-over-year, excluding non-cash GAAP adjustments and items that impact comparability
Issued $600 million of 4.125% Senior Notes due 2026 and amended $2.75 billion credit facility
Revised NAREIT FFO per share - diluted guidance for 2016 to $2.03 - $2.06

"Our leasing and operations teams once again delivered an outstanding quarter, with noteworthy leasing volume of over two million square feet, robust rent spreads and growth in occupancy, despite proactive anchor space recapture and tenant bankruptcies.  Additionally, our construction and redevelopment teams successfully delivered five anchor space repositioning projects and we signed important new deals with Nordstrom Rack, Restoration Hardware Outlet, Target and Trader Joe’s," commented James Taylor, President and Chief Executive Officer.  "We also substantially improved our balance sheet flexibility through the issuance of $600 million of ten-year Senior Notes and the amendment of our $2.75 billion credit facility at more attractive pricing, while extending the weighted average maturity.  I am very pleased with how this quarter positions us for continued growth."





i

450 Lexington Avenue : New York, NY 10017 : 800.468.7526



FINANCIAL HIGHLIGHTS
Net Income
For the three months ended June 30, 2016 and 2015, net income attributable to common stockholders was $64.5 million, or $0.21 per diluted share, and $54.1 million, or $0.18 per diluted share, respectively.
For the six months ended June 30, 2016 and 2015, net income attributable to common stockholders was $124.9 million, or $0.42 per diluted share, and $84.5 million, or $0.28 per diluted share, respectively.

NAREIT FFO
For the three months ended June 30, 2016 and 2015, NAREIT FFO was $152.7 million, or $0.50 per diluted share and $149.1 million, or $0.49 per diluted share, respectively. Results for the three months ended June 30, 2016 include executive equity based compensation, executive severance expenses and other items that impact FFO comparability of ($6.0) million, or ($0.02) per diluted share. Results for the three months ended June 30, 2015 include property acquisition expenses and other items that impact FFO comparability of ($1.3) million, or ($0.00) per diluted share.
For the six months ended June 30, 2016 and 2015, NAREIT FFO was $314.0 million, or $1.03 per diluted share and $288.2 million, or $0.95 per diluted share, respectively. Results for the six months ended June 30, 2016 include expenses related to the previously disclosed review conducted by the Company’s Audit Committee, executive severance expenses and other items that impact FFO comparability of ($7.0) million, or ($0.02) per diluted share. Results for the six months ended June 30, 2015 include a non-recurring charge related to pre-IPO compensation programs, property acquisition expenses and other items that impact FFO comparability of ($11.2) million, or ($0.04) per diluted share.

Same Property NOI
Same property NOI for the three and six months ended June 30, 2016 increased 3.5% and 3.2%, respectively, from the comparable 2015 period.

Dividend
The Company’s Board of Directors declared a quarterly cash dividend of $0.245 per common share (equivalent to $0.98 per annum) for the third quarter of 2016.
The dividend is payable on October 17, 2016 to stockholders of record on October 5, 2016, representing an ex-dividend date of October 3, 2016.

PORTFOLIO AND INVESTMENT ACTIVITY
Anchor Space Repositioning / Redevelopment / Outparcel Development
During the second quarter of 2016, the Company completed five anchor space repositioning projects and added six new anchor space repositioning projects and five new outparcel development projects to its pipeline. 
At June 30, 2016, the anchor space repositioning pipeline was comprised of 28 projects, the aggregate cost of which is expected to be approximately $115.8 million; the redevelopment pipeline was comprised of one project, the cost of which is expected to be approximately $7.4 million; the outparcel development pipeline was comprised of 15 projects, the aggregate cost of which is expected to be approximately $21.7 million; and the new development pipeline was comprised of one project, the cost of which is expected to be approximately $19.2 million.



ii

450 Lexington Avenue : New York, NY 10017 : 800.468.7526



Dispositions
During the second quarter of 2016, the Company generated approximately $21.3 million of gross proceeds through the sale of two properties and one outparcel building.

CAPITAL STRUCTURE
Credit Facility
The Company also announced today that it’s Operating Partnership, Brixmor Operating Partnership LP (the “Operating Partnership”), executed an amendment and restatement to its $2.75 billion credit facility (the “Facility”), extending its weighted average maturity and lowering the aggregate pricing. The Facility is comprised of the Company’s $1.25 billion unsecured revolving credit facility (the “Revolver”) and $1.5 billion of unsecured term loan facilities (the “Term Loans”).
The maturity date on the Revolver was extended from July 31, 2017 to July 31, 2020, with two six-month extension options, and the effective interest rate was lowered to LIBOR plus 145 basis points (based on the Operating Partnership’s current credit ratings).
The amended Term Loans reallocate the existing term loan with a July 31, 2018 maturity to two tranches. The tranche A term loan of $1.0 billion matures July 31, 2018 and the tranche B term loan of $500 million matures July 31, 2021, both at an effective interest rate of Libor plus 135 basis points (based on the Operating Partnership’s current credit ratings). There are no additional available extension options for the Term Loans.
The Facility includes an accordion feature that allows the Operating Partnership to increase the total potential capacity of the Facility by up to $1.0 billion, subject to certain conditions, including obtaining additional lender commitments to provide such increased amounts.
J.P. Morgan Securities LLC, Wells Fargo Securities, LLC and Merrill Lynch, Pierce, Fenner & Smith Incorporated served collectively as lead arrangers, with JPMorgan Chase Bank, N.A. serving as administrative agent and Bank of America, N.A. and Wells Fargo Bank, National Association serving as co-syndication agents.

Unsecured Notes
In June 2016, the Operating Partnership issued $600 million aggregate principal amount of 4.125% Senior Notes due 2026 at 99.328% of par value. Proceeds from the offering were utilized to repay outstanding indebtedness, including borrowings under the Revolver, and general corporate purposes.

Secured Mortgages
During the second quarter of 2016, the Company repaid $168.4 million of mortgage indebtedness, increasing its unencumbered asset base to 64% of properties at June 30, 2016.











iii

450 Lexington Avenue : New York, NY 10017 : 800.468.7526



GUIDANCE
The Company has revised its NAREIT FFO per share - diluted expectations for 2016 and the key underlying assumptions as follows:

2016E (dollars in millions, except per share amounts)
 
Updated Guidance
 
Prior Guidance
NAREIT FFO per share - diluted
 
$2.03 - $2.06
 
$2.01 - $2.09
Key Underlying Assumptions
 
 
 
 
Same property NOI growth
 
2.5 - 3.5%
 
2.5 - 3.5%
Percent leased (at year-end)
 
92.8 - 93.0%
 
92.8 - 93.0%
Total rent spread (cash)
 
10 - 15%
 
10 - 15%
Total leasing related capital expenditures
 
$155 - $175
 
$155 - $175
Anchor space repositioning and redevelopment related spending
 
$95 - $110
 
$95 - $110
General and administrative expenses (1)
 
 $92 - $94
 
 $84 - $87
Audit committee review expenses
 
 $4
 
N/A
Executive severance expenses
 
 $2
 
N/A
Straight-line rental income, amortization of above- and below-market rent and tenant inducements and straight-line ground rent expense (2)
 
$47 - $50
 
$50 - $53
Cash interest expense
 
$233 - $235
 
$230 - $239
GAAP interest expense (3)
 
$227 - $229
 
N/A
Dispositions
 
$75 - $175
 
$75 - $175

(1) Does not include any expectations of additional one-time items, including, but not limited to, litigation and other non-routine legal expenses.
(2) Prior guidance did not include tenant inducements and straight-line ground rent expense.
(3) Prior guidance not provided.

The following table provides a reconciliation of the range of estimated 2016 NAREIT FFO to net income attributable to common stockholders.

(Unaudited, dollars in millions, except per share amounts)
 
 
 
2016E
 
2016E Per Common Share - Diluted
Net income attributable to common stockholders
$249 - $258
 
$0.82 - $0.85
Depreciation and amortization
$378
 
$1.24
Gain on disposition of operating properties
($8)
 
($0.03)
NAREIT FFO
$619 - $628
 
$2.03 - $2.06





iv

450 Lexington Avenue : New York, NY 10017 : 800.468.7526



CONNECT WITH BRIXMOR
For additional information, please visit www.brixmor.com;
Follow Brixmor on Twitter at www.twitter.com/Brixmor;
Find Brixmor on LinkedIn at www.linkedin.com/company/brixmor.

CONFERENCE CALL AND SUPPLEMENTAL INFORMATION
The Company will host a teleconference on Tuesday, July 26, 2016 at 10:00 AM ET.   To participate, please dial 888.317.6003 (domestic) or 412.317.6061 (international) at least ten minutes prior to the scheduled start of the call (Passcode: 7049086).  The teleconference can also be accessed via a live webcast at www.brixmor.com in the Investors section. A replay of the teleconference will be available through midnight ET on August 9, 2016 by dialing 877.344.7529 (domestic) or 412.317.0088 (international) (Passcode: 10087397) or via the web through July 27, 2017 at www.brixmor.com in the Investors section.

The Company’s Supplemental Disclosure will be posted at www.brixmor.com in the Investors section.  These materials are also available to all interested parties upon request to the Company at investorrelations@brixmor.com or 800.468.7526.

NON-GAAP DISCLOSURES
NAREIT FFO
NAREIT FFO is a supplemental non-GAAP performance measure utilized to evaluate the operating performance of real estate companies. The National Association of Real Estate Investment Trusts (“NAREIT”) defines FFO as net income (loss) in accordance with GAAP excluding (i) gain (loss) on disposition of operating properties, and (ii) extraordinary items, plus (iii) depreciation and amortization of operating properties, (iv) impairment of operating properties and real estate equity investments, and (v) after adjustments for joint ventures calculated to reflect funds from operations on the same basis. 
 
The Company presents NAREIT FFO as it considers it an important supplemental measure of its operating performance and the Company believes it is frequently used by securities analysts, investors and other interested parties in the evaluation of REITs. The Company believes NAREIT FFO assists investors  in analyzing Brixmor’s comparative operating and financial performance because, by excluding gains and losses related to dispositions of previously depreciated operating properties, real estate-related depreciation and amortization of continuing operations and unconsolidated joint ventures (which can vary among owners of properties in similar condition based on historical cost accounting and useful life estimates) and impairment of operating properties, NAREIT FFO can help investors compare the operating performance of a company’s real estate between periods or as compared to different companies. 
 
NAREIT FFO should not be considered as an alternative to net income (determined in accordance with GAAP) as an indicator of financial performance and is not an alternative to cash flow from operating activities (determined in accordance with GAAP) as a measure of liquidity.
 
Non-GAAP performance measures have limitations as they do not include all items of income and expense that affect operations and, accordingly, should always be considered as supplemental to financial results presented in accordance with GAAP. Computation of NAREIT FFO may differ in certain respects from the methodology utilized by other REITs and, therefore, may not be comparable to similarly titled measures presented by such other REITs. Investors are cautioned that items excluded from NAREIT FFO are significant

v

450 Lexington Avenue : New York, NY 10017 : 800.468.7526



components in understanding and addressing financial performance.  A reconciliation of NAREIT FFO to Net income is presented in the attached table.

Same Property NOI
Same property NOI is calculated (using properties owned for the entirety of both periods excluding properties under development or pending stabilization), as rental income (base rent, percentage rents, expense reimbursements and other property income) less rental operating expenses (operating costs, real estate taxes and provisions for doubtful accounts. Same Property NOI includes unconsolidated joint venture, Montecito Marketplace, at pro rata share.  Same property NOI excludes corporate level income (including management, transaction and other fees), lease termination fees, straight-line rental income, amortization of above- and below-market rent and tenant inducements, straight-line ground rent expense and income / expense associated with the captive insurance entity.

Same property NOI is a supplemental, non-GAAP performance measure utilized to evaluate the operating performance of real estate companies and the Company believes it is frequently used by securities analysts, investors and other interested parties in understanding business and operating results regarding the underlying economics of Brixmor's business operations.

It includes only the net operating income of properties owned and stabilized for the full period presented, which eliminates disparities in net income due to the acquisition, disposition or stabilization of properties during the period presented, and therefore, provides a more consistent metric for comparing the performance of properties. Management uses same property NOI to review operating results for comparative purposes with respect to previous periods or forecasts, and also to evaluate future prospects. Same property NOI is not intended to be a performance measure that should be regarded as an alternative to, or more meaningful than, net income (determined in accordance with GAAP) or other GAAP financial measures. Non-GAAP financial measures have limitations as they do not include all items of income and expense that affect operations, and accordingly, should always be considered as supplemental to financial results presented in accordance with GAAP.  Computation of same property NOI may differ in certain respects from the methodology utilized by other REITs and, therefore, may not be comparable to such other REITs. 

ABOUT BRIXMOR PROPERTY GROUP
Brixmor Property Group, a real estate investment trust (REIT), is a leading owner and operator of high-quality, open-air shopping centers. The Company’s more than 500 retail centers comprise 86 million square feet in market-dominant locations across the nation and are supported by a diverse mix of highly productive non-discretionary and value-oriented retailers, as well as service and entertainment users. Brixmor is committed to maximizing the value of its portfolio by prioritizing investments, cultivating relationships and capitalizing on embedded growth opportunities through driving rents, increasing occupancy and pursuing repositioning and redevelopment projects. Headquartered in New York City, Brixmor is a partner to more than 5,500 best-in-class national, regional and local tenants and is the largest landlord to The TJX Companies and The Kroger Company.






vi

450 Lexington Avenue : New York, NY 10017 : 800.468.7526



SAFE HARBOR LANGUAGE
This press release may contain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934. These statements include, but are not limited to, statements related to the Company’s expectations regarding the performance of its business, its financial results, its liquidity and capital resources and other non-historical statements. You can identify these forward-looking statements by the use of words such as “outlook,” “believes,” “expects,” “potential,” “continues,” “may,” “will,” “should,” “seeks,” “approximately,” “projects,” “predicts,” “intends,” “plans,” “estimates,” “anticipates” or the negative version of these words or other comparable words. Such forward-looking statements are subject to various risks and uncertainties, including those described under the section entitled “Risk Factors” in the Company’s Annual Report on Form 10-K for the year ended December 31, 2015, as such factors may be updated from time to time in our periodic filings with the SEC, which are accessible on the SEC’s website at www.sec.gov. Accordingly, there are or will be important factors that could cause actual outcomes or results to differ materially from those indicated in these statements. These factors should not be construed as exhaustive and should be read in conjunction with the other cautionary statements that are included in this release and in the Company’s filings with the SEC. The Company undertakes no obligation to publicly update or review any forward-looking statement, whether as a result of new information, future developments or otherwise, except as required by law.

###





vii


CONSOLIDATED BALANCE SHEETS
 
 
 
 
Unaudited, dollars in thousands, except share information
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6/30/16
 
12/31/15
 
 
Assets
 
 
 
 
 
 
Real estate
 
 
 
 
 
 
 
Land
$
2,010,074

 
$
2,011,947

 
 
 
 
Buildings and tenant improvements
8,026,276

 
7,997,116

 
 
 
 
Construction in process
68,906

 
46,209

 
 
 
 
Lease intangibles
858,453

 
877,578

 
 
 
 
 
 
10,963,709

 
10,932,850

 
 
 
 
Accumulated depreciation and amortization
(2,034,045
)
 
(1,880,685
)
 
 
 
Real estate, net
8,929,664

 
9,052,165

 
 
 
Investments in and advances to unconsolidated joint ventures
5,028

 
5,019

 
 
 
Cash and cash equivalents
114,272

 
69,528

 
 
 
Restricted cash
47,861

 
41,462

 
 
 
Marketable securities
28,752

 
23,001

 
 
 
Receivables, net of allowance for doubtful accounts of $16,166 and $16,587
169,824

 
180,486

 
 
 
Deferred charges and prepaid expenses, net
115,266

 
109,149

 
 
 
Other assets
17,122

 
17,197

 
 
Total assets
$
9,427,789

 
$
9,498,007

 
 
 
 
 
 
 
 
 
 
 
Liabilities
 
 
 
 
 
 
Debt obligations, net
$
5,966,533

 
$
5,974,266

 
 
 
Accounts payable, accrued expenses and other liabilities
560,215

 
603,439

 
 
Total liabilities
6,526,748

 
6,577,705

 
 
 
 
 
 
 
 
 
 
 
Equity
 
 
 
 
 
 
Common stock, $0.01 par value; authorized 3,000,000,000 shares;
 
 
 
 
 
 
 
301,098,930 and 299,138,450 shares outstanding
3,011

 
2,991

 
 
 
Additional paid in capital
3,287,330

 
3,270,246

 
 
 
Accumulated other comprehensive loss
(1,281
)
 
(2,509
)
 
 
 
Distributions in excess of net income
(423,018
)
 
(400,945
)
 
 
Total stockholders' equity
2,866,042

 
2,869,783

 
 
 
Non-controlling interests
34,999

 
50,519

 
 
Total equity
2,901,041

 
2,920,302

 
 
Total liabilities and equity
$
9,427,789

 
$
9,498,007

 






 
viii



CONSOLIDATED STATEMENTS OF OPERATIONS
Unaudited, dollars in thousands, except per share amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
 
 
6/30/16
 
6/30/15
 
6/30/16
 
6/30/15
 
 
 
 
 
 
 
 
 
 
 
 
 
Revenues
 
 
 
 
 
 
 
 
 
Rental income
$
245,575

 
$
244,030

 
$
496,721

 
$
487,600

 
 
Expense reimbursements
61,763

 
65,512

 
131,475

 
135,266

 
 
Other revenues
2,719

 
2,569

 
4,965

 
4,538

 
Total revenues
310,057

 
312,111

 
633,161

 
627,404

 
 
 
 
 
 
 
 
 
 
 
 
 
Operating expenses
 
 
 
 
 
 
 
 
 
Operating costs
31,415

 
30,667

 
66,466

 
65,827

 
 
Real estate taxes
38,683

 
43,974

 
83,074

 
88,163

 
 
Depreciation and amortization
95,818

 
104,441

 
196,297

 
212,985

 
 
Provision for doubtful accounts
1,621

 
2,525

 
4,361

 
5,020

 
 
Impairment of real estate assets

 

 

 
807

 
 
General and administrative
27,198

 
20,285

 
47,922

 
51,000

 
Total operating expenses
194,735

 
201,892

 
398,120

 
423,802

 
 
 
 
 
 
 
 
 
 
 
 
 
Other income (expense)
 
 
 
 
 
 
 
 
 
Dividends and interest
319

 
90

 
392

 
184

 
 
Interest expense
(56,184
)
 
(62,158
)
 
(113,627
)
 
(124,722
)
 
 
Gain on sale of real estate assets
7,782

 
9,224

 
7,782

 
9,224

 
 
Gain on extinguishment of debt, net
93

 
493

 
93

 
785

 
 
Other
(1,981
)
 
(2,811
)
 
(2,888
)
 
(2,995
)
 
Total other expense
(49,971
)
 
(55,162
)
 
(108,248
)
 
(117,524
)
 
 
 
 
 
 
 
 
 
 
 
 
 
Income before equity in income of unconsolidated joint ventures
65,351

 
55,057

 
126,793

 
86,078

 
Equity in income of unconsolidated joint ventures
119

 
110

 
226

 
225

 
Net income
65,470

 
55,167

 
127,019

 
86,303

 
Net income attributable to non-controlling interests
(1,014
)
 
(1,055
)
 
(2,086
)
 
(1,768
)
 
Net income attributable to common stockholders
$
64,456

 
$
54,112

 
$
124,933

 
$
84,535

 
 
 
 
 
 
 
 
 
 
 
 
 
Per common share:
 
 
 
 
 
 
 
 
 
Net income attributable to common stockholders:
 
 
 
 
 
 
 
 
 
 
Basic
$
0.21

 
$
0.18

 
$
0.42

 
$
0.28

 
 
 
Diluted
$
0.21

 
$
0.18

 
$
0.42

 
$
0.28

 
 
Weighted average shares:
 
 
 
 
 
 
 
 
 
 
Basic
299,872

 
298,464

 
299,526

 
297,332

 
 
 
Diluted
              300,204

 
              298,994

 
               304,861

 
               304,719






 
ix



FUNDS FROM OPERATIONS (FFO)
Unaudited, dollars in thousands, except per share amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
 
 
6/30/16
 
6/30/15
 
6/30/16
 
6/30/15
 
 
 
 
 
 
 
 
 
 
 
 
 
Net income
$
65,470

 
$
55,167

 
$
127,019

 
$
86,303

 
 
Gain on disposition of operating properties
(7,782
)
 
(9,224
)
 
(7,782
)
 
(9,224
)
 
 
Depreciation and amortization- real estate related- continuing operations
95,040

 
103,087

 
194,725

 
210,277

 
 
Depreciation and amortization- real estate related- unconsolidated joint ventures
20

 
21

 
45

 
43

 
 
Impairment of operating properties

 

 

 
807

 
NAREIT FFO
$
152,748

 
$
149,051

 
$
314,007

 
$
288,206

 
 
 
 
 
 
 
 
 
 
 
 
 
NAREIT FFO per share/OP Unit - diluted
$
0.50

 
$
0.49

 
$
1.03

 
$
0.95

 
Weighted average shares/OP Units outstanding - basic and diluted (1)
304,920

 
304,826

 
304,861

 
304,730

 
 
 
 
 
 
 
 
 
 
 
 
 
Items that impact FFO comparability
 
 
 
 
 
 
 
 
 
Executive equity based compensation (2)
$
(2,725
)
 
$

 
$
(88
)
 
$

 
 
Executive severance expenses
(2,260
)
 

 
(2,260
)
 

 
 
Shareholder equity offering expenses
(450
)
 
(355
)
 
(450
)
 
(606
)
 
 
Litigation and other non-routine legal expenses
(344
)
 

 
(344
)
 

 
 
Property acquisition expenses
(211
)
 
(1,487
)
 
(211
)
 
(1,487
)
 
 
Audit committee review expenses
(59
)
 

 
(3,711
)
 

 
 
Non-recurring charge related to pre-IPO compensation programs

 

 

 
(9,875
)
 
 
Gain on extinguishment of debt, net
93

 
493

 
93

 
785

 
Total items that impact FFO comparability
$
(5,956
)
 
$
(1,349
)
 
$
(6,971
)
 
$
(11,183
)
 
Items that impact FFO comparability, net per share
$
(0.02
)
 
$
0.00

 
$
(0.02
)
 
$
(0.04
)
 
 
 
 
 
 
 
 
 
 
 
 
 
Additional Disclosures
 
 
 
 
 
 
 
 
 
Straight-line rental income (3)
$
3,658

 
$
5,333

 
$
6,514

 
$
9,306

 
 
Amortization of above- and below-market rent and tenant inducements, net (4)
8,865

 
10,915

 
19,676

 
24,452

 
 
Straight-line ground rent (expense) income
(901
)
 
11

 
(897
)
 
23

 
 
 
 
 
 
 
 
 
 
 
 
 
Dividends declared per share/OP Unit
$
0.245

 
$
0.225

 
$
0.490

 
$
0.450

 
Shares/OP Unit dividends declared
$
74,649

 
$
68,468

 
$
149,281

 
$
136,934

 
Share/OP Unit dividend payout ratio (as % of NAREIT FFO)
48.9
%
 
45.9
%
 
47.5
%
 
47.5
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Basic and diluted shares/OP Units outstanding reflects an assumed conversion of vested OP Units to common stock of the Company and the vesting of certain equity awards.
(2) Represents equity based compensation expense associated with executive departures for the three and six months ended June 30, 2016.
 
 
 
 
(3) Includes unconsolidated joint venture Montecito Marketplace straight-line rental income of $1 and $5 at pro rata share for the three and six months ended June 30, 2016, respectively and $3 at
pro rata share for the three and six months ended June 30, 2015.
 
 
 
 
 
 
 
(4) Includes unconsolidated joint venture Montecito Marketplace amortization of above- and below-market rent and tenant inducements of $8 and $15 at pro rata share for the three and six
months ended June 30, 2016, respectively and $8 and $15 at pro rata share for the three and six months ended June 30, 2015.
 
 
 
 
 
 






 
x



SAME PROPERTY NOI ANALYSIS & RECONCILIATION OF NET INCOME ATTRIBUTABLE TO COMMON STOCKHOLDERS
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
 
 
Six Months Ended
 
 
 
 
 
 
 
 
6/30/16
 
6/30/15
 
Change
 
6/30/16
 
6/30/15
 
Change
 
Same Property NOI Analysis
 
 
 
 
 
 
 
 
 
 
 
 
 
Number of properties
 
514

 
514

 
 
514

 
514

 
 
Percent billed
 
90.5
%
 
90.2
%
 
0.3%
 
90.5
%
 
90.2
%
 
0.3%
 
Percent leased
 
92.8
%
 
92.4
%
 
0.4%
 
92.8
%
 
92.4
%
 
0.4%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Revenues
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Base rent
 
$
227,487

 
$
221,464

 
 
 
$
454,436

 
$
442,869

 
 
 
 
Ancillary and other
 
3,951

 
5,095

 
 
 
7,730

 
8,116

 
 
 
 
Expense reimbursements
 
61,627

 
65,536

 
 
 
130,963

 
135,241

 
 
 
 
Percentage rents
 
2,360

 
2,062

 
 
 
4,306

 
3,547

 
 
 
 
 
 
 
 
295,425

 
294,157

 
0.4%
 
597,435

 
589,773

 
1.3%
 
Operating expenses
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Operating costs
 
(30,506
)
 
(30,494
)
 
 
 
(65,498
)
 
(65,760
)
 
 
 
 
Real estate taxes
 
(38,500
)
 
(44,065
)
 
 
 
(82,687
)
 
(88,121
)
 
 
 
 
Provision for doubtful accounts
 
(1,630
)
 
(2,491
)
 
 
 
(4,395
)
 
(4,916
)
 
 
 
 
 
 
 
 
(70,636
)
 
(77,050
)
 
(8.3)%
 
(152,580
)
 
(158,797
)
 
(3.9%)
 
Same property NOI(1)
 
$
224,789

 
$
217,107

 
3.5%
 
$
444,855

 
$
430,976

 
3.2%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Same property NOI excluding redevelopments (2)
 
$
224,569

 
$
216,911

 
3.5%
 
$
444,442

 
$
430,579

 
3.2%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
NOI margin
 
76.1
%
 
73.8
%
 
3.1%
 
74.5
%
 
73.1
%
 
1.9%
 
Expense recovery ratio
 
89.3
%
 
87.9
%
 
1.6%
 
88.4
%
 
87.9
%
 
0.6%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent contribution to same property NOI growth:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Change
 
Percent Change
 
 
 
Change
 
Percent Change
 
 
 
 
Base rent
 
$
6,023

 
2.7%
 
 
 
$
11,567

 
2.7%
 
 
 
 
Ancillary and other
 
(1,144
)
 
(0.5)%
 
 
 
(386
)
 
(0.1%)
 
 
 
 
Net recoveries
 
1,644

 
0.8%
 
 
 
1,418

 
0.3%
 
 
 
 
Percentage rents
 
298

 
0.1%
 
 
 
759

 
0.2%
 
 
 
 
Provision for doubtful accounts
 
861

 
0.4%
 
 
 
521

 
0.1%
 
 
 
 
 
 
 
 
 
 
3.5%
 
 
 
 
 
3.2%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Reconciliation of Net Income Attributable to Common Stockholders to Same Property NOI
 
 
 
 
 
 
 
 
 
 
Same property NOI (1)
 
$
224,789

 
$
217,107

 
 
 
$
444,855

 
$
430,976

 
 
 
Adjustments:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Non-same property NOI
 
1,011

 
951

 
 
 
2,490

 
2,274

 
 
 
 
Lease termination fees
 
766

 
285

 
 
 
6,363

 
719

 
 
 
 
Straight-line rental income
 
3,659

 
5,336

 
 
 
6,519

 
9,309

 
 
 
 
Amortization of above- and below-market rent and tenant inducements, net
 
8,857

 
10,907

 
 
 
19,661

 
24,437

 
 
 
 
Fee Income
 
343

 
534

 
 
 
638

 
1,021

 
 
 
 
Straight-line ground rent (expense) income
 
(901
)
 
11

 
 
 
(897
)
 
23

 
 
 
 
Depreciation and amortization
 
(95,818
)
 
(104,441
)
 
 
 
(196,297
)
 
(212,985
)
 
 
 
 
Impairment of real estate assets
 

 

 
 
 

 
(807
)
 
 
 
 
General and administrative
 
(27,198
)
 
(20,285
)
 
 
 
(47,922
)
 
(51,000
)
 
 
 
 
Total other expense
 
(49,971
)
 
(55,162
)
 
 
 
(108,248
)
 
(117,524
)
 
 
 
 
Equity in income of unconsolidated joint ventures
 
119

 
110

 
 
 
226

 
225

 
 
 
 
Pro rata share of same property NOI of unconsolidated joint ventures
 
(186
)
 
(186
)
 
 
 
(369
)
 
(365
)
 
 
 
 
Net income attributable to non-controlling interests
 
(1,014
)
 
(1,055
)
 
 
 
(2,086
)
 
(1,768
)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Net income attributable to common stockholders
 
$
64,456

 
$
54,112

 
 
 
$
124,933

 
$
84,535

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Includes unconsolidated joint venture, Montecito Marketplace, at pro rata share.
(2) Excludes one redevelopment property.


 
xi

EX-99.2 3 brx8k07252016ex992.htm EX 99.2 Exhibit
Exhibit 99.2





 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
SUPPLEMENTAL DISCLOSURE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended June 30, 2016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 





TABLE OF CONTENTS
 
 
 
 
 
 
 
 
 
 
 
 
Page
 
 
 
Glossary of Terms
1
 
 
 
Results Overview
3
 
 
 
Financial Summary
 
 
 
 
 
Consolidated Balance Sheets
5
 
 
 
 
Consolidated Statements of Operations
6
 
 
 
 
EBITDA
7
 
 
 
 
Funds From Operations (FFO)
8
 
 
 
 
Supplemental Balance Sheet Detail
9
 
 
 
 
NOI Detail, Supplemental Statement of Operations Detail, Operating Ratios & Additional Disclosures
10
 
 
 
 
Same Property NOI Analysis & Reconciliation of Net Income Attributable to Common Stockholders
11
 
 
 
 
Capital Expenditures
12
 
 
 
 
Capitalization, Liquidity & Debt Ratios
13
 
 
 
 
Debt Overview
14
 
 
 
 
Summary of Outstanding Debt
15
 
 
 
 
Unsecured OP Notes Covenant Disclosure
17
 
 
 
 
Unsecured Credit Facility Covenant Disclosure
18
 
 
 
Investment Summary
 
 
 
 
 
Acquisitions
20
 
 
 
 
Dispositions
21
 
 
 
 
Anchor Space Repositioning Summary
22
 
 
 
 
Redevelopment, Outparcel Development & New Development Summary
23
 
 
 
Portfolio Summary
 
 
 
 
 
Portfolio Overview
25
 
 
 
 
Top Forty Retailers Ranked by ABR
26
 
 
 
 
New & Renewal Lease Summary
27
 
 
 
 
New Lease Net Effective Rent
28
 
 
 
 
Lease Expiration Schedule
29
 
 
 
 
Properties by Largest US MSAs
30
 
 
 
 
Largest MSAs by ABR
32
 
 
 
 
Properties by State
35
 
 
 
 
Property List
36
 
 
 
Guidance
 
 
 
 
 
Guidance & Additional Disclosures
48
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Note: Financial information is unaudited.
 
 
 
 
 
 
 
 
 
For additional information, please visit www.brixmor.com, follow Brixmor on Twitter at www.twitter.com/Brixmor or find Brixmor on LinkedIn at www.linkedin.com/company/brixmor.
 
 
 
 
 
 
 
 
This Supplemental Disclosure may contain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934. These statements include, but are not limited to, statements related to the Company’s expectations regarding the performance of its business, its financial results, its liquidity and capital resources and other non-historical statements. You can identify these forward-looking statements by the use of words such as “outlook,” “believes,” “expects,” “potential,” “continues,” “may,” “will,” “should,” “seeks,” “approximately,” “projects,” “predicts,” “intends,” “plans,” “estimates,” “anticipates” or the negative version of these words or other comparable words. Such forward-looking statements are subject to various risks and uncertainties, including those described under the section entitled “Risk Factors” in the Company’s Annual Report on Form 10-K for the year ended December 31, 2015 as such factors may be updated from time to time in our periodic filings with the SEC, which are accessible on the SEC’s website at www.sec.gov. Accordingly, there are or will be important factors that could cause actual outcomes or results to differ materially from those indicated in these statements. These factors should not be construed as exhaustive and should be read in conjunction with the other cautionary statements that are included in this document and in the Company’s filings with the SEC. The Company undertakes no obligation to publicly update or review any forward-looking statement, whether as a result of new information, future developments or otherwise, except as required by law.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 



Supplemental Disclosure - Three Months Ended June 30, 2016

 




GLOSSARY OF TERMS
 
 
 
 
 
 
 
Term
 
Definition
 
 
 
 
 
 
 
Anchor Spaces
 
Spaces equal to or greater than 10,000 sq. ft. of GLA.
 
 
 
 
 
 
 
Anchor Space Repositioning
 
Anchor leasing that is primarily focused on reconfiguring or remerchandising existing space with minimal work required outside of normal tenant
 
 
 
 
improvement costs.
 
 
 
 
 
 
 
Annualized Base Rent or "ABR"
 
As of a specified date, monthly base rent as of such date, under leases which have been signed or commenced as of the specified date multiplied
 
 
 
 
by 12. Annualized base rent (i) excludes tenant reimbursements or expenses borne by the tenants, such as the expenses for real estate taxes and
 
 
 
 
insurance and common area and other operating expenses, (ii) does not reflect amounts due per percentage rent lease terms, (iii) is calculated on a
 
 
 
 
cash basis and differs from how rent is calculated in accordance with generally accepted accounting principles in the United States of America (“GAAP”)
 
 
 
 
for purposes of financial statements and (iv) does not include any ancillary income.
 
 
 
 
 
 
 
ABR per sq. ft. or "ABR/SF"
 
ABR divided by leased GLA, excluding the GLA of lessee owned leasehold improvements.
 
 
 
 
 
 
 
Billed GLA
 
Aggregate GLA for spaces where the tenant has commenced the payment of rent.
 
 
 
 
 
 
 
Development Stabilization
 
Development projects are deemed stabilized upon the earlier of (i) percent billed reaching 90% or (ii) one year following the property being placed in
 
 
 
 
service.
 
 
 
 
 
 
 
EBITDA, Adjusted EBITDA & Cash Adjusted EBITDA
 
EBITDA, Adjusted EBITDA & Cash Adjusted EBITDA are supplemental, non-GAAP performance measures. Please see below for more information on the
 
 
 
limitations of non-GAAP performance measures. A reconciliation of EBITDA to net income is provided herein.
 
 
 
 
EBITDA is calculated as the sum of net income (loss) in accordance with GAAP before interest expense, federal and state taxes, depreciation and
 
 
 
 
amortization. Adjusted EBITDA represents EBITDA as adjusted for (i) property acquisition expenses, (ii) gain (loss) on disposition of operating properties,
 
 
 
 
(iii) impairment of real estate assets and real estate equity investments, (iv) gain (loss) on disposition of unconsolidated joint ventures, (v) gain (loss) on
 
 
 
 
extinguishment of debt, and (vi) other items that are not indicative of the Company's operating performance. Cash Adjusted EBITDA represents Adjusted
 
 
 
 
EBITDA adjusted for straight-line rental income, amortization of above- and below-market rent and tenant inducements and straight-line ground
 
 
 
 
rent expense. EBITDA, Adjusted EBITDA & Cash Adjusted EBITDA include unconsolidated joint venture, Montecito Marketplace, at pro rata share.
 
 
 
 
 
 
 
Gross Leasable Area or "GLA"
 
Represents the total amount of property square footage that can generate income by being leased to tenants.
 
 
 
 
 
 
 
Leased GLA
 
Aggregate GLA of all leases executed as of a given date, including those which the tenant has not yet opened for business and/or has not yet
 
 
 
 
commenced the payment of rent.
 
 
 
 
 
 
 
LIBOR
 
London Interbank Offered Rate.
 
 
 
 
 
 
 
Metropolitan Statistical Area or "MSA"
Defined by the United States Office of Management and Budget (“OMB”) as a region associated with at least one urbanized area that has a population
 
 
 
 
of at least 50,000 and comprises the central county or counties containing the core, plus adjacent outlying counties having a high degree of social and
 
 
 
 
economic integration with the central county or counties as measured through commuting.
 
 
 
 
 
 
 
NAREIT
 
National Association of Real Estate Investment Trusts.
 
 
 
 
 
 
 
NAREIT Funds From Operations (“FFO")
NAREIT FFO is a supplemental, non-GAAP performance measure. Please see below for more information on the limitations of non-GAAP performance
 
 
 
 
measures. A reconciliation of NAREIT FFO to net income is provided herein.
 
 
 
 
NAREIT defines FFO as net income (loss) in accordance with GAAP excluding (i) gain (loss) on disposition of operating properties, and (ii) extraordinary
 
 
 
 
items, plus (iii) depreciation and amortization of operating properties, (iv) impairment of operating properties and real estate equity investments, and
 
 
 
 
(v) after adjustments for joint ventures calculated to reflect funds from operations on the same basis.
 
 
 
 
 
 
 
Net Effective Rent
 
Average annual base rent adjusted for any tenant incentive / allowance, tenant specific landlord work, third party leasing commissions and rent
 
 
 
 
concessions, weighted by GLA over the lease term.
 
 
 
 
 
 
 
Net Operating Income or "NOI"
 
NOI is a supplemental, non-GAAP performance measure. Please see below for more information on the limitations of non-GAAP performance measures.
 
 
 
 
A reconciliation of NOI to net income is provided herein.
 
 
 
 
Calculated as total property revenues in accordance with GAAP (base rent, percentage rents, expense reimbursements and other income) less
 
 
 
 
direct property operating expenses (operating costs, real estate taxes and provisions for doubtful accounts). NOI excludes corporate level income
 
 
 
 
(including management, transaction, and other fees), lease termination fees, straight-line rental income, amortization of above- and below-market rent
 
 
 
 
and tenant inducements, straight-line ground rent expense and the Company's unconsolidated joint venture, Montecito Marketplace.
 
 
 
 
 
 
 
NOI Yield
 
Calculated as projected NOI over the incremental third party costs of a given project.
 
 
 
 
 
 
 
Non-controlling Interests
 
Relate to the portion of Brixmor Operating Partnership LP ("OP”), a consolidated subsidiary, held by the non-controlling interest holders. As of June 30, 2016,
 
 
 
 
the Company, through its 100% ownership of BPG Subsidiary, Inc., owns 98.82% of the OP. The remaining 1.18% is held by certain investment funds affiliated
 
 
 
 
with the Blackstone Group L.P. and certain members of the Parent Company’s current and former management.
 
 
 
 
 
 
 
Non-owned Major Tenant
 
Also known as shadow anchor. Includes tenants that are situated on parcels which are owned by unrelated third parties, but, due to their location within
 
 
 
 
or immediately adjacent to a shopping center, appear to the consumer as another retail tenant of the shopping center and, as a result, attract additional
 
 
 
 
customer traffic to the center.
 
 
 
 
 
 
 
Percent Billed
 
Refers to the percentage of GLA where the tenant is currently paying rent.
 
 
 
 
 
 
 
Percent Leased
 
Refers to the percentage of GLA leased, includes lease agreements that have been signed but have not yet commenced.
 
 
 
 
 
 
 
PSF
 
Per square foot of GLA.
 
 
 
 
 
 
 
Redevelopment Properties
 
Larger scale projects that typically involve substantial demolition of a portion of the shopping center to accommodate new retailers.
 
 
 
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 1




 
Rent Spread
 
Represents percentage change in cash ABR PSF in the first year of the new lease relative to cash ABR PSF in the last year of the old lease. Rent spreads
 
 
 
 
are presented only for leases deemed comparable. Non-comparable leases include new leases signed on units that have been vacant for longer than
 
 
 
 
12 months and leases signed on first generation space.
 
 
 
 
 
 
 
          Renewal Rent Spread
 
Includes leases renewed with the same tenant in the same location to extend the term of expiring leases.
 
 
 
 
 
 
 
          Option Rent Spread
 
Includes renewal options exercised by tenants in the same location to extend the term of expiring leases.
 
 
 
 
 
 
 
          Total Rent Spread
 
Combined spreads for new, renewal and option leases.
 
 
 
 
 
 
 
Same Property Net Operating Income
 
Same property NOI is a supplemental, non-GAAP performance measure. Please see below for more information on the limitations of non-GAAP
 
 
or Same Property NOI
 
performance measures. A reconciliation of same property NOI to net income is provided herein.
 
 
 
 
Calculated (using properties owned for the entirety of both periods excluding properties under development or pending stabilization), as rental income
 
 
 
 
(base rent, percentage rents, expense reimbursements and other property income) less rental operating expenses (operating costs, real estate taxes and
 
 
 
 
provisions for doubtful accounts). Same property NOI includes unconsolidated joint venture, Montecito Marketplace, at pro rata share. Same property
 
 
 
 
NOI excludes corporate level income (including management, transaction and other fees), lease termination fees, straight-line rental income,
 
 
 
 
amortization of above- and below-market rent and tenant inducements, straight-line ground rent expense and income / expense associated with
 
 
 
 
the captive insurance entity.
 
 
 
 
 
 
 
Small Shop Spaces
 
Spaces of less than 10,000 sq. ft. of GLA.
 
 
 
 
 
 
 
Straight-line Rent
 
Non-cash revenue related to GAAP requirement to average the tenant's rent payments over the life of the lease, regardless of the actual cash collected
 
 
 
 
in the period.
 
 
 
 
 
 
 
Year Built
 
Year of most recent anchor space repositioning / redevelopment or year built if no anchor space repositioning / redevelopment has occurred.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Non-GAAP Performance Measures
 
 
 
 
 
 
 
 
 
 
 
 
 
 
The Company's non-GAAP performance measures have limitations as they do not include all items of income and expense that affect operations, and accordingly, should always be considered
 
 
as supplemental financial results presented in accordance with GAAP.
 
 
Non-GAAP performance measures should not be considered as alternatives to or more meaningful than net income (determined in accordance with GAAP) or other GAAP financial measures, as
 
 
indicators of financial performance and are not alternatives to cash flow from operating activities (determined in accordance with GAAP) as a measure of liquidity.
 
 
Computation of non-GAAP performance measures may differ in certain respects from the methodology utilized by other REITs and, therefore, may not be comparable to similarly titled measures
 
 
presented by such other REITs. Investors are cautioned that items excluded from non-GAAP performance measures are significant components in understanding and addressing financial
 
 
performance.
 
 
 
 
 
 
 
 
 
The Company believes that the non-GAAP measures it presents are useful to investors for the following reasons:
 
 
  • NAREIT FFO
 
NAREIT FFO assists investors in analyzing Brixmor’s comparative operating and financial performance because, by excluding gains and losses related
 
 
 
 
to dispositions of previously depreciated operating properties, real estate-related depreciation and amortization of continuing operations and
 
 
 
 
unconsolidated joint ventures (which can vary among owners of properties in similar condition based on historical cost accounting and useful life
 
 
 
 
estimates) and impairment of operating properties, NAREIT FFO can help investors compare the operating performance of a company’s real estate
 
 
 
 
between periods or as compared to different companies.
 
 
 
 
 
 
 
  • EBITDA, Adjusted EBITDA & Cash
       Adjusted EBITDA
 
EBITDA, Adjusted EBITDA & Cash Adjusted EBITDA are utilized in various financial ratios as a measure of Brixmor's operational performance because EBITDA,
 
 
 
Adjusted EBITDA & Cash Adjusted EBITDA exclude various items that do not relate to or are not indicative of its operating performance. Accordingly,
 
 
 
 
the use of EBITDA, Adjusted EBITDA & Cash Adjusted EBITDA in various ratios provides a meaningful performance measure as it relates to its ability to
 
 
 
 
meet various coverage tests for the stated period.
 
 
 
 
 
 
 
  • Same Property NOI
 
Same property NOI includes only the net operating income of properties owned and stabilized for the full period presented, which eliminates disparities in
 
 
 
 
net income due to the acquisition, disposition or stabilization of properties during the period presented, and therefore, provides a more consistent metric
 
 
 
 
for comparing the performance of properties. Management uses same property NOI to review operating results for comparative purposes with respect to
 
 
 
 
previous periods or forecasts, and also to evaluate future prospects.
 
 
 
 
 
 
 
In addition, the Company presents these supplemental non-GAAP performance measures because the Company believes that these measures are helpful to and frequently used by securities
 
 
analysts, investors and other interested parties in the evaluation of REITs.
 
 
 
 
 
 
 
 
 
 
 
                                                                                                                             

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 2


RESULTS OVERVIEW
 
 
 
 
 
 
 
 
 
 
Unaudited, dollars in thousands except per share and per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
Summary Financial Results
 
6/30/16
 
6/30/15
 
6/30/16
 
6/30/2015
 
 
 
 
Total revenues (page 6)
 
$
310,057

 
$
312,111

 
$
633,161

 
$
627,404

 
 
 
 
Net income attributable to common stockholders (page 6)
 
64,456

 
54,112

 
124,933

 
84,535

 
 
 
 
Net income attributable to common stockholders - per diluted share (page 6)
 
0.21

 
0.18

 
0.42

 
0.28

 
 
 
 
Adjusted EBITDA (page 7)
 
216,688

 
215,153

 
438,050

 
428,971

 
 
 
 
Cash adjusted EBITDA (page 7)
 
205,066

 
198,894

 
412,757

 
395,190

 
 
 
 
NAREIT FFO (page 8)
 
152,748

 
149,051

 
314,007

 
288,206

 
 
 
 
NAREIT FFO per share/OP Unit - diluted (page 8)
 
0.50

 
0.49

 
1.03

 
0.95

 
 
 
 
 
Items that impact FFO comparability, net per share (page 8)
 
(0.02
)
 
0.00

 
(0.02
)
 
(0.04
)
 
 
 
 
Dividends declared per share/OP Unit (page 8)
 
0.245

 
0.225

 
0.490

 
0.450

 
 
 
 
Share/OP Unit dividend payout ratio (as % of NAREIT FFO) (page 8)
 
48.9
%
 
45.9
%
 
47.5
%
 
47.5
%
 
 
 
 
NOI (page 10)
 
225,614

 
217,872

 
446,976

 
432,885

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Summary Operating and Financial Ratios
 
6/30/16
 
3/31/16
 
12/31/15
 
9/30/15
 
6/30/15
 
 
NOI margin (page 10)
 
76.1
%
 
72.9
%
 
72.1
%
 
74.6
%
 
73.8
%
 
 
Same property NOI (page 11) (1) (2)
 
3.5
%
 
2.8
%
 
n/a

 
3.6
%
 
3.6
%
 
 
Fixed charge coverage (page 13)
 
3.5x

 
3.6x

 
3.3x

 
3.1x

 
3.1x

 
 
Net principal debt to adjusted EBITDA (GAAP) (page 13)
 
6.7x

 
6.6x

 
6.7x

 
6.8x

 
6.8x

 
 
Net principal debt to adjusted EBITDA (cash) (page 13)
 
7.1x

 
7.0x

 
7.3x

 
7.3x

 
7.4x

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Outstanding Classes of Stock and Partnership Units
 
At 6/30/16
 
At 3/31/16
 
At 12/31/15
 
At 9/30/15
 
At 6/30/15
 
 
Common shares outstanding (page 13)
 
301,099

 
299,248

 
299,138

 
298,489

 
298,489

 
 
Exchangeable OP Units held by non-controlling interests (page 13)
 
3,593

 
5,354

 
5,182

 
5,798

 
5,814

 
 
Total
 
304,692

 
304,602

 
304,320

 
304,287

 
304,303

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Summary Portfolio Statistics
 
At 6/30/16
 
At 3/31/16
 
At 12/31/15
 
At 9/30/15
 
At 6/30/15
 
 
Number of properties (page 25)
 
516

 
518

 
518

 
519

 
519

 
 
Percent billed (page 25)
 
90.6
%
 
90.4
%
 
91.0
%
 
90.9
%
 
90.3
%
 
 
Percent leased (page 25)
 
92.8
%
 
92.4
%
 
92.6
%
 
92.6
%
 
92.5
%
 
 
ABR / SF (page 25)
 
$
12.85

 
$
12.85

 
$
12.76

 
$
12.68

 
$
12.31

 
 
Total - new, renewal & option rent spread (page 27)
 
12.1
%
 
10.9
%
 
14.8
%
 
15.2
%
 
16.1
%
 
 
New & renewal rent spread (page 27)
 
15.6
%
 
16.3
%
 
18.4
%
 
22.2
%
 
24.8
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) The Company did not report same property NOI for the quarter ended December 31, 2015. Same property NOI for the twelve months ended December 31, 2015 was 3.2%. The information
presented for quarters ending June 30, 2015 and September 30, 2015 is as originally reported by the Company. As disclosed by the Company on February 8, 2016, in connection with an
Audit Committee review, a forensic accounting firm assisting the Audit Committee determined that the quarterly same property NOI percentages for June 30, 2015 and September 30,
2015 were 4.1% and 3.3%, respectively.
 
 
 
 
 
 
 
 
 
 
(2) Includes unconsolidated joint venture, Montecito Marketplace, at pro rata share.
 
 
 
 
 
 
 
 
 
 






Supplemental Disclosure - Three Months Ended June 30, 2016
Page 3




 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
FINANCIAL SUMMARY
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Supplemental Disclosure
Three Months Ended June 30, 2016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 





CONSOLIDATED BALANCE SHEETS
 
 
 
 
Unaudited, dollars in thousands, except share information
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6/30/16
 
12/31/15
 
 
Assets
 
 
 
 
 
 
Real estate
 
 
 
 
 
 
 
Land
$
2,010,074

 
$
2,011,947

 
 
 
 
Buildings and tenant improvements
8,026,276

 
7,997,116

 
 
 
 
Construction in process
68,906

 
46,209

 
 
 
 
Lease intangibles
858,453

 
877,578

 
 
 
 
 
 
10,963,709

 
10,932,850

 
 
 
 
Accumulated depreciation and amortization
(2,034,045
)
 
(1,880,685
)
 
 
 
Real estate, net
8,929,664

 
9,052,165

 
 
 
Investments in and advances to unconsolidated joint ventures
5,028

 
5,019

 
 
 
Cash and cash equivalents
114,272

 
69,528

 
 
 
Restricted cash
47,861

 
41,462

 
 
 
Marketable securities
28,752

 
23,001

 
 
 
Receivables, net of allowance for doubtful accounts of $16,166 and $16,587
169,824

 
180,486

 
 
 
Deferred charges and prepaid expenses, net
115,266

 
109,149

 
 
 
Other assets
17,122

 
17,197

 
 
Total assets
$
9,427,789

 
$
9,498,007

 
 
 
 
 
 
 
 
 
 
 
Liabilities
 
 
 
 
 
 
Debt obligations, net
$
5,966,533

 
$
5,974,266

 
 
 
Accounts payable, accrued expenses and other liabilities
560,215

 
603,439

 
 
Total liabilities
6,526,748

 
6,577,705

 
 
 
 
 
 
 
 
 
 
 
Equity
 
 
 
 
 
 
Common stock, $0.01 par value; authorized 3,000,000,000 shares;
 
 
 
 
 
 
 
301,098,930 and 299,138,450 shares outstanding
3,011

 
2,991

 
 
 
Additional paid in capital
3,287,330

 
3,270,246

 
 
 
Accumulated other comprehensive loss
(1,281
)
 
(2,509
)
 
 
 
Distributions in excess of net income
(423,018
)
 
(400,945
)
 
 
Total stockholders' equity
2,866,042

 
2,869,783

 
 
 
Non-controlling interests
34,999

 
50,519

 
 
Total equity
2,901,041

 
2,920,302

 
 
Total liabilities and equity
$
9,427,789

 
$
9,498,007

 



Supplemental Disclosure - Three Months Ended June 30, 2016
Page 5




CONSOLIDATED STATEMENTS OF OPERATIONS
Unaudited, dollars in thousands, except per share amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
 
 
6/30/16
 
6/30/15
 
6/30/16
 
6/30/15
 
 
 
 
 
 
 
 
 
 
 
 
 
Revenues
 
 
 
 
 
 
 
 
 
Rental income
$
245,575

 
$
244,030

 
$
496,721

 
$
487,600

 
 
Expense reimbursements
61,763

 
65,512

 
131,475

 
135,266

 
 
Other revenues
2,719

 
2,569

 
4,965

 
4,538

 
Total revenues
310,057

 
312,111

 
633,161

 
627,404

 
 
 
 
 
 
 
 
 
 
 
 
 
Operating expenses
 
 
 
 
 
 
 
 
 
Operating costs
31,415

 
30,667

 
66,466

 
65,827

 
 
Real estate taxes
38,683

 
43,974

 
83,074

 
88,163

 
 
Depreciation and amortization
95,818

 
104,441

 
196,297

 
212,985

 
 
Provision for doubtful accounts
1,621

 
2,525

 
4,361

 
5,020

 
 
Impairment of real estate assets

 

 

 
807

 
 
General and administrative
27,198

 
20,285

 
47,922

 
51,000

 
Total operating expenses
194,735

 
201,892

 
398,120

 
423,802

 
 
 
 
 
 
 
 
 
 
 
 
 
Other income (expense)
 
 
 
 
 
 
 
 
 
Dividends and interest
319

 
90

 
392

 
184

 
 
Interest expense
(56,184
)
 
(62,158
)
 
(113,627
)
 
(124,722
)
 
 
Gain on sale of real estate assets
7,782

 
9,224

 
7,782

 
9,224

 
 
Gain on extinguishment of debt, net
93

 
493

 
93

 
785

 
 
Other
(1,981
)
 
(2,811
)
 
(2,888
)
 
(2,995
)
 
Total other expense
(49,971
)
 
(55,162
)
 
(108,248
)
 
(117,524
)
 
 
 
 
 
 
 
 
 
 
 
 
 
Income before equity in income of unconsolidated joint ventures
65,351

 
55,057

 
126,793

 
86,078

 
Equity in income of unconsolidated joint ventures
119

 
110

 
226

 
225

 
Net income
65,470

 
55,167

 
127,019

 
86,303

 
Net income attributable to non-controlling interests
(1,014
)
 
(1,055
)
 
(2,086
)
 
(1,768
)
 
Net income attributable to common stockholders
$
64,456

 
$
54,112

 
$
124,933

 
$
84,535

 
 
 
 
 
 
 
 
 
 
 
 
 
Per common share:
 
 
 
 
 
 
 
 
 
Net income attributable to common stockholders:
 
 
 
 
 
 
 
 
 
 
Basic
$
0.21

 
$
0.18

 
$
0.42

 
$
0.28

 
 
 
Diluted
$
0.21

 
$
0.18

 
$
0.42

 
$
0.28

 
 
Weighted average shares:
 
 
 
 
 
 
 
 
 
 
Basic
299,872

 
298,464

 
299,526

 
297,332

 
 
 
Diluted
              300,204

 
              298,994

 
               304,861

 
               304,719




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 6




EBITDA
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
 
 
6/30/16
 
6/30/15
 
6/30/16
 
6/30/15
 
 
 
 
 
 
 
 
 
 
 
 
 
Net income
$
65,470

 
$
55,167

 
$
127,019

 
$
86,303

 
 
Interest expense - continuing operations
56,184

 
62,158

 
113,627

 
124,722

 
 
Interest expense - unconsolidated joint ventures
42

 
43

 
84

 
86

 
 
Federal and state taxes
980

 
1,198

 
1,789

 
2,066

 
 
Depreciation and amortization - continuing operations
95,818

 
104,441

 
196,297

 
212,985

 
 
Depreciation and amortization - unconsolidated joint ventures
20

 
21

 
45

 
43

 
EBITDA
$
218,514

 
$
223,028

 
$
438,861

 
$
426,205

 
 
 
 
 
 
 
 
 
 
 
 
 
EBITDA
$
218,514

 
$
223,028

 
$
438,861

 
$
426,205

 
 
Gain on disposition of operating properties
(7,782
)
 
(9,224
)
 
(7,782
)
 
(9,224
)
 
 
Gain on extinguishment of debt, net
(93
)
 
(493
)
 
(93
)
 
(785
)
 
 
Impairment of real estate assets

 

 

 
807

 
 
Executive equity based compensation (1)
2,725

 

 
88

 

 
 
Executive severance expenses
2,260

 

 
2,260

 

 
 
Shareholder equity offering expenses
450

 
355

 
450

 
606

 
 
Litigation and other non-routine legal expenses
344

 

 
344

 

 
 
Property acquisition expenses
211

 
1,487

 
211

 
1,487

 
 
Audit committee review expenses
59

 

 
3,711

 

 
 
Non-recurring charge related to pre-IPO compensation programs

 

 

 
9,875

 
 
Total adjustments
(1,826
)
 
(7,875
)
 
(811
)
 
2,766

 
Adjusted EBITDA
216,688

 
215,153

 
438,050

 
428,971

 
 
Straight-line rental income (2)
(3,658
)
 
(5,333
)
 
(6,514
)
 
(9,306
)
 
 
Amortization of above- and below-market rent and tenant inducements, net (3)
(8,865
)
 
(10,915
)
 
(19,676
)
 
(24,452
)
 
 
Straight-line ground rent expense (income)
901

 
(11
)
 
897

 
(23
)
 
 
Total adjustments
(11,622
)
 
(16,259
)
 
(25,293
)
 
(33,781
)
 
Cash adjusted EBITDA
$
205,066

 
$
198,894

 
$
412,757

 
$
395,190

 
 
 
 
 
 
 
 
 
 
 
 
(1) Represents equity based compensation expense associated with executive departures for the three and six months ended June 30, 2016.
 
 
 
 
(2) Includes unconsolidated joint venture Montecito Marketplace straight-line rental income of $1 and $5 at pro rata share for the three and six months ended June 30, 2016, respectively and $3 at
pro rata share for the three and six months ended June 30, 2015.
 
 
 
 
 
 
 
(3) Includes unconsolidated joint venture Montecito Marketplace amortization of above- and below-market rent and tenant inducements of $8 and $15 at pro rata share for the three and six
months ended June 30, 2016, respectively and $8 and $15 at pro rata share for the three and six months ended June 30, 2015.
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 7




FUNDS FROM OPERATIONS (FFO)
Unaudited, dollars in thousands, except per share amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
 
 
6/30/16
 
6/30/15
 
6/30/16
 
6/30/15
 
 
 
 
 
 
 
 
 
 
 
 
 
Net income
$
65,470

 
$
55,167

 
$
127,019

 
$
86,303

 
 
Gain on disposition of operating properties
(7,782
)
 
(9,224
)
 
(7,782
)
 
(9,224
)
 
 
Depreciation and amortization- real estate related- continuing operations
95,040

 
103,087

 
194,725

 
210,277

 
 
Depreciation and amortization- real estate related- unconsolidated joint ventures
20

 
21

 
45

 
43

 
 
Impairment of operating properties

 

 

 
807

 
NAREIT FFO
$
152,748

 
$
149,051

 
$
314,007

 
$
288,206

 
 
 
 
 
 
 
 
 
 
 
 
 
NAREIT FFO per share/OP Unit - diluted
$
0.50

 
$
0.49

 
$
1.03

 
$
0.95

 
Weighted average shares/OP Units outstanding - basic and diluted (1)
304,920

 
304,826

 
304,861

 
304,730

 
 
 
 
 
 
 
 
 
 
 
 
 
Items that impact FFO comparability
 
 
 
 
 
 
 
 
 
Executive equity based compensation (2)
$
(2,725
)
 
$

 
$
(88
)
 
$

 
 
Executive severance expenses
(2,260
)
 

 
(2,260
)
 

 
 
Shareholder equity offering expenses
(450
)
 
(355
)
 
(450
)
 
(606
)
 
 
Litigation and other non-routine legal expenses
(344
)
 

 
(344
)
 

 
 
Property acquisition expenses
(211
)
 
(1,487
)
 
(211
)
 
(1,487
)
 
 
Audit committee review expenses
(59
)
 

 
(3,711
)
 

 
 
Non-recurring charge related to pre-IPO compensation programs

 

 

 
(9,875
)
 
 
Gain on extinguishment of debt, net
93

 
493

 
93

 
785

 
Total items that impact FFO comparability
$
(5,956
)
 
$
(1,349
)
 
$
(6,971
)
 
$
(11,183
)
 
Items that impact FFO comparability, net per share
$
(0.02
)
 
$
0.00

 
$
(0.02
)
 
$
(0.04
)
 
 
 
 
 
 
 
 
 
 
 
 
 
Additional Disclosures
 
 
 
 
 
 
 
 
 
Straight-line rental income (3)
$
3,658

 
$
5,333

 
$
6,514

 
$
9,306

 
 
Amortization of above- and below-market rent and tenant inducements, net (4)
8,865

 
10,915

 
19,676

 
24,452

 
 
Straight-line ground rent (expense) income
(901
)
 
11

 
(897
)
 
23

 
 
 
 
 
 
 
 
 
 
 
 
 
Dividends declared per share/OP Unit
$
0.245

 
$
0.225

 
$
0.490

 
$
0.450

 
Shares/OP Unit dividends declared
$
74,649

 
$
68,468

 
$
149,281

 
$
136,934

 
Share/OP Unit dividend payout ratio (as % of NAREIT FFO)
48.9
%
 
45.9
%
 
47.5
%
 
47.5
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Basic and diluted shares/OP Units outstanding reflects an assumed conversion of vested OP Units to common stock of the Company and the vesting of certain equity awards.
(2) Represents equity based compensation expense associated with executive departures for the three and six months ended June 30, 2016.
 
 
 
 
(3) Includes unconsolidated joint venture Montecito Marketplace straight-line rental income of $1 and $5 at pro rata share for the three and six months ended June 30, 2016, respectively and $3 at
pro rata share for the three and six months ended June 30, 2015.
 
 
 
 
 
 
 
(4) Includes unconsolidated joint venture Montecito Marketplace amortization of above- and below-market rent and tenant inducements of $8 and $15 at pro rata share for the three and six
months ended June 30, 2016, respectively and $8 and $15 at pro rata share for the three and six months ended June 30, 2015.
 
 
 
 
 
 





Supplemental Disclosure - Three Months Ended June 30, 2016
Page 8




SUPPLEMENTAL BALANCE SHEET DETAIL
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6/30/16
 
12/31/15
 
 
 
 
 
 
 
 
 
Receivables, net
 
 
 
 
 
Straight-line rent receivable
$
94,535

 
$
87,417

 
 
Tenant receivables
84,452

 
100,769

 
 
Allowance for doubtful accounts
(16,166
)
 
(16,587
)
 
 
Other
7,003

 
8,887

 
 
Total receivables, net
$
169,824

 
$
180,486

 
 
 
 
 
 
 
 
 
Deferred charges and prepaid expenses, net
 
 
 
 
 
Deferred charges, net
$
95,585

 
$
88,998

 
 
Prepaid expenses, net
19,681

 
20,151

 
 
Total deferred charges and prepaid expenses, net
$
115,266

 
$
109,149

 
 
 
 
 
 
 
 
 
Other assets
 
 
 
 
 
Furniture, fixtures and leasehold improvements, net
$
13,961

 
$
15,148

 
 
Other
3,161

 
2,049

 
 
Total other assets
$
17,122

 
$
17,197

 
 
 
 
 
 
 
 
 
Accounts payable, accrued expenses and other liabilities
 
 
 
 
 
Accounts payable and accrued expenses
$
191,085

 
$
213,964

 
 
Dividends payable
75,526

 
75,973

 
 
Below market leases, net
243,796

 
268,573

 
 
Other
49,808

 
44,929

 
 
Total accounts payable, accrued expenses and other liabilities
$
560,215

 
$
603,439

 
 
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 9




NOI DETAIL, SUPPLEMENTAL STATEMENT OF OPERATIONS DETAIL, OPERATING RATIOS & ADDITIONAL DISCLOSURES
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
 
 
6/30/16
 
6/30/15
 
6/30/16
 
6/30/15
 
Net Operating Income Detail (1)(2)
 
 
 
 
 
 
 
 
 
Base rent
$
228,338

 
$
222,400

 
$
456,423

 
$
445,005

 
 
Ancillary and other
3,955

 
5,102

 
7,755

 
8,130

 
 
Expense reimbursements
61,763

 
65,512

 
131,475

 
135,266

 
 
Percentage rents
2,376

 
2,035

 
4,327

 
3,517

 
 
Operating costs
(30,514
)
 
(30,678
)
 
(65,569
)
 
(65,850
)
 
 
Real estate taxes
(38,683
)
 
(43,974
)
 
(83,074
)
 
(88,163
)
 
 
Provision for doubtful accounts
(1,621
)
 
(2,525
)
 
(4,361
)
 
(5,020
)
 
Net operating income
$
225,614

 
$
217,872

 
$
446,976

 
$
432,885

 
 
 
 
 
 
 
 
 
 
 
 
 
Operating Ratios
 
 
 
 
 
 
 
 
 
NOI margin (NOI / total revenues)
76.1
%
 
73.8
%
 
74.5
%
 
73.1
%
 
 
Expense recovery ratio (expense reimbursements / (operating costs + real estate taxes))
89.3
%
 
87.8
%
 
88.5
%
 
87.8
%
 
 
 
 
 
 
 
 
 
 
 
 
 
Reconciliation of net operating income to net income attributable to common stockholders
 
 
 
 
 
 
 
Net operating income
$
225,614

 
$
217,872

 
$
446,976

 
$
432,885

 
 
Lease termination fees
766

 
285

 
6,363

 
719

 
 
Straight-line rental income
3,659

 
5,336

 
6,519

 
9,309

 
 
Amortization of above- and below-market rent and tenant inducements, net
8,857

 
10,907

 
19,661

 
24,437

 
 
Fee income
343

 
534

 
638

 
1,021

 
 
Straight-line ground rent (expense) income
(901
)
 
11

 
(897
)
 
23

 
 
Depreciation and amortization
(95,818
)
 
(104,441
)
 
(196,297
)
 
(212,985
)
 
 
Impairment of real estate assets

 

 

 
(807
)
 
 
General and administrative
(27,198
)
 
(20,285
)
 
(47,922
)
 
(51,000
)
 
 
Total other expense
(49,971
)
 
(55,162
)
 
(108,248
)
 
(117,524
)
 
 
Equity in income of unconsolidated joint ventures
119

 
110

 
226

 
225

 
 
Net income attributable to non-controlling interests
(1,014
)
 
(1,055
)
 
(2,086
)
 
(1,768
)
 
Net income attributable to common stockholders
$
64,456

 
$
54,112

 
$
124,933

 
$
84,535

 
 
 
 
 
 
 
 
 
 
 
 
 
Supplemental Statement of Operations Detail
 
 
 
 
 
 
 
 
Rental income
 
 
 
 
 
 
 
 
 
Base rent
$
228,338

 
$
222,400

 
$
456,423

 
$
445,005

 
 
Lease termination fees
766

 
285

 
6,363

 
719

 
 
Straight-line rental income
3,659

 
5,336

 
6,519

 
9,309

 
 
Amortization of above- and below-market rent and tenant inducements, net
8,857

 
10,907

 
19,661

 
24,437

 
 
Ancillary and other
3,955

 
5,102

 
7,755

 
8,130

 
 
Total rental income
$
245,575

 
$
244,030

 
$
496,721

 
$
487,600

 
 
 
 
 
 
 
 
 
 
 
 
 
Other revenues
 
 
 
 
 
 
 
 
 
Percentage rents
$
2,376

 
$
2,035

 
$
4,327

 
$
3,517

 
 
Fee income
343

 
534

 
638

 
1,021

 
 
Total other revenues
$
2,719

 
$
2,569

 
$
4,965

 
$
4,538

 
 
 
 
 
 
 
 
 
 
 
 
 
Other (income) expense
 
 
 
 
 
 
 
 
 
Interest expense
 
 
 
 
 
 
 
 
 
 
Mortgage and note interest, excluding capitalized interest
$
44,536

 
$
53,275

 
$
90,064

 
$
107,042

 
 
 
Unsecured credit facility and term loan interest
13,985

 
12,472

 
28,616

 
24,924

 
 
 
Capitalized interest
(582
)
 
(819
)
 
(1,169
)
 
(1,475
)
 
 
 
Deferred financing cost amortization
1,952

 
2,043

 
3,888

 
4,090

 
 
 
Debt (premium) discount amortization, net
(3,707
)
 
(4,813
)
 
(7,772
)
 
(9,859
)
 
 
 
Total interest expense
$
56,184

 
$
62,158

 
$
113,627

 
$
124,722

 
 
 
 
 
 
 
 
 
 
 
 
 
 
Other
 
 
 
 
 
 
 
 
 
 
Federal and state taxes
$
980

 
$
1,198

 
$
1,789

 
$
2,066

 
 
 
Other
1,001

 
1,613

 
1,099

 
929

 
 
 
Total other
$
1,981

 
$
2,811

 
$
2,888

 
$
2,995

 
 
 
 
 
 
 
 
 
 
 
 
 
Additional Disclosures
 
 
 
 
 
 
 
 
 
Equity based compensation (3)
6,160

 
2,597

 
4,578

 
15,548

 
 
Capitalized direct leasing compensation costs
3,704

 
3,769

 
7,812

 
7,565

 
 
Capitalized direct construction compensation costs
1,555

 
1,442

 
3,117

 
3,050

 
 
Straight-line ground rent expense (income) (4)
901

 
(11
)
 
897

 
(23
)
 
 
 
 
 
 
 
 
 
 
 
 
(1) NOI excludes unconsolidated joint venture, Montecito Marketplace, NOI of $186 and $369 at pro rata share for the three and six months ended June 30, 2016, respectively.
 
(2) NOI excludes lease termination fees, straight-line rental income, amortization of above- and below-market rent and tenant inducements, and straight-line ground rent expense.
 
(3) Represents non-cash equity based compensation amortization, including expense associated with the executive departures of $2,725 and $88 for the three and six months ended June 30, 2016, respectively; and a non-recurring charge related to pre-IPO compensation programs of $9,875 for the six months ended June 30, 2015.
(4) Straight-line ground rent expense (income) is included in Operating expenses on the Consolidated Statements of Operations.

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 10




SAME PROPERTY NOI ANALYSIS & RECONCILIATION OF NET INCOME ATTRIBUTABLE TO COMMON STOCKHOLDERS
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
 
 
Six Months Ended
 
 
 
 
 
 
 
 
6/30/16
 
6/30/15
 
Change
 
6/30/16
 
6/30/15
 
Change
 
Same Property NOI Analysis
 
 
 
 
 
 
 
 
 
 
 
 
 
Number of properties
 
514

 
514

 
 
514

 
514

 
 
Percent billed
 
90.5
%
 
90.2
%
 
0.3%
 
90.5
%
 
90.2
%
 
0.3%
 
Percent leased
 
92.8
%
 
92.4
%
 
0.4%
 
92.8
%
 
92.4
%
 
0.4%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Revenues
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Base rent
 
$
227,487

 
$
221,464

 
 
 
$
454,436

 
$
442,869

 
 
 
 
Ancillary and other
 
3,951

 
5,095

 
 
 
7,730

 
8,116

 
 
 
 
Expense reimbursements
 
61,627

 
65,536

 
 
 
130,963

 
135,241

 
 
 
 
Percentage rents
 
2,360

 
2,062

 
 
 
4,306

 
3,547

 
 
 
 
 
 
 
 
295,425

 
294,157

 
0.4%
 
597,435

 
589,773

 
1.3%
 
Operating expenses
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Operating costs
 
(30,506
)
 
(30,494
)
 
 
 
(65,498
)
 
(65,760
)
 
 
 
 
Real estate taxes
 
(38,500
)
 
(44,065
)
 
 
 
(82,687
)
 
(88,121
)
 
 
 
 
Provision for doubtful accounts
 
(1,630
)
 
(2,491
)
 
 
 
(4,395
)
 
(4,916
)
 
 
 
 
 
 
 
 
(70,636
)
 
(77,050
)
 
(8.3)%
 
(152,580
)
 
(158,797
)
 
(3.9%)
 
Same property NOI(1)
 
$
224,789

 
$
217,107

 
3.5%
 
$
444,855

 
$
430,976

 
3.2%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Same property NOI excluding redevelopments (2)
 
$
224,569

 
$
216,911

 
3.5%
 
$
444,442

 
$
430,579

 
3.2%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
NOI margin
 
76.1
%
 
73.8
%
 
3.1%
 
74.5
%
 
73.1
%
 
1.9%
 
Expense recovery ratio
 
89.3
%
 
87.9
%
 
1.6%
 
88.4
%
 
87.9
%
 
0.6%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent contribution to same property NOI growth:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Change
 
Percent Change
 
 
 
Change
 
Percent Change
 
 
 
 
Base rent
 
$
6,023

 
2.7%
 
 
 
$
11,567

 
2.7%
 
 
 
 
Ancillary and other
 
(1,144
)
 
(0.5)%
 
 
 
(386
)
 
(0.1%)
 
 
 
 
Net recoveries
 
1,644

 
0.8%
 
 
 
1,418

 
0.3%
 
 
 
 
Percentage rents
 
298

 
0.1%
 
 
 
759

 
0.2%
 
 
 
 
Provision for doubtful accounts
 
861

 
0.4%
 
 
 
521

 
0.1%
 
 
 
 
 
 
 
 
 
 
3.5%
 
 
 
 
 
3.2%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Reconciliation of Net Income Attributable to Common Stockholders to Same Property NOI
 
 
 
 
 
 
 
 
 
 
Same property NOI (1)
 
$
224,789

 
$
217,107

 
 
 
$
444,855

 
$
430,976

 
 
 
Adjustments:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Non-same property NOI
 
1,011

 
951

 
 
 
2,490

 
2,274

 
 
 
 
Lease termination fees
 
766

 
285

 
 
 
6,363

 
719

 
 
 
 
Straight-line rental income
 
3,659

 
5,336

 
 
 
6,519

 
9,309

 
 
 
 
Amortization of above- and below-market rent and tenant inducements, net
 
8,857

 
10,907

 
 
 
19,661

 
24,437

 
 
 
 
Fee Income
 
343

 
534

 
 
 
638

 
1,021

 
 
 
 
Straight-line ground rent (expense) income
 
(901
)
 
11

 
 
 
(897
)
 
23

 
 
 
 
Depreciation and amortization
 
(95,818
)
 
(104,441
)
 
 
 
(196,297
)
 
(212,985
)
 
 
 
 
Impairment of real estate assets
 

 

 
 
 

 
(807
)
 
 
 
 
General and administrative
 
(27,198
)
 
(20,285
)
 
 
 
(47,922
)
 
(51,000
)
 
 
 
 
Total other expense
 
(49,971
)
 
(55,162
)
 
 
 
(108,248
)
 
(117,524
)
 
 
 
 
Equity in income of unconsolidated joint ventures
 
119

 
110

 
 
 
226

 
225

 
 
 
 
Pro rata share of same property NOI of unconsolidated joint ventures
 
(186
)
 
(186
)
 
 
 
(369
)
 
(365
)
 
 
 
 
Net income attributable to non-controlling interests
 
(1,014
)
 
(1,055
)
 
 
 
(2,086
)
 
(1,768
)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Net income attributable to common stockholders
 
$
64,456

 
$
54,112

 
 
 
$
124,933

 
$
84,535

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Includes unconsolidated joint venture, Montecito Marketplace, at pro rata share.
(2) Excludes one redevelopment property.


Supplemental Disclosure - Three Months Ended June 30, 2016
Page 11




CAPITAL EXPENDITURES
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
Six Months Ended
 
 
 
 
 
6/30/16
 
6/30/16
 
 
 
 
 
 
 
 
 
Leasing related:
 
 
 
 
 
Anchor space repositioning and redevelopment
$
26,651

 
$
44,204

 
 
Tenant improvements and tenant inducements
16,846

 
32,820

 
 
External leasing commissions
2,133

 
3,964

 
 
 
 
 
45,630

 
80,988

 
 
 
 
 
 
 
 
 
New development
130

 
156

 
 
 
 
 
 
 
 
 
Maintenance capital expenditures
3,615

 
4,206

 
 
 
 
 
$
49,375

 
$
85,350





Supplemental Disclosure - Three Months Ended June 30, 2016
Page 12




CAPITALIZATION, LIQUIDITY & DEBT RATIOS
 
 
 
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6/30/16
 
12/31/15
 
Equity Capitalization:
 
 
 
 
 
 
 
 
 
Common shares outstanding
 
 
 
 
301,099

 
299,138

 
 
Exchangeable OP Units held by non-controlling interests
 
 
 
3,593

 
5,182

 
 
 
 
 
 
 
 
 
304,692

 
304,320

 
Common share price
 
 
 
 
$
26.46

 
$
25.82

 
Total equity capitalization
 
 
 
 
$
8,062,150

 
$
7,857,542

 
 
 
 
 
 
 
 
 
 
 
 
 
Debt:
 
 
 
 
 
 
 
 
 
 
Revolving credit facility
 
 
 
 
$

 
$
416,000

 
 
Term loans
 
 
 
 
2,100,000

 
2,100,000

 
 
Unsecured notes
 
 
 
 
1,818,453

 
1,218,453

 
 
Secured mortgages
 
 
 
 
2,048,216

 
2,226,763

 
Total principal debt
 
 
 
 
5,966,669

 
5,961,216

 
Add: Net unamortized premium
 
 
 
 
23,891

 
35,832

 
Less: Deferred financing fees
 
 
 
 
(24,027
)
 
(22,782
)
 
Total debt
 
 
 
 
5,966,533

 
5,974,266

 
Less: cash, cash equivalents and restricted cash
 
 
 
 
(162,133
)
 
(110,990
)
 
Net debt
 
 
 
 
$
5,804,400

 
$
5,863,276

 
 
 
 
 
 
 
 
 
 
 
 
 
Total market capitalization:
 
 
 
 
$
13,866,550

 
$
13,720,818

 
 
 
 
 
 
 
 
 
 
 
 
 
Liquidity:
 
 
 
 
 
 
 
 
 
Cash and cash equivalents and restricted cash
 
 
 
 
$
162,133

 
$
110,990

 
 
Available under unsecured credit facility
 
 
 
 
1,250,000

 
834,000

 
 
 
 
 
 
 
 
 
$
1,412,133

 
$
944,990

 
 
 
 
 
 
 
 
 
 
 
 
 
Ratios:
 
 
 
 
 
 
 
 
 
 
Principal debt to total market capitalization
 
 
 
 
43.0
%
 
43.4
%
 
 
Principal debt to total assets, before depreciation
 
 
 

52.1
%

52.4
%
 
 
Secured principal debt to total assets, before depreciation
 
 
 
17.9
%
 
19.6
%
 
 
Net principal debt to adjusted EBITDA (GAAP)
 
 
 
 
 6.7x

 
 6.7x

 
 
Net principal debt to adjusted EBITDA (cash)
 
 
 
 
 7.1x

 
 7.3x

 
 
Unencumbered assets to unsecured debt
 
 
 
 
 1.9x

 
 1.9x

 
 
Interest coverage (adjusted EBITDA / interest expense)
 
 
 
 3.9x

 
 3.7x

 
 
Debt service coverage (adjusted EBITDA / (interest expense + scheduled principal payments))
 3.5x

 
 3.3x

 
 
Fixed charge coverage (adjusted EBITDA / (interest expense + scheduled principal payments +
    preferred dividends))
 3.5x

 
 3.3x

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6/30/2016
 
 
 
 
Percentage of total debt:
 
 
 
 
 
 
 
 
 
 
Fixed
 
 
 
 
89.9
%
 
 
 
 
 
Floating
 
 
 
 
10.1
%
 
 
 
 
Unencumbered summary:
 
 
 
 
 
 
 
 
 
 
Percent of properties
 
 
 
 
63.9
%
 
 
 
 
 
Percent of NOI
 
 
 
 
62.8
%
 
 
 
 
Weighted average maturity (years):
 
 
 
 
 
 
 
 
 
 
Fixed
 
 
 
 
4.38

 
 
 
 
 
Floating
 
 
 
 
2.72

 
 
 
 
 
Total
 
 
 
 
4.21

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Credit Ratings & Outlook:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Fitch Ratings
BBB-
 
 
 Stable
 
 
 
 
Moody's Investors Service
Baa3
 
 
 Negative
 
 
 
 
Standard & Poor's Ratings Services
BBB-
 
 
 Negative
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Excludes unconsolidated joint venture, Montecito Marketplace.
 
 
 
 
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 13




DEBT OVERVIEW
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Maturity Schedule - Debt obligations
 
 
 
 
 
 
 
 
 
Weighted Avg Interest Rate on Scheduled Maturities

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Scheduled Amortization

 
Scheduled Maturities

 
Total

 
 
 
 
 
Adjusted Total (2)

 
 
 
 
 
2016
 
 
 
$
12,017

 
$
687,133

 
$
699,150

 
5.43
%
 
 
 
 
$
699,150

 
 
 
 
 
2017
 
 
 
21,842

 
327,817

 
349,659

 
6.43
%
 
 
 
 
349,659

 
 
 
 
 
2018
 
 
 
19,476

 
1,500,000

 
1,519,476

 
2.24
%
 
 
 
 
1,019,476

 
 
 
 
 
2019
 
 
 
20,126

 
600,000

 
620,126

 
1.90
%
 
 
 
 
620,126

 
 
 
 
 
2020
 
 
 
15,212

 
751,365

 
766,577

 
6.17
%
 
 
 
 
766,577

 
 
 
 
 
2021
 
 
 

 
186,228

 
186,228

 
6.24
%
 
 
 
 
686,228

 
 
 
 
 
2022
 
 
 

 
500,000

 
500,000

 
3.88
%
 
 
 
 
500,000

 
 
 
 
 
2023
 
 
 

 

 

 

 
 
 
 

 
 
 
 
 
2024
 
 
 

 
7,000

 
7,000

 
4.40
%
 
 
 
 
7,000

 
 
 
 
 
2025
 
 
 

 
700,000

 
700,000

 
3.85
%
 
 
 
 
700,000

 
 
 
 
 
2026+
 
 
 

 
618,453

 
618,453

 
4.22
%
 
 
 
 
618,453

 
 
 
 
 
Total Debt Maturities (1)
 
$
88,673

 
$
5,877,996

 
$
5,966,669

 
3.98
%
 
 
 
$
5,966,669

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Net unamortized discount on notes
 
(8,358
)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Net unamortized premiums on mortgages
 
32,249

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Deferred financing costs
 
(24,027
)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Debt obligations, net
 
$
5,966,533

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Detailed Maturity Schedule - Debt obligations
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Fixed Rate Secured Mortgages
 
Fixed Rate Unsecured Notes (3)
 
Variable Rate Unsecured Credit Facility /
Fixed Rate Unsecured Credit Facility (3)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
Scheduled Amortization

 
Scheduled Maturities

 
Weighted Avg Interest Rate on Scheduled Maturities

 
Scheduled Maturities

 
Weighted Avg Interest Rate on Scheduled Maturities

 
Scheduled Maturities

 
Weighted Avg Interest Rate on Scheduled Maturities

 
 
Adjusted Scheduled Maturities (2)

 
 
 
2016
 
$
12,017

 
$
687,133

 
5.43
%
 
$

 

 
$

 

 
 
$

 
 
 
2017
 
21,842

 
327,817

 
6.43
%
 

 

 

 

 
 

 
 
 
2018
 
19,476

 

 

 

 

 
1,500,000

 
2.24
%
 
 
1,000,000

 
 
 
2019
 
20,126

 

 

 

 

 
600,000

 
1.90
%
 
 
600,000

 
 
 
2020
 
15,212

 
751,365

 
6.17
%
 

 

 

 

 
 

 
 
 
2021
 

 
186,228

 
6.24
%
 

 

 

 

 
 
500,000

 
 
 
2,022
 

 

 

 
500,000

 
3.88
%
 

 

 
 

 
 
 
2,023
 

 

 

 

 

 

 

 
 

 
 
 
2024
 

 
7,000

 
4.40
%
 

 

 

 

 
 

 
 
 
2025
 

 

 

 
700,000

 
3.85
%
 

 

 
 

 
 
 
2026+
 
0

 

 

 
618,453

 
4.22
%
 

 

 
 

 
 
 
Total Debt Maturities
 
$
88,673

 
$
1,959,543

 
5.84
%
 
$
1,818,453

 
3.98
%
 
$
2,100,000

 
2.14
%
 
 
$
2,100,000

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Excludes unconsolidated joint venture, Montecito Marketplace, debt obligations of $2,852 at pro rata share.
 
 
 
 
 
 
 
 
 
 
 
 
(2) Represents scheduled maturities adjusted for the July 2016 amendments to the $2.75 billion corporate credit facility, including the extension of the maturity date for the $1.25 billion revolving credit facility to July 31, 2020 and reallocation of the
 
$1.5 billion term loan into two tranches. The Tranche A term loan of $1.0 billion, which matures on July 31, 2018 and the Tranche B term loan of $500 million, which matures on July 31, 2021.
 
 
 
 
 
 
(3) No scheduled amortization until maturity dates.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 14




SUMMARY OF OUTSTANDING DEBT
 
 
 
 
 
 
 
 
 
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Number of
 
Outstanding
 
Actual
 
Maturity
 
Percent of
 
 
Loan / Property Name
 
MSA
 
 
 
 Properties
 
Balance
 
Interest Rate
 
Date
 
Total Indebtedness
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
FIXED RATE DEBT:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Secured Mortgages
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
REIT 16 LP 220
 
 
 
 
14

 
$
220,936

 
5.39
%
 
11/1/16
 
3.70
%
 
 
 
REIT 14 LP 226
 
 
 
 
14

 
226,109

 
5.44
%
 
12/1/16
 
3.79
%
 
 
 
REIT 15 LP 233
 
 
 
 
15

 
233,977

 
5.44
%
 
12/9/16
 
3.92
%
 
 
 
Dublin Village *
 
Dublin, GA
 
 
 
1

 
6,157

 
5.78
%
 
12/11/16
 
0.10
%
 
 
 
Conyers Plaza I *
 
Atlanta-Sandy Springs-Roswell, GA
 
1

 
10,800

 
5.77
%
 
1/1/17
 
0.18
%
 
 
 
Freshwater - Stateline Plaza
 
Hartford-West Hartford-East Hartford, CT
 
1

 
17,582

 
8.00
%
 
2/1/17
 
0.30
%
 
 
 
Greensboro Village
 
Nashville-Davidson--Murfreesboro--Franklin, TN
 
1

 
8,650

 
5.52
%
 
2/11/17
 
0.15
%
 
 
 
LP - JPM 300
 
 
 
 
18

 
287,046

 
6.38
%
 
9/1/17
 
4.81
%
 
 
 
Whitaker Square
 
Winston-Salem, NC
 
 
 
1

 
8,941

 
6.32
%
 
12/1/17
 
0.15
%
 
 
 
Christmas Tree Plaza
 
New Haven-Milford, CT
 
 
 
1

 
2,244

 
7.89
%
 
5/11/18
 
0.04
%
 
 
 
LP - JPM CMBS
 
 
 
 
71

 
449,418

 
6.27
%
 
8/1/20
 
7.53
%
 
 
 
Monroe ShopRite Plaza
 
New York-Newark-Jersey City, NY-NJ-PA
 
1

 
8,267

 
6.50
%
 
8/1/20
 
0.14
%
 
 
 
Bethel Park Shopping Center
 
Pittsburgh, PA
 
 
 
1

 
9,606

 
6.50
%
 
8/1/20
 
0.16
%
 
 
 
Ivyridge
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
 
1

 
13,401

 
6.50
%
 
8/1/20
 
0.23
%
 
 
 
Roosevelt Mall
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
 
1

 
47,772

 
6.50
%
 
8/1/20
 
0.80
%
 
 
 
Inland (Brixmor/IA, LLC) - Pool A
 
 
 
 
9

 
99,152

 
5.91
%
 
12/6/20
 
1.66
%
 
 
 
Inland (Brixmor/IA, LLC) - Pool B
 
 
 
 
8

 
90,812

 
5.91
%
 
12/6/20
 
1.52
%
 
 
 
Inland (Brixmor/IA, LLC) - Pool C
 
 
 
 
7

 
97,422

 
5.91
%
 
12/31/20
 
1.63
%
 
 
 
REIT 20 LP 51 A
 
 
 
 
4

 
47,087

 
6.24
%
 
1/6/21
 
0.79
%
 
 
 
REIT 20 LP 45 B
 
 
 
 
4

 
42,336

 
6.24
%
 
1/6/21
 
0.71
%
 
 
 
REIT 20 LP 42 C
 
 
 
 
4

 
39,577

 
6.24
%
 
1/6/21
 
0.66
%
 
 
 
REIT 20 LP 37 D
 
 
 
 
3

 
34,177

 
6.24
%
 
1/6/21
 
0.57
%
 
 
 
REIT 20 LP 43 E
 
 
 
 
4

 
39,747

 
6.24
%
 
1/6/21
 
0.67
%
 
 
 
Larchmont Centre
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
 
1

 
7,000

 
4.40
%
 
3/1/24
 
0.12
%
 
 
 
TOTAL FIXED RATE SECURED MORTGAGES
 
 
 
 
 
 
 
2,048,216

 
 
 
 
 
34.33
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Unsecured Credit Facility
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Term Loan Facility (1)
 
 
 
 

 
$
1,500,000

 
2.24
%
 
7/31/18
 
25.14
%
 
 
 
TOTAL FIXED RATE UNSECURED CREDIT FACILITY
 
 
 
 
 
1,500,000

 
 
 
 
 
25.14
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Unsecured Notes
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3.88%, 2022 Brixmor OP Notes
 
 
 
 

 
$
500,000

 
3.88
%
 
8/15/22
 
8.38
%
 
 
 
3.85%, 2025 Brixmor OP Notes
 
 
 
 

 
700,000

 
3.85
%
 
2/28/25
 
11.73
%
 
 
 
4.13%, 2026 Brixmor OP Notes
 
 
 
 

 
600,000

 
4.13
%
 
6/15/26
 
10.06
%
 
 
 
7.97%, 2026 Brixmor LLC Notes
 
 
 
 

 
694

 
7.97
%
 
8/14/26
 
0.01
%
 
 
 
7.65%, 2026 Brixmor LLC Notes
 
 
 
 

 
6,100

 
7.65
%
 
11/2/26
 
0.10
%
 
 
 
7.68%, 2026 Brixmor LLC Notes I
 
 
 
 

 
748

 
7.68
%
 
11/2/26
 
0.01
%
 
 
 
6.90%, 2028 Brixmor LLC Notes I
 
 
 
 

 
2,222

 
6.90
%
 
2/15/28
 
0.04
%
 
 
 
6.90%, 2028 Brixmor LLC Notes II
 
 
 
 

 
5,486

 
6.90
%
 
2/15/28
 
0.09
%
 
 
 
7.50%, 2029 Brixmor LLC Notes
 
 
 
 

 
3,203

 
7.50
%
 
7/30/29
 
0.05
%
 
 
 
TOTAL FIXED RATE UNSECURED NOTES
 
 
 
 
 
 
 
1,818,453

 
 
 
 
 
30.47
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL FIXED RATE DEBT
 
 
 
 
 
 
 
$
5,366,669

 
 
 
 
 
89.94
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 15




SUMMARY OF OUTSTANDING DEBT
 
 
 
 
 
 
 
 
 
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Number of
 
Outstanding
 
Actual
 
Maturity
 
Percent of
 
 
Loan / Property Name
 
MSA
 
 
 
 Properties
 
Balance
 
Interest Rate
 
Date
 
Total Indebtedness
 
 
VARIABLE RATE DEBT:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Unsecured Credit Facility
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Revolving Credit Facility - L+140bps
 
 
 
 

 
$

 
1.90
%
 
7/31/17
 

 
 
 
Term Loan Facility - L+140bps
 
 
 
 

 
600,000

 
1.90
%
 
3/18/19
 
10.06
%
 
 
 
TOTAL VARIABLE RATE UNSECURED CREDIT FACILITY
 
 
 
 
 
600,000

 
 
 
 
 
10.06
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL VARIABLE RATE DEBT
 
 
 
 
 
 
 
$
600,000

 
 
 
 
 
10.06
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL DEBT OBLIGATIONS
 
 
 
 
 
 
 
$
5,966,669

 
 
 
 
 
100.00
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Net unamortized discount on notes
 
(8,358
)
 
 
 
 
 
 
 
 
 
 
 
 
 
Net unamortized premiums on mortgages
 
32,249

 
 
 
 
 
 
 
 
 
 
 
 
 
Deferred financing costs
 
(24,027
)
 
 
 
 
 
 
 
 
 
 
 
 
 
DEBT OBLIGATIONS, NET
 
$
5,966,533

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
* Indicates property is part of a larger shopping center.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Term loan facility has been swapped from 1 month Libor to fixed at a combined rate of 0.844% (spread of 140bps).
 
 
 
 
 
 
 
 
 
 
 



Supplemental Disclosure - Three Months Ended June 30, 2016
Page 16




UNSECURED OP NOTES COVENANT DISCLOSURE
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Covenants
 
As of 6/30/16
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 I. Aggregate debt test
 
 < 65%
 
52.8
%
 
 
 
 
 
Total Debt
 
 
 
 
5,966,533

 
 
 
 
 
Total Assets
 
 
 
11,291,753

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
II. Secured debt test
 
< 40%
 
18.4
%
 
 
 
 
 
Total Secured Debt
 
 
 
2,079,474

 
 
 
 
 
Total Assets
 
 
 
11,291,753

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
III. Unencumbered asset ratio
 
 > 150%
 
186.2
%
 
 
 
 
 
Total Unencumbered Assets
 
 
 
7,239,266

 
 
 
 
 
Unsecured Debt
 
 
 
3,887,059

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
IV. Debt service test
 
 > 1.5x
 
3.7x

 
 
 
 
 
Consolidated EBITDA
 
 
 
876,100

 
 
 
 
 
Annual Debt Service Charge
 
 
 
237,217

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Definitions for unsecured notes covenants:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Debt:
 
Debt means, with respect to any person, any:
 
 
 
 
 
 
 
  • indebtedness of such person in respect of borrowed money or evidenced by bonds, notes, debentures or similar instruments,
 
 
 
 
 
 
 
  • indebtedness secured by any Lien on any property or asset owned by such person, but only to the extent of the lesser of (a) the amount of indebtedness
 
 
 
 
 
 
 
    so secured and (b) the fair market value (determined in good faith by the Operating Partnership) of the property subject to such Lien,
 
 
 
 
 
 
 
  • reimbursement obligations, contingent or otherwise, in connection with any letters of credit actually issued or amounts representing the balance deferred
 
 
 
 
 
 
 
    and unpaid of the purchase price of any property except any such balance that constitutes an accrued expense or trade payable, or
 
 
 
 
 
 
 
  • any lease of property by such person as lessee which is required to be reflected on such person’s balance sheet as a capitalized lease in accordance
 
 
 
 
 
 
 
    with GAAP;
 
 
 
 
 
 
 
in the case of items of indebtedness under (i) through (iii) above to the extent that any such items (other than letters of credit) would appear as liabilities
 
 
 
 
 
 
 
on such person’s balance sheet in accordance with GAAP; provided, however, that the term “Debt” will (1) include, to the extent not otherwise included,
 
 
 
 
 
 
 
any non-contingent obligation of such person to be liable for, or to pay, as obligor, guarantor or otherwise (other than for purposes of collection in the
 
 
 
 
 
 
 
ordinary course of business), Debt of the types referred to above of another person, other than obligations to be liable for the Debt of another person solely
 
 
 
 
 
 
 
as a result of non-recourse carveouts (it being understood that Debt shall be deemed to be incurred by such person whenever such person shall create,
 
 
 
 
 
 
 
assume, guarantee or otherwise become liable in respect thereof) and (2) exclude any such indebtedness (or obligation referenced in clause (1) above)
 
 
 
 
 
 
 
 that has been the subject of an “in substance” defeasance in accordance with GAAP and Intercompany Indebtedness that is subordinate in right of
 
 
 
 
 
 
 
payment to the notes (or an obligation to be liable for, or to pay, Intercompany Indebtedness that is subordinate in right of payment to the notes).
 
 
 
 
 
 
 
 
 
Total Assets:
 
The sum of, without duplication: (i) Undepreciated Real Estate Assets and (ii) all other assets (excluding accounts receivable and non-real estate intangibles)
 
 
 
 
 
 
 
of Brixmor OP and its Subsidiaries, all determined on a consolidated basis in accordance with GAAP.
 
 
 
 
 
 
 
 
 
Total Unencumbered Assets:
 
The sum of, without duplication: (i) those Undepreciated Real Estate Assets which are not subject to a Lien securing Debt; and (ii) all other assets (excluding
 
 
 
 
 
 
 
accounts receivable and non-real estate intangibles) of us and our Subsidiaries not subject to a Lien securing Debt, all determined on a consolidated basis
 
 
 
 
 
 
 
in accordance with GAAP; provided, however, that, in determining Total Unencumbered Assets as a percentage of outstanding Unsecured Debt for
 
 
 
 
 
 
 
purposes of the covenant set forth above in “Certain Covenants—Maintenance of Total Unencumbered Assets,” all investments in unconsolidated limited
 
 
 
 
 
 
 
partnerships, unconsolidated limited liability companies and other unconsolidated entities shall be excluded from Total Unencumbered Assets.
 
 
 
 
 
 
 
 
 
Unsecured Debt:
 
Debt of Brixmor OP or any of its Subsidiaries which is not secured by a Lien on any property or assets of Brixmor OP or any of its Subsidiaries.
 
 
 
 
 
 
 
 
 
Consolidated EBITDA:
 
For any period means Consolidated Net Income of Brixmor OP and its Subsidiaries for such period, plus amounts which have been deducted and minus
 
 
 
 
 
 
 
amounts which have been added for, without duplication: (i) interest expense on Debt; (ii) provision for taxes based on income; (iii) amortization of debt
 
 
 
 
 
 
 
discount, premium and deferred financing costs; (iv) the income or expense attributable to transactions involving derivative instruments that do not qualify
 
 
 
 
 
 
 
for hedge accounting in accordance with GAAP; (v) impairment losses and gains on sales or other dispositions of properties and other investments;
 
 
 
 
 
 
 
(vi) depreciation and amortization; (vii) net amount of extraordinary items or non-recurring items, as may be determined by us in good faith;
 
 
 
 
 
 
 
(viii) amortization of deferred charges; (ix) gains or losses on early extinguishment of debt; and (x) noncontrolling interests; all determined on a
 
 
 
 
 
 
 
consolidated basis in accordance with GAAP.
 
 
 
 
 
 
 
 
 
Annual Debt Service Charge:
 
For any period, the interest expense of Brixmor OP and its Subsidiaries for such period, determined on a consolidated basis in accordance with GAAP.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Note: For full detailed descriptions of the OP Unsecured Notes Covenant calculations and definitions of capitalized terms please refer to the Prospectus Supplement filed by the OP with the
 
Securities and Exchange Commission on January 15, 2015 and August 3, 2015 and the notes and indenture incorporated therein by reference.
 
 
 
 
 


Supplemental Disclosure - Three Months Ended June 30, 2016
Page 17




UNSECURED CREDIT FACILITY COVENANT DISCLOSURE
Unaudited, dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Covenants
 
As of 6/30/16
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 I. Leverage ratio
 
 < 60%
 
43.5
%
 
 
 
 
 
Total Outstanding Indebtedness
 
 
 
5,969,521

 
 
 
 
 
Balance Sheet Cash
 
 
 
170,596

 
 
 
 
 
Total Asset Value
 
 
 
13,338,419

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
II. Secured leverage ratio
 
< 40%
 
14.1
%
 
 
 
 
 
Total Secured Indebtedness
 
 
 
2,051,068

 
 
 
 
 
Balance Sheet Cash
 
 
170,596

 
 
 
 
 
Total Asset Value
 
 
 
13,338,419

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
III. Unsecured leverage ratio
 
 < 60%
 
44.7
%
 
 
 
 
 
Total Unsecured Indebtedness
 
 
 
3,918,453

 
 
 
 
 
Unrestricted Cash
 
 
 
122,735

 
 
 
 
 
Unencumbered Asset Value
 
 
8,490,694

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
IV. Fixed charge coverage ratio
 
 > 1.5x
 
3.4x

 
 
 
 
 
Total Net Operating Income
 
 
 
930,779

 
 
 
 
 
Capital Expenditure Reserve
 
 
 
13,008

 
 
 
 
 
Fixed Charges
 
 
 
266,227

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Definitions for line of credit covenants:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Total Outstanding Indebtedness:
 
Total Indebtedness including capital leases, financing liabilities, redeemable non-controlling interests, letters of credit, guarantee obligations, and the Company's applicable share of joint venture Indebtedness.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Balance Sheet Cash:
 
 
 
Cash and cash equivalents, Restricted cash, and certain Marketable securities.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Total Asset Value:
 
 
 
 
An amount equal to the sum of the following for the Company and the Company's applicable share of its joint ventures: (i) Net Operating Income from Stabilized Projects for the most recent six months annualized divided by 7.00%, (ii) the amount of Management Fees received by the Company for the most recent six months annualized divided by 7.00%, (iii) Acquisition Assets valued at the higher of their capitalization value (Net Operating Income for the most recent six months annualized divided by 7.00%) or acquisition cost, (iv) undepreciated Book Value of Land, (v) undepreciated Book Value of Assets Under Development, (vi) undepreciated Book Value of Non-Stabilized Projects, (vii) value of Mezzanine Debt Investments, (viii) value of all First Mortgage Receivables. The aggregate contributions to Total Asset Value from items (v), (vi), and (vii) above shall not exceed 35% of Total Asset Value.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Total Secured Indebtedness:
 
 
All indebtedness that is secured by a lien on any asset.
 
 
Total Unsecured Indebtedness:
 
All Indebtedness that is not Secured Indebtedness.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Unrestricted Cash:
 
 
 
 
Cash and cash equivalents, and certain marketable securities but excluding restricted cash.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Unencumbered Asset Value:
 
 
Total Asset Value from Unencumbered Assets.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Unencumbered Assets:
 
 
 
Any acquisition asset, land, operating property and any asset under development located in the Unites States which, as of any date of determination is not subject to any liens, claims, or restrictions on transferability or assignability of any kind other than (i) permitted encumbrances or liens in favor of the administrative agent and (ii) customary restrictions on transferability that result in a change of control or that trigger a right of first offer or right of first refusal.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Total Net Operating Income:
 
 
For the Company and the Company's applicable share of its joint ventures, as determined in accordance with GAAP, an amount equal to (i) the aggregate rental income and other revenues from the operation of all real estate assets, including from straight-lined rent and amortization of above- and below-market leases minus (ii) all expenses and other charges incurred in connection with the operation of such real estate assets but excluding the payment of or provision for debt service charges, income taxes, capital expenses, depreciation, amortization and other non-cash expenses.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Fixed Charges:
 
 
 
 
For any period, the sum of (i) total interest expense, (ii) all scheduled principal payments due on account of total outstanding indebtedness (excluding balloon payments) and (iii) all dividends payable on account of preferred stock or preferred operating partnership units of the borrower or any other person in the consolidated group.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Capital Expenditure Reserve:
 
 
For any Operating Property, an amount equal to (i) $0.15 multiplied by (ii) the number of square feet of such Operating Property.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Note: For full detailed descriptions of the Credit Facility Covenant calculations and definitions of capitalized terms please refer to the Revolving Credit and Term Loan Agreement, dated as of July 16, 2013 filed as Exhibit 10.6 to Amendment No. 1 to Form S-11, filed with the Securities and Exchange Commission on August 23, 2013.
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 18




 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
INVESTMENT SUMMARY
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Supplemental Disclosure
Three Months Ended June 30, 2016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 





ACQUISITIONS
Dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
Property Type (1)
 
MSA
 
Purchase Date
 
Purchase Amount
 
 GLA / Acres
 
Percent Leased
 
 ABR/
SF
 
Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended March 31, 2016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Land adjacent to Western Village
 
L
 
Cincinnati, OH-KY-IN
 
1/15/16
 
$
50

 
 0.13 acres
 
 
 
 
Outparcel at Dickson City Crossings
 
O
 
Scranton--Wilkes-Barre--Hazleton, PA
 
1/15/16
 
1,020

 
 1.8 acres
 
 
 
 
Land at Keith Bridge Commons
 
L
 
Atlanta-Sandy Springs-Roswell, GA
 
1/29/16
 
100

 
 0.32 acres
 
 
 
 
 
 
 
 
 
 
 
 
$
1,170

 
 2.25 acres
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL - THREE MONTHS ENDED 3/31/16
 
 
$
1,170

 
 2.25 acres
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) O - Outparcel, L - Land.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 20




DISPOSITIONS
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
Property Type (1)
 
MSA
 
 
 
Sale
Date
 
Sale
Amount
 
Gain /
(loss)
 
GLA / Acres
 
Percent Leased
 
ABR/
SF
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended June 30, 2016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Congress Crossing
 
S
 
Athens, TN
 
 
 
4/27/16
 
$
11,400

 
$
4,159

 
$
180,305

 
97.6%
 
$
7.00

 
Outparcel building at Plymouth Plaza
 
B
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
 
5/4/16
 
4,375

 
1,926

 
3,800

 
100.0%
 
55.25

 
Apopka Commons
 
S
 
Orlando-Kissimmee-Sanford, FL
 
5/27/16
 
5,475

 
1,697

 
42,507

 
81.3%
 
13.32

 
 
 
 
 
 
 
 
 
 
 
$
21,250

 
$
7,782

 
$
226,612

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL - SIX MONTHS ENDED 6/30/16
 
 
 
$
21,250

 
$
7,782

 
$
226,612

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) B - Building; S - Shopping Center.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 21




ANCHOR SPACE REPOSITIONING SUMMARY
Dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
 
MSA
 
 
 
 
 
 
 
Description
 
 
 
IN PROCESS ANCHOR SPACE REPOSITIONINGS
 
 
 
 
 
 
 
1

Glendale Galleria
 
 
Phoenix-Mesa-Scottsdale, AZ
 
 
 
 
Remerchandise former Smashing Buys with a 37K SF LA Fitness
 
 
2

Ocean View Plaza
 
 
Los Angeles-Long Beach-Anaheim, CA
 
 
Remerchandise former Fitness Elite for Women with a 18K SF Crunch Fitness
 
 
3

Rose Pavilion
 
 
San Francisco-Oakland-Hayward, CA
 
 
Remerchandise former Fresh & Easy with a 13K SF Trader Joe's and 2K SF small shop space
 
 
4

Lompoc Center
 
 
Santa Maria-Santa Barbara, CA
 
 
 
 
Remerchandise and expansion of former Pier One with a 16K SF Harbor Freight Tools
 
 
5

The Shoppes at Southside
 
Jacksonville, FL
 
 
 
 
 
 
Remerchandise former Sports Authority with a 40K SF Restoration Hardware Outlet
 
 
6

Park Shore Plaza (Phase 1)
 
Naples-Immokalee-Marco Island, FL
 
 
 
Remerchandise former Kmart with a 60K SF Burlington Stores, a 19K SF Party City and an additional 16K SF junior anchor and a 5K SF small shop space
 
 
7

Park Shore Plaza (Phase 2)
 
Naples-Immokalee-Marco Island, FL
 
 
 
Remerchandise former YouFit health club with a 27K SF Saks OFF Fifth
 
 
8

Pointe Orlando
 
 
Orlando-Kissimmee-Sanford, FL
 
 
 
 
Remerchandise ten small shop spaces with a 48K SF Main Event
 
 
9

Seminole Plaza
 
 
Tampa-St. Petersburg-Clearwater, FL
 
 
Remerchandise and expand former Deals with a 21K SF Bealls Outlet
 
 
10

Wilmington Island
 
Savannah, GA
 
 
 
 
 
 
 
Reconfigure junior anchor and small shop space to accommodate expansion of existing Kroger to 75K SF prototype store and addition of Kroger fuel center
 
 
11

Jeffersontown Commons
 
Louisville/Jefferson County, KY-IN
 
 
 
Remerchandise former daycare and adjacent anchor vacancy with a 31K SF Savers
 
 
12

Stony Brook I & II
 
 
Louisville/Jefferson County, KY-IN
 
 
 
Reconfigure approximately 15K of small shop space to accommodate expansion of existing Kroger to 116K SF Kroger Marketplace
 
 
13

Points West Plaza
 
Boston-Cambridge-Newton, MA-NH
 
 
Combination of two adjacent small shop vacancies for a 15K SF Citi Trends and remerchandise former Pay/Half with an 11K SF L&M Bargain
 
 
14

Maple Village
 
 
Ann Arbor, MI
 
 
 
 
 
 
Remerchandise former Kmart with a 34K SF Stein Mart, a 22K SF Sierra Trading Post, a 20K SF HomeGoods and a 21K SF junior anchor
 
 
15

Marketplace @ 42
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
 
Remerchandise former Rainbow Foods with a 32K SF Fresh Thyme Farmers Market and a 21K SF Marshalls
 
 
16

County Line Plaza
 
Jackson, MS
 
 
 
 
 
 
 
Remerchandise and expansion of former Office Depot with a 50K SF Burlington Stores and a 25K SF Burke's Outlet
 
 
17

Crossroads Centre
 
St. Louis, MO-IL
 
 
 
 
 
 
Remerchandise former Hobby Lobby with a 23K SF Ruler Foods (Kroger) and a 37K SF Sky Zone
 
 
18

Willow Springs Plaza
 
Manchester-Nashua, NH
 
 
 
 
Remerchandise former Namco Pools with a 33K SF New Hampshire Liquor and Wine Outlet
 
 
19

College Plaza
 
 
New York-Newark-Jersey City, NY-NJ-PA
 
 
Remerchandise former Rite Aid with an 18K SF A.C. Moore
 
 
20

Highridge Plaza
 
 
New York-Newark-Jersey City, NY-NJ-PA
 
 
Remerchandise former A&P with a 42K SF H-Mart grocer
 
 
21

Mamaroneck Centre
 
New York-Newark-Jersey City, NY-NJ-PA
 
 
Remerchandise former A&P with a 12K SF CVS and a 13K SF specialty grocer
 
 
22

Erie Canal Centre
 
 
Syracuse, NY
 
 
 
 
 
 
 
Remerchandise former Kmart with a 50K SF Dick's Sporting Goods, an additional 34K SF junior anchor and a 6K SF outparcel
 
 
23

Ivyridge
 
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
 
Remerchandise former A&P with a 47K SF Target
 
 
24

Island Plaza
 
 
Charleston-North Charleston, SC
 
 
 
 
Relocation and expansion of existing Tuesday Morning to 27K SF and remerchandise former Tuesday Morning with an 6K SF small shop space
 
 
25

Five Points
 
 
Corpus Christi, TX
 
 
 
 
Reconfigure anchor vacancy with a 17K SF Harbor Freight Tools and 7K SF of small shop space
 
 
26

Bardin Place Center
 
Dallas-Fort Worth-Arlington, TX
 
 
 
 
Reconfigure former Sports Authority and adjacent small shop space with an 86K SF WinCo Foods
 
 
27

Preston Ridge
 
 
Dallas-Fort Worth-Arlington, TX
 
 
 
 
Remerchandise and expansion of former Gatti-Town Pizza with a 33K SF Nordstrom Rack, a 29K SF Saks OFF Fifth and a 6K SF J.Crew Mercantile
 
 
28

Northtown Plaza
 
 
Houston-The Woodlands-Sugar Land, TX
 
 
Combination of former Anna's Linens and RadioShack for a 16K SF dd's Discounts (Ross Dress for Less)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Number of Projects
 
Expected Total
Project Costs
 
Costs to Date
 
Expected NOI Yield
 
 
 
 
 
 
Total In Process
28
 
$
115,781
 
 
$
50,766

 
11.3
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
COMPLETED ANCHOR SPACE REPOSITIONINGS - SIX MONTHS ENDED 6/30/16
 
 
1

Gateway Plaza
 
 
Los Angeles-Long Beach-Anaheim, CA
 
 
Remerchandise former CVS with a 15K SF Party City
 
 
2

California Oaks Center
 
Riverside-San Bernardino-Ontario, CA
 
 
Remerchandise former Ralphs with a 19K SF Barons Market
 
 
3

Superior Marketplace
 
Boulder, CO
 
 
 
 
 
 
 
Reconfigure anchor vacancy with a 19K SF Party City and a 11K SF ULTA
 
 
4

Arapahoe Crossings
 
Denver-Aurora-Lakewood, CO
 
 
 
 
Remerchandise former Marshalls and former OfficeMax with a 31K SF Stein Mart and a 24K SF buybuy BABY
 
 
5

Regency Park Shopping Center
 
Jacksonville, FL
 
 
 
 
 
 
Remerchandise anchor vacancy with a 40K SF Ollie's Bargain Outlet
 
 
6

Rivercrest Shopping Center
 
Chicago-Naperville-Elgin, IL-IN-WI
 
 
 
Addition of a 9K SF Five Below in former Kmart, in conjunction with previous remerchandising with Ross Dress for Less and Party City
 
 
7

Tinley Park Plaza
 
 
Chicago-Naperville-Elgin, IL-IN-WI
 
 
 
Remerchandise former Staples with a 23K SF Planet Fitness
 
 
8

Westlane Shopping Center
 
Indianapolis-Carmel-Anderson, IN
 
 
 
 
Remerchandise former Marsh Supermarket with a 17K SF Save-A-Lot and a 12K SF Citi Trends
 
 
9

Delta Center
 
 
Lansing-East Lansing, MI
 
 
 
 
Remerchandise former Party City with expansion of existing Men's Wearhouse to a new 10K SF DXL Destination XL
 
 
10

Clocktower Place
 
 
St. Louis, MO-IL
 
 
 
 
 
 
Relocation and rightsize of existing regional furniture store to 30K SF in former Office Depot and replace with a 16K SF K&G Fashion Superstore
 
 
11

McMullen Creek Market
 
Charlotte-Concord-Gastonia, NC-SC
 
 
Reconfigure 25K SF Staples and adjacent vacant junior anchor with a 45K SF Walmart Neighborhood Market and relocate existing 6K SF Lebo's Footwear to enable rightsizing of Staples to 13K SF
 
 
12

Crown Point
 
 
Columbus, OH
 
 
 
 
 
 
Remerchandise former Lombard's Furniture and adjacent small shop vacancy with a 21K SF Planet Fitness
 
 
13

The Commons at Wolfcreek
 
Memphis, TN-MS-AR
 
 
 
 
Remerchandise former OfficeMax with a 15K SF DSW and a 9K SF Five Below
 
 
14

Preston Park
 
 
Dallas-Fort Worth-Arlington, TX
 
 
 
 
Remerchandise former Minyard Sun Fresh Market with a 53K SF Kroger
 
 
15

Webb Royal Plaza
 
Dallas-Fort Worth-Arlington, TX
 
 
 
 
Remerchandise former grocer with a 35K SF El Rio Grande Latin Market
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Number of Projects
 
Total Costs
 
Expected NOI Yield
 
 
 
 
 
 
 
 
Total Completed
15
 
$
19,949
 
 
13.5
%
 
 
 
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 22




REDEVELOPMENT, OUTPARCEL DEVELOPMENT & NEW DEVELOPMENT SUMMARY
 
 
Dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
REDEVELOPMENTS:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Construction
 
 Expected
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent
 
Stabilization
 
Percent
 
 Total
 
 Costs
 
Expected
 
 
 
Property Name
 
MSA
 
Project Description
 
Leased
 
Quarter
 
Complete
 
 Project Cost
 
 to Date
 
NOI Yield
 
 
IN PROCESS REDEVELOPMENTS
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1

Bay Pointe Plaza
 
Tampa-St. Petersburg-Clearwater, FL
 
Redevelopment of existing Publix with a 54K SF prototype with drive-thru pharmacy and remerchandise vacant endcap with a 9K SF Pet Supermarket, as well as property improvements including the addition of seating areas, façade renovations and LED initiatives
 
96.7
%
 
Dec-16
 
41
%
 
$
7,400

 
$
3,059

 
10.2
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
OUTPARCEL DEVELOPMENTS:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Construction
 
 Expected
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent
 
Stabilization
 
Percent
 
 Total
 
 Costs
 
Expected
 
 
 
Property Name
 
MSA
 
Project Description
 
Leased
 
Quarter
 
Complete
 
 Project Cost
 
 to Date
 
NOI Yield
 
 
IN PROCESS OUTPARCEL DEVELOPMENTS
 
 
 
 
 
 
 
 

 
 
 
 
 
 
1

Puente Hills Town Center
 
Los Angeles-Long Beach-Anaheim, CA
 
Reconfigure former freestanding Barnes & Noble with a 3K SF Habit Burger Grill, a 3K SF Pacific Fish Grill and two additional small shop retailers
 
99.0
%
 
Sep-16
 
80
%
 
$
2,496

 
$
1,984

 
11.4
%
 
 
2

Tinley Park Plaza
 
Chicago-Naperville-Elgin, IL-IN-WI
 
Reconfigure 8K SF space with a 3K SF Blaze Pizza, a 3K SF Noodles & Company and 2K SF of additional retail space
 
72.7
%
 
Sep-16
 
84
%
 
2,858

 
2,388

 
12.8
%
 
 
3

Haymarket Square
 
Des Moines-West Des Moines, IA
 
Construction of a 3K SF Chick-fil-A outparcel
 
82.7
%
 
Sep-16
 
41
%
 
170

 
70

 
58.9
%
 
 
4

Mira Mesa Mall
 
San Diego-Carlsbad, CA
 
Construction of a 3K SF Habit Burger Grill outparcel
 
96.6
%
 
Dec-16
 
25
%
 
1,038

 
259

 
20.7
%
 
 
5

Century Plaza Shopping Center
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
Construction of a 13K SF CVS drive-thru pharmacy outparcel
 
94.1
%
 
Dec-16
 
15
%
 
3,716

 
560

 
12.2
%
 
 
6

Coastal Way - Coastal Landing
 
Tampa-St. Petersburg-Clearwater, FL
 
Construction of a 3K SF Visionworks and 3K SF for two additional small shop retailers outparcel
 
97.4
%
 
Dec-16
 
57
%
 
2,273

 
1,300

 
10.5
%
 
 
7

Warren Plaza
 
Dubuque, IA
 
Construction of a 5K SF Chick-fil-A outparcel
 
88.2
%
 
Dec-16
 
92
%
 
65

 
60

 
39.1
%
 
 
8

Galleria Commons
 
Las Vegas-Henderson-Paradise, NV
 
Construction of a 3K SF Corner Bakery Café outparcel
 
100.0
%
 
Dec-16
 
18
%
 
701

 
125

 
19.5
%
 
 
9

Florence Plaza - Florence Square
 
Cincinnati, OH-KY-IN
 
Construction of a 4K SF First Watch daytime-only restaurant outparcel
 
98.7
%
 
Dec-16
 
81
%
 
1,994

 
1,614

 
12.3
%
 
 
10

Pilgrim Gardens
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
Construction of a 2K SF Moe's Southwest Grill outparcel
 
100.0
%
 
Dec-16
 
20
%
 
379

 
76

 
25.5
%
 
 
11

The Commons at Wolfcreek
 
Memphis, TN-MS-AR
 
Construction of a 5K SF AT&T and 6K SF for three additional small shop retailers outparcel
 
93.3
%
 
Dec-16
 
61
%
 
2,762

 
1,694

 
12.9
%
 
 
12

Briggsmore Plaza
 
Modesto, CA
 
Construction of a 3K SF Taco Bell outparcel
 
100.0
%
 
Mar-17
 
19
%
 
644

 
122

 
15.0
%
 
 
13

College Plaza
 
New York-Newark-Jersey City, NY-NJ-PA
 
Construction of a 4K SF Panera Bread outparcel with drive-thru
 
96.7
%
 
Mar-17
 
74
%
 
921

 
679

 
20.3
%
 
 
14

Miracle Mile Shopping Plaza
 
Toledo, OH
 
Construction of a 7K SF DaVita Dialysis outparcel
 
79.3
%
 
Mar-17
 
6
%
 
1,277

 
78

 
9.0
%
 
 
15

The Centre at Navarro
 
Victoria, TX
 
Construction of an 18K SF Aldi outparcel
 
96.2
%
 
Mar-17
 
30
%
 
361

 
109

 
38.8
%
 
 
 
TOTAL IN PROCESS OUTPARCEL DEVELOPMENT ACTIVITIES / WEIGHTED AVERAGE
 
 
 
 
 
 
 
$
21,655

 
$
11,118

 
14.1
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Construction
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent
 
Stabilization
 
 
 
 
 
 Total
 
Expected
 
 
 
Property Name
 
MSA
 
Project Description
 
Leased
 
Quarter
 
 
 
 
 
 Costs
 
NOI Yield
 
 
COMPLETED OUTPARCEL DEVELOPMENTS - SIX MONTHS ENDED 6/30/16
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1

Arbor - Broadway Faire
 
Fresno, CA
 
Reconfigure former outparcel building for a 6K SF Buffalo Wild Wings
 
98.3
%
 
Mar-16
 
 
 
 
 
275

 
61.8
%
 
 
2

Westgate
 
Dublin, GA
 
Construction of a 2K SF Dunkin' Donuts / Baskin-Robbins outparcel
 
94.0
%
 
Mar-16
 
 
 
 
 
326

 
16.3
%
 
 
3

Wadsworth Crossings
 
Cleveland-Elyria, OH
 
Construction of a 4K SF Mattress Firm outparcel
 
95.1
%
 
Mar-16
 
 
 
 
 
1,623

 
11.8
%
 
 
4

Wynnewood Village
 
Dallas-Fort Worth-Arlington, TX
 
Construction of a 3K SF Popeyes Louisiana Kitchen outparcel
 
87.2
%
 
Mar-16
 
 
 
 
 
553

 
15.8
%
 
 
 
TOTAL COMPLETED OUTPARCEL DEVELOPMENT ACTIVITIES / WEIGHTED AVERAGE
 
 
 
 
 
 
 
 
 
$
2,777

 
18.1
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
NEW DEVELOPMENTS:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Construction
 
 Expected
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent
 
Stabilization
 
Percent
 
 Total
 
 Costs
 
Expected
 
 
 
Property Name
 
MSA
 
Project Description
 
Leased
 
Quarter
 
Complete
 
 Project Cost
 
 to Date
 
NOI Yield
 
 
IN PROCESS NEW DEVELOPMENTS
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1

The Shops at Riverhead
 
New York-Newark-Jersey City, NY-NJ-PA
 
Construction of a 42K SF Marshalls / HomeGoods combo store and additional junior anchor spaces adjacent to an existing non-owned Costco
 

 
Dec-17
 
21%

 
 $ 19,229

 
 $ 3,963

 
11.1
%

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 23




 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
PORTFOLIO SUMMARY
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Supplemental Disclosure
Three Months Ended June 30, 2016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Joint venture, Montecito Marketplace is included at 100%
 





PORTFOLIO OVERVIEW
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands, except ABR per square foot
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
As of:
 
 
 
 
 
 
 
 
 
6/30/16
 
3/31/16
 
12/31/15
 
9/30/15
 
6/30/15
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Number of properties
 
 
516

 
518

 
518

 
519

 
519

 
 
 
 
 
GLA
 
 
86,446,148

 
86,669,873

 
86,615,572

 
86,696,827

 
86,602,682

 
 
 
 
 
Percent billed
 
 
90.6
%
 
90.4
%
 
91.0
%
 
90.9
%
 
90.3
%
 
 
 
 
 
Percent leased
 
 
92.8
%
 
92.4
%
 
92.6
%
 
92.6
%
 
92.5
%
 
 
 
 
 
 
TOTAL ≥ 10,000 SF
 
 
96.4
%
 
95.9
%
 
96.2
%
 
96.2
%
 
96.2
%
 
 
 
 
 
 
TOTAL < 10,000 SF
 
 
84.2
%
 
83.9
%
 
84.3
%
 
84.0
%
 
83.6
%
 
 
 
 
 
ABR
 
 
 
$
952,653

 
$
951,163

 
$
945,667

 
$
939,293

 
$
929,957

 
 
 
 
 
ABR/SF
 
 
$
12.85

 
$
12.85

 
$
12.76

 
$
12.68

 
$
12.31

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
PORTFOLIO BY UNIT SIZE AS OF 6/30/16
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Number of
Units
 
GLA
 
Percent Billed
 
Percent Leased
 
Percent of Vacant GLA
 
 ABR
 
ABR/SF
 
 
 
 
≥ 35,000 SF
579

 
35,914,152

 
96.9
%
 
98.2
%
 
10.4
%
 
$
278,751

 
$
9.22

 
 
 
 
20,000 – 34,999 SF
555

 
14,607,312

 
92.9
%
 
96.0
%
 
9.4
%
 
136,108

 
9.83

 
 
 
 
10,000 - 19,999 SF
                  754

 
      10,292,945

 
87.7
%
 
90.6
%
 
15.4%

 
116,730

 
12.82

 
 
 
 
5,000 - 9,999 SF
1,374

 
9,449,169

 
83.3
%
 
85.8
%
 
21.5
%
 
126,773

 
16.27

 
 
 
 
< 5,000 SF
8,421

 
16,182,570

 
80.3
%
 
83.3
%
 
43.3
%
 
294,291

 
22.43

 
 
 
 
TOTAL
11,683

 
86,446,148

 
90.6
%
 
92.8
%
 
100.0
%
 
$
952,653

 
$
12.85

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL ≥ 10,000 SF
1,888

 
60,814,409

 
94.4
%
 
96.4
%
 
35.2
%
 
$
531,589

 
$
9.99

 
 
 
 
TOTAL < 10,000 SF
9,795

 
25,631,739

 
81.4
%
 
84.2
%
 
64.8
%
 
421,064

 
20.13

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 25




TOP FORTY RETAILERS RANKED BY ABR
Dollars in thousands
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Retailer
 
 
 
Owned Leases
 
Leased GLA
 
Percent of Total
Portfolio GLA
 
Leased ABR
 
Percent of Portfolio Leased ABR
 
 
 
1
The Kroger Co. (1)
 
 
 
70

 
4,564,148

 
5.3
%
 
$
31,716

 
3.3
%
 
 
 
2
The TJX Companies, Inc. (2)
 
 
93

 
2,892,324

 
3.3
%
 
30,173

 
3.2
%
 
 
 
3
Dollar Tree Stores, Inc. (3)
 
 
 
166

 
1,855,179

 
2.1
%
 
18,501

 
1.9
%
 
 
 
4
Wal-Mart Stores, Inc. (4)
 
 
 
29

 
3,548,000

 
4.1
%
 
16,904

 
1.8
%
 
 
 
5
Publix Super Markets, Inc.
 
 
 
39

 
1,802,591

 
2.1
%
 
16,681

 
1.8
%
 
 
 
6
Ahold USA, Inc. (5)
 
 
 
21

 
1,271,725

 
1.5
%
 
14,013

 
1.5
%
 
 
 
7
Albertsons Companies, Inc. (6)
 
 
23

 
1,294,287

 
1.5
%
 
13,804

 
1.4
%
 
 
 
8
Burlington Stores, Inc.
 
 
 
19

 
1,405,122

 
1.6
%
 
10,776

 
1.1
%
 
 
 
9
Bed Bath & Beyond Inc. (7)
 
 
 
31

 
761,216

 
0.9
%
 
9,544

 
1.0
%
 
 
 
10
Ross Stores, Inc. (8)
 
 
 
31

 
860,356

 
1.0
%
 
9,366

 
1.0
%
 
 
 
 
TOP 10 RETAILERS
 
 
 
522

 
20,254,948

 
23.4
%
 
171,478

 
18.0
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
PetSmart, Inc.
 
 
 
30

 
652,714

 
0.8
%
 
9,360

 
1.0
%
 
 
 
12
Big Lots, Inc.
 
 
 
46

 
1,527,517

 
1.8
%
 
9,360

 
1.0
%
 
 
 
13
Best Buy Co., Inc.
 
 
 
16

 
660,392

 
0.8
%
 
8,967

 
0.9
%
 
 
 
14
Office Depot, Inc. (9)
 
 
 
35

 
787,551

 
0.9
%
 
8,504

 
0.9
%
 
 
 
15
Sears Holdings Corporation (10)
 
 
21

 
1,946,332

 
2.3
%
 
8,477

 
0.9
%
 
 
 
16
PETCO Animal Supplies, Inc. (11)
 
 
37

 
492,435

 
0.6
%
 
7,805

 
0.8
%
 
 
 
17
Kohl's Corporation
 
 
 
12

 
1,002,715

 
1.2
%
 
7,335

 
0.8
%
 
 
 
18
Party City Corporation
 
 
 
34

 
492,998

 
0.6
%
 
7,199

 
0.8
%
 
 
 
19
DICK'S Sporting Goods, Inc. (12)
 
 
13

 
542,121

 
0.6
%
 
6,962

 
0.7
%
 
 
 
20
Staples, Inc.
 
 
 
28

 
586,564

 
0.7
%
 
6,939

 
0.7
%
 
 
 
 
TOP 20 RETAILERS
 
 
 
794

 
28,946,287

 
33.7
%
 
252,386

 
26.5
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
L.A. Fitness International, LLC
 
 
10

 
426,988

 
0.5
%
 
6,454

 
0.7
%
 
 
 
22
Ascena Retail Group, Inc. (13)
 
 
55

 
334,901

 
0.4
%
 
6,321

 
0.7
%
 
 
 
23
Hobby Lobby Stores, Inc.
 
 
 
16

 
978,619

 
1.1
%
 
6,296

 
0.7
%
 
 
 
24
Mattress Firm, Inc. (14)
 
 
 
49

 
284,387

 
0.3
%
 
6,286

 
0.7
%
 
 
 
25
The Home Depot, Inc.
 
 
 
8

 
799,388

 
0.9
%
 
5,755

 
0.6
%
 
 
 
26
Michaels Stores, Inc.
 
 
 
24

 
529,205

 
0.6
%
 
5,623

 
0.6
%
 
 
 
27
Giant Eagle, Inc.
 
 
 
7

 
555,560

 
0.6
%
 
5,591

 
0.6
%
 
 
 
28
Southeastern Grocers (15)
 
 
 
15

 
706,283

 
0.8
%
 
5,380

 
0.6
%
 
 
 
29
H.E. Butt Grocery Company (16)
 
 
7

 
419,204

 
0.5
%
 
5,262

 
0.6
%
 
 
 
30
CVS Health
 
 
 
23

 
309,120

 
0.4
%
 
5,016

 
0.5
%
 
 
 
31
Walgreen Co.
 
 
 
20

 
289,244

 
0.3
%
 
4,810

 
0.5
%
 
 
 
32
ULTA Beauty
 
 
 
18

 
207,758

 
0.2
%
 
4,319

 
0.5
%
 
 
 
33
Payless ShoeSource
 
 
 
67

 
206,247

 
0.2
%
 
4,210

 
0.4
%
 
 
 
34
Gap, Inc. (17)
 
 
 
16

 
257,085

 
0.3
%
 
4,199

 
0.4
%
 
 
 
35
Sally Beauty Holdings, Inc.
 
 
 
115

 
193,775

 
0.2
%
 
4,195

 
0.4
%
 
 
 
36
Beall's, Inc. (18)
 
 
 
26

 
592,716

 
0.7
%
 
4,172

 
0.4
%
 
 
 
37
Jo-Ann Stores, Inc.
 
 
 
22

 
422,528

 
0.5
%
 
4,107

 
0.4
%
 
 
 
38
Stein Mart, Inc.
 
 
 
13

 
459,393

 
0.5
%
 
4,003

 
0.4
%
 
 
 
39
Barnes & Noble, Inc.
 
 
 
10

 
224,673

 
0.3
%
 
3,983

 
0.4
%
 
 
 
40
Toys"R"Us, Inc. (19)
 
 
 
11

 
410,868

 
0.5
%
 
3,918

 
0.4
%
 
 
 
 
TOTAL TOP 40 RETAILERS
 
 
1,326

 
37,554,229

 
43.5
%
 
$
352,286

 
37.0
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Includes Kroger (55), Harris Teeter (3), King Soopers (3), Ralphs (2), Smith's (2),
(7) Includes Bed Bath & Beyond (17), Harmon Face Values (6), Christmas Tree Shops (4),
(16) Includes H-E-B (6) and Central Market (1).
Pick ' N Save (2), Dillons (1), Food 4 Less (1) and Pay Less (1).
 
 
 
Cost Plus World Market (2) and buybuy BABY (2).
 
 
(17) Includes Old Navy (12), GAP Factory (2), GAP (1) and Banana
(2) Includes T.J. Maxx (48), Marshalls (35), HomeGoods (9) and Sierra Trading Post (1).
(8) Includes Ross Dress for Less (29) and dd's Discounts (2).
 
Republic Factory (1).
Excludes Marshalls / HomeGoods at development property.
 
 
 
(9) Includes Office Depot (19) and OfficeMax (16).
 
 
(18) Includes Beall's Outlet (13), Burke's Outlet (9), Burke's (2),
(3) Includes Dollar Tree (129), Family Dollar (35), Deals (1) and Dollar Stop (1).
(10) Includes Kmart (18), Sears (2) and Sears Outlet (1).
 
 
and Beall's Department Store (2).
(4) Includes Supercenters (14), Discount Stores (9), Walmart Neighborhood
(11) Includes PETCO (36) and Unleashed (1).
 
 
 
(19) Includes Babies"R"Us (7) and Toys"R"Us (4).
Market (5) and Sam's Club (1).
(12) Includes DICK'S Sporting Goods (10) and Golf Galaxy (3).
 
 
 
(5) Includes Giant Food (9), Super Stop & Shop (7), Martin's Food Markets (2),
(13) Includes dressbarn (22), Catherines (11), Lane Bryant (8), Justice (7), maurices (6)
 
ShopRite (1), Stop & Shop (1) and Tops (1).
 
 
 
 
and Ann Taylor (1).
 
 
 
 
 
 
 
(6) Includes Vons (4), Albertsons (3), Acme (3), Randalls (3), Tom Thumb (2), Dominick's (2),
(14) Includes Sleepy's (27) and Mattress Firm (22).
 
 
 
 
Shaw's (2), Jewel-Osco (1), Shop & Save Market (1), Star Market (1) and $.99 Only Store (1).
(15) Includes Winn-Dixie (9), BI-LO (3) and Harveys (3).
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 26




NEW & RENEWAL LEASE SUMMARY
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Tenant Improvements PSF (1)
 
Third Party Leasing Commissions PSF
 
Weighted Average Lease Term (years)
 
Comparable Only
 
 
 
 
 
 
Leases
 
GLA
 
New ABR
 
New ABR/SF
 
 
 
 
Leases
 
GLA
 
New ABR/SF
 
Old ABR/SF
 
Rent
Spread
 
 
 
 
TOTAL - NEW, RENEWAL & OPTION
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three months ended 6/30/16
 
554

 
3,589,288

 
$
47,278

 
$
13.17

 
$
5.02

 
$
1.00

 
6.2

 
435

 
3,089,607

 
$
13.06

 
$
11.65

 
12.1
%
 
 
 
 
Three months ended 3/31/16
 
497

 
3,571,385

 
47,678

 
13.35

 
5.24

 
0.65

 
5.9

 
396

 
3,125,180

 
13.17

 
11.88

 
10.9
%
 
 
 
 
Three months ended 12/31/15
 
554

 
3,882,618

 
47,801

 
12.31

 
6.98

 
0.65

 
5.4

 
457

 
3,523,206

 
12.08

 
10.52

 
14.8
%
 
 
 
 
Three months ended 9/30/15
 
474

 
3,333,715

 
42,937

 
12.88

 
5.82

 
0.76

 
6.0

 
401

 
3,037,387

 
12.49

 
10.84

 
15.2
%
 
 
 
 
TOTAL - TTM
 
2,079

 
14,377,006

 
$
185,694

 
$
12.92

 
$
5.79

 
$
0.76

 
5.9

 
1,689

 
12,775,380

 
$
12.68

 
$
11.20

 
13.2
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
NEW & RENEWAL ONLY
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three months ended 6/30/16
 
467

 
2,066,939

 
$
32,408

 
$
15.68

 
$
8.73

 
$
1.74

 
7.1

 
348

 
1,567,258

 
$
16.25

 
$
14.06

 
15.6
%
 
 
 
 
Three months ended 3/31/16
 
402

 
1,780,225

 
28,131

 
15.80

 
10.52

 
1.31

 
7.1

 
301

 
1,334,020

 
16.21

 
13.94

 
16.3
%
 
 
 
 
Three months ended 12/31/15
 
465

 
2,459,283

 
35,472

 
14.42

 
10.99

 
1.03

 
5.7

 
368

 
2,099,871

 
14.40

 
12.16

 
18.4
%
 
 
 
 
Three months ended 9/30/15
 
377

 
1,711,907

 
26,731

 
15.61

 
11.34

 
1.48

 
6.9

 
304

 
1,415,579

 
15.35

 
12.56

 
22.2
%
 
 
 
 
TOTAL - TTM
 
1,711

 
8,018,354

 
$
122,742

 
$
15.31

 
$
10.38

 
$
1.37

 
6.6

 
1,321

 
6,416,728

 
$
15.44

 
$
13.08

 
18.0
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
NEW LEASES
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three months ended 6/30/16
 
209

 
893,212

 
$
14,079

 
$
15.76

 
$
19.52

 
$
3.86

 
8.9

 
90

 
393,531

 
$
18.16

 
$
14.56

 
24.7
%
 
 
 
 
Three months ended 3/31/16
 
169

 
852,315

 
12,687

 
14.89

 
21.46

 
2.58

 
9.2

 
68

 
406,110

 
15.22

 
11.28

 
34.9
%
 
 
 
 
Three months ended 12/31/15
 
163

 
759,377

 
12,054

 
15.87

 
25.44

 
3.27

 
8.5

 
66

 
399,965

 
17.03

 
13.11

 
29.9
%
 
 
 
 
Three months ended 9/30/15
 
126

 
600,829

 
9,821

 
16.35

 
24.71

 
4.14

 
8.5

 
53

 
304,501

 
15.81

 
10.61

 
49.0
%
 
 
 
 
TOTAL - TTM
 
667

 
3,105,733

 
$
48,641

 
$
15.66

 
$
22.50

 
$
3.42

 
8.8

 
277

 
1,504,107

 
$
16.59

 
$
12.49

 
32.8
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
RENEWAL LEASES
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three months ended 6/30/16
 
258

 
1,173,727

 
$
18,329

 
$
15.62

 
$
0.51

 
$
0.13

 
5.8

 
258

 
1,173,727

 
 $ 15.62

 
 $ 13.89

 
12.5%

 
 
 
 
Three months ended 3/31/16
 
233

 
927,910

 
15,444

 
16.64

 
0.46

 
0.14

 
                      5.1

 
233

 
927,910

 
                 16.64

 
15.11

 
10.1
%
 
 
 
 
Three months ended 12/31/15
 
302

 
1,699,906

 
23,418

 
13.78

 
4.54

 
0.03

 
4.5

 
302

 
1,699,906

 
13.78

 
11.93

 
15.5
%
 
 
 
 
Three months ended 9/30/15
 
251

 
1,111,078

 
16,910

 
15.22

 
4.11

 
0.04

 
6.0

 
251

 
1,111,078

 
15.22

 
13.09

 
16.3
%
 
 
 
 
TOTAL - TTM
 
1,044

 
4,912,621

 
$
74,101

 
$
15.08

 
$
2.71

 
$
0.08

 
5.2

 
1,044

 
4,912,621

 
$
15.08

 
$
13.26

 
13.7
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
OPTION LEASES
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three months ended 6/30/16
 
87

 
1,522,349

 
$
14,870

 
$
9.77

 
$

 
$

 
5.0

 
87

 
1,522,349

 
$
9.77

 
$
9.18

 
6.4
%
 
 
 
 
Three months ended 3/31/16
 
95

 
1,791,160

 
19,547

 
10.91

 

 

 
4.7

 
95

 
1,791,160

 
10.91

 
10.34

 
5.5
%
 
 
 
 
Three months ended 12/31/15
 
89

 
1,423,335

 
12,329

 
8.66

 
0.04

 

 
4.9

 
89

 
1,423,335

 
8.66

 
8.10

 
6.9
%
 
 
 
 
Three months ended 9/30/15
 
97

 
1,621,808

 
16,206

 
9.99

 

 

 
5.0

 
97

 
1,621,808

 
9.99

 
9.35

 
6.8
%
 
 
 
 
TOTAL - TTM
 
368

 
6,358,652

 
$
62,952

 
$
9.90

 
$
0.01

 
$

 
4.9

 
368

 
6,358,652

 
$
9.90

 
$
9.31

 
6.3
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
LEASES BY ANCHOR AND SMALL SHOP - THREE MONTHS ENDED 6/30/16
 
 
 
 
 
 
COMPARABLE RENT SPREAD BY TENANT SIZE (Total - New, Renewal & Option)
 
 
 
 
 
 
 
 
% of Leases
 
% of GLA
 
% of ABR
 
New ABR/SF
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Anchor Leases (≥ 10,000 SF)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Three Months Ended
 
 
 
 
Total - New, Renewal & Option
14
%
 
66
%
 
49
%
 
$
9.83

 
 
 
 
 
 
 
 
 
6/30/16
 
3/31/16
 
12/31/15
 
9/30/15
 
 
 
 
New & Renewal Only
 
9
%
 
49
%
 
35
%
 
11.34

 
 
 
 
 
≥ 35,000 SF
 
 
 
3.7%

 
5.9%

 
12.7%

 
15.5%

 
 
 
 
New Leases
 
10
%
 
46
%
 
38
%
 
12.97

 
 
 
 
 
20,000 – 34,999 SF
 
9.2%

 
11.7%

 
8.5%

 
17.0%

 
 
 
 
Renewal Leases
 
9
%
 
51
%
 
34
%
 
10.24

 
 
 
 
 
10,000 - 19,999 SF
 
24.9%

 
14.6%

 
17.9%

 
13.0%

 
 
 
 
Option Leases
 
40
%
 
89
%
 
80
%
 
8.71

 
 
 
 
 
5,000 - 9,999 SF
 
 
20.4%

 
15.8%

 
16.5%

 
13.1%

 
 
 
Small Shop Leases (< 10,000 SF)
 
 
 
 
 
 
 
 
 
 
 
< 5,000 SF
 
 
 
12.5%

 
12.3%

 
16.5%

 
15.2%

 
 
 
 
Total - New, Renewal & Option
86
%
 
34
%
 
51
%
 
$
19.66

 
 
 
 
 
TOTAL
 
 
 
12.1%

 
10.9%

 
14.8%

 
15.2%

 
 
 
 
New & Renewal Only
 
91
%
 
51
%
 
65
%
 
19.83

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
New Leases
 
90
%
 
54
%
 
62
%
 
18.12

 
 
 
 
 
TOTAL ≥ 10,000 SF
 
10.1%

 
8.9%

 
13.2%

 
15.7%

 
 
 
 
Renewal Leases
 
91
%
 
49
%
 
66
%
 
21.27

 
 
 
 
 
TOTAL < 10,000 SF
 
14.2%

 
13.2%

 
16.5%

 
14.6%

 
 
 
 
Option Leases
 
60
%
 
11
%
 
20
%
 
18.58

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Includes development properties. Excludes leases executed for less than one year.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Excludes landlord work.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


Supplemental Disclosure - Three Months Ended June 30, 2016
Page 27




NEW LEASE NET EFFECTIVE RENT
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Twelve Months Ended
 
Three Months Ended
 
 
 
 
 
6/30/16
 
6/30/16
 
3/31/16
 
12/31/15
 
9/30/15
 
 
NEW LEASES
 
 
 
 
 
 
 
 
 
 
 
 
Weighted average over lease term:
 
 
 
 
 
 
 
 
 
 
 
 
 
Base rent
 
$
16.73

 
$
16.90

 
$
15.63

 
$
17.24

 
$
17.42

 
 
 
TI/TA allowance
 
(2.57
)
 
(2.29
)
 
(2.39
)
 
(2.90
)
 
(2.83
)
 
 
 
Tenant specific landlord work
 
(0.24
)
 
(0.25
)
 
(0.20
)
 
(0.26
)
 
(0.26
)
 
 
 
Third party leasing commissions
 
(0.38
)
 
(0.40
)
 
(0.30
)
 
(0.38
)
 
(0.46
)
 
 
 
Rent concessions
 

 

 

 

 

 
 
EQUIVALENT NET EFFECTIVE RENT
 
$
13.54

 
$
13.96

 
$
12.74

 
$
13.70

 
$
13.87

 
 
Net effective rent / base rent
 
81
%
 
83
%
 
82
%
 
79
%
 
80
%
 
 
Weighted average term (years)
 
8.8

 
8.9

 
9.2

 
8.5

 
8.5

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
PERCENT OF TOTAL EQUIVALENT NET EFFECTIVE RENT BY ANCHOR AND SMALL SHOP
 
 
 
 
 
 
 
≥ 10,000 SF
 
37
%
 
36
%
 
38
%
 
39
%
 
36
%
 
 
 
< 10,000 SF
 
63
%
 
64
%
 
62
%
 
61
%
 
64
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Includes development properties.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


Supplemental Disclosure - Three Months Ended June 30, 2016
Page 28




LEASE EXPIRATION SCHEDULE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL PORTFOLIO
 
SPACES > 10,000 SF
 
SPACES < 10,000 SF
 
 
 
 
 
 
Number of
 
 
 
Percent of
 
 
 
Percent
 
Number of
 
 
 
Percent of
 
 
 
Percent
 
Number of
 
 
 
Percent of
 
 
 
Percent
 
 
 
 
 
 
Leases
 
Leased GLA
 
Leased GLA
 
ABR / SF
 
of ABR
 
Leases
 
Leased GLA
 
Leased GLA
 
ABR / SF
 
of ABR
 
Leases
 
Leased GLA
 
Leased GLA
 
ABR / SF
 
of ABR
 
 
 
ASSUMES NO EXERCISE OF RENEWAL OPTIONS AND NO BASE RENT ESCALATIONS OVER LEASE TERM
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Month to Month
415

 
1,003,133

 
1.3
%
 
$
13.84

 
1.5
%
 
13

 
224,500

 
0.4
%
 
$
10.94

 
0.5
%
 
402

 
778,633

 
3.6
%
 
$
14.67

 
2.7
%
 
 
 
 
2016
 
826

 
3,257,649

 
4.1
%
 
12.84

 
4.4
%
 
60

 
1,753,107

 
3.0
%
 
8.84

 
2.9
%
 
766

 
1,504,542

 
7.0
%
 
17.49

 
6.3
%
 
 
 
 
2017
 
1,730

 
10,062,701

 
12.5
%
 
11.82

 
12.5
%
 
210

 
6,516,278

 
11.1
%
 
7.94

 
9.7
%
 
1,520

 
3,546,423

 
16.4
%
 
18.94

 
16.0
%
 
 
 
 
2018
 
1,684

 
10,196,314

 
12.7
%
 
12.54

 
13.4
%
 
219

 
6,694,470

 
11.4
%
 
9.09

 
11.5
%
 
1,465

 
3,501,844

 
16.2
%
 
19.13

 
15.9
%
 
 
 
 
2019
 
1,434

 
10,628,069

 
13.3
%
 
11.66

 
13.0
%
 
221

 
7,390,298

 
12.6
%
 
8.56

 
11.9
%
 
1,213

 
3,237,771

 
15.0
%
 
18.75

 
14.4
%
 
 
 
 
2020
 
1,251

 
11,003,866

 
13.7
%
 
11.31

 
13.1
%
 
241

 
8,356,724

 
14.3
%
 
8.53

 
13.4
%
 
1,010

 
2,647,142

 
12.3
%
 
20.11

 
12.6
%
 
 
 
 
2021
 
958

 
9,466,075

 
11.8
%
 
11.24

 
11.2
%
 
212

 
7,288,198

 
12.4
%
 
8.81

 
12.1
%
 
746

 
2,177,877

 
10.1
%
 
19.38

 
10.0
%
 
 
 
 
2022
 
355

 
4,795,035

 
6.0
%
 
11.20

 
5.6
%
 
117

 
3,945,819

 
6.7
%
 
9.09

 
6.7
%
 
238

 
849,216

 
3.9
%
 
21.03

 
4.2
%
 
 
 
 
2023
 
301

 
3,831,934

 
4.8
%
 
10.36

 
4.2
%
 
96

 
3,063,860

 
5.2
%
 
8.11

 
4.7
%
 
205

 
768,074

 
3.6
%
 
19.36

 
3.5
%
 
 
 
 
2024
 
308

 
3,424,587

 
4.3
%
 
12.66

 
4.6
%
 
94

 
2,683,566

 
4.6
%
 
10.22

 
5.2
%
 
214

 
741,021

 
3.4
%
 
21.50

 
3.8
%
 
 
 
 
2025+
 
821

 
12,533,208

 
15.6
%
 
12.64

 
16.6
%
 
297

 
10,697,563

 
18.3
%
 
10.67

 
21.5
%
 
524

 
1,835,645

 
8.5
%
 
24.16

 
10.5
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ASSUMES EXERCISE OF ALL RENEWAL OPTIONS AND ANY BASE RENT ESCALATIONS OVER LEASE TERM (1)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Month to Month
415

 
1,003,133

 
1.3
%
 
$
13.84

 
1.1
%
 
13

 
224,500

 
0.4
%
 
$
10.94

 
0.3
%
 
402

 
778,633

 
3.6
%
 
$
14.67

 
2.4
%
 
 
 
 
2016
 
660

 
1,676,374

 
2.1
%
 
14.60

 
2.0
%
 
27

 
553,852

 
0.9
%
 
8.83

 
0.6
%
 
633

 
1,122,522

 
5.2
%
 
17.46

 
4.2
%
 
 
 
 
2017
 
1,173

 
3,780,873

 
4.7
%
 
13.90

 
4.3
%
 
60

 
1,439,126

 
2.5
%
 
7.12

 
1.3
%
 
1,113

 
2,341,747

 
10.8
%
 
18.06

 
9.0
%
 
 
 
 
2018
 
1,040

 
2,955,337

 
3.7
%
 
16.01

 
3.8
%
 
52

 
1,055,525

 
1.8
%
 
10.32

 
1.4
%
 
988

 
1,899,812

 
8.8
%
 
19.18

 
7.8
%
 
 
 
 
2019
 
847

 
3,005,989

 
3.7
%
 
14.70

 
3.6
%
 
49

 
1,155,053

 
2.0
%
 
8.73

 
1.3
%
 
798

 
1,850,936

 
8.6
%
 
18.42

 
7.3
%
 
 
 
 
2020
 
762

 
2,980,837

 
3.7
%
 
15.12

 
3.7
%
 
48

 
1,318,634

 
2.2
%
 
8.77

 
1.5
%
 
714

 
1,662,203

 
7.7
%
 
20.16

 
7.1
%
 
 
 
 
2021
 
630

 
2,317,208

 
2.9
%
 
16.10

 
3.0
%
 
42

 
826,382

 
1.4
%
 
10.44

 
1.1
%
 
588

 
1,490,826

 
6.9
%
 
19.24

 
6.1
%
 
 
 
 
2022
 
411

 
1,845,007

 
2.3
%
 
16.84

 
2.5
%
 
39

 
782,970

 
1.3
%
 
10.15

 
1.0
%
 
372

 
1,062,037

 
4.9
%
 
21.76

 
4.9
%
 
 
 
 
2023
 
441

 
2,362,087

 
2.9
%
 
15.14

 
2.9
%
 
50

 
1,161,637

 
2.0
%
 
9.18

 
1.4
%
 
391

 
1,200,450

 
5.6
%
 
20.92

 
5.4
%
 
 
 
 
2024
 
417

 
2,580,328

 
3.2
%
 
13.61

 
2.8
%
 
52

 
1,539,812

 
2.6
%
 
8.24

 
1.7
%
 
365

 
1,040,516

 
4.8
%
 
21.56

 
4.8
%
 
 
 
 
2025+
 
3,287

 
55,695,398

 
69.4
%
 
15.56

 
70.3
%
 
1,348

 
48,556,892

 
82.8
%
 
13.88

 
88.2
%
 
1,939

 
7,138,506

 
33.1
%
 
26.96

 
41.0
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
LEASE RETENTION RATE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
By Count
 
By GLA
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Twelve Months Ended 6/30/16
 
 
79.4%
 
84.1%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) ABR for leases whose future option rent is based on fair market value or CPI is reported as the ABR for the last year of the current lease term.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ABR/SF includes the GLA of lessee owned leasehold improvements.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 29




PROPERTIES BY LARGEST US MSAs
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent of
 
 
 
 
 
 
 
 
 
 
 
Number of
 
 
 
Percent
 
Percent
 
 
 
 
 
Number of
 
Percent
 
Percent
 
 
 
Largest US MSAs by 2014 Population
 
 
 
Properties
 
 GLA
 
Billed
 
Leased
 
 ABR
 
 ABR / SF
 
Properties
 
of GLA
 
of ABR
 
 
1

New York-Newark-Jersey City, NY-NJ-PA
 
 
 
30

 
3,634,295

 
87.7
%
 
91.5
%
 
$
64,111

 
$
20.28

 
5.8
%
 
4.2
%
 
6.7
%
 
 
2

Los Angeles-Long Beach-Anaheim, CA
 
 
 
9

 
1,685,034

 
97.9
%
 
98.7
%
 
28,979

 
19.17

 
1.7
%
 
1.9
%
 
3.0
%
 
 
3

Chicago-Naperville-Elgin, IL-IN-WI
 
 
 
16

 
4,019,526

 
90.3
%
 
91.2
%
 
45,016

 
13.53

 
3.1
%
 
4.6
%
 
4.7
%
 
 
4

Dallas-Fort Worth-Arlington, TX
 
 
 
16

 
3,089,841

 
89.9
%
 
93.6
%
 
42,997

 
15.07

 
3.1
%
 
3.6
%
 
4.5
%
 
 
5

Houston-The Woodlands-Sugar Land, TX
 
 
 
37

 
4,603,116

 
90.4
%
 
92.0
%
 
47,095

 
11.59

 
7.2
%
 
5.3
%
 
4.9
%
 
 
6

Washington-Arlington-Alexandria, DC-VA-MD-WV
 
 
3

 
451,260

 
98.3
%
 
98.3
%
 
4,922

 
11.10

 
0.6
%
 
0.5
%
 
0.5
%
 
 
7

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
 
 
28

 
4,304,849

 
92.4
%
 
94.5
%
 
56,434

 
15.57

 
5.4
%
 
5.0
%
 
6.0
%
 
 
8

Miami-Fort Lauderdale-West Palm Beach, FL
 
 
 
10

 
1,691,826

 
86.4
%
 
89.6
%
 
20,313

 
13.97

 
1.9
%
 
2.0
%
 
2.1
%
 
 
9

Atlanta-Sandy Springs-Roswell, GA
 
 
 
25

 
3,663,048

 
91.3
%
 
93.1
%
 
36,012

 
10.87

 
4.8
%
 
4.2
%
 
3.8
%
 
 
10

Boston-Cambridge-Newton, MA-NH
 
 
 
6

 
710,752

 
85.6
%
 
88.7
%
 
7,891

 
12.81

 
1.1
%
 
0.8
%
 
0.9
%
 
 
 
Top 10 Largest US MSAs by Population
 
 
 
180

 
27,853,547

 
90.6
%
 
92.8
%
 
353,770

 
14.52

 
34.7
%
 
32.1
%
 
37.1
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11

San Francisco-Oakland-Hayward, CA
 
 
 
2

 
476,983

 
94.0
%
 
96.9
%
 
9,129

 
24.95

 
0.4
%
 
0.6
%
 
1.0
%
 
 
12

Phoenix-Mesa-Scottsdale, AZ
 
 
 
1

 
119,525

 
33.6
%
 
71.1
%
 
1,111

 
13.06

 
0.2
%
 
0.1
%
 
0.1
%
 
 
13

Riverside-San Bernardino-Ontario, CA
 
 
 
4

 
537,794

 
92.9
%
 
93.6
%
 
6,722

 
13.46

 
0.7
%
 
0.7
%
 
0.7
%
 
 
14

Detroit-Warren-Dearborn, MI
 
 
 
9

 
1,601,006

 
91.2
%
 
92.5
%
 
17,018

 
12.39

 
1.7
%
 
1.9
%
 
1.8
%
 
 
15

Seattle-Tacoma-Bellevue, WA
 
 
 
0

 

 

 

 

 

 

 

 

 
 
16

Minneapolis-St. Paul-Bloomington, MN-WI
 
 
 
8

 
1,179,623

 
83.5
%
 
91.5
%
 
13,244

 
13.07

 
1.5
%
 
1.4
%
 
1.4
%
 
 
17

San Diego-Carlsbad, CA
 
 
 
2

 
507,514

 
96.2
%
 
97.3
%
 
9,080

 
18.99

 
0.4
%
 
0.6
%
 
1.0
%
 
 
18

Tampa-St. Petersburg-Clearwater, FL
 
 
 
15

 
2,397,823

 
93.0
%
 
94.7
%
 
27,778

 
13.26

 
2.9
%
 
2.8
%
 
2.9
%
 
 
19

Denver-Aurora-Lakewood, CO
 
 
 
5

 
1,197,692

 
96.8
%
 
97.0
%
 
14,719

 
12.74

 
0.9
%
 
1.4
%
 
1.6
%
 
 
20

St. Louis, MO-IL
 
 
 
4

 
658,111

 
86.8
%
 
91.6
%
 
5,525

 
9.22

 
0.8
%
 
0.8
%
 
0.6
%
 
 
 
Top 20 Largest US MSAs by Population
 
 
 
230

 
36,529,618

 
90.7
%
 
93.0
%
 
458,096

 
14.30

 
44.2
%
 
42.4
%
 
48.2
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21

Baltimore-Columbia-Towson, MD
 
 
 
1

 
218,862

 
100.0
%
 
100.0
%
 
2,636

 
12.04

 
0.2
%
 
0.3
%
 
0.3
%
 
 
22

Charlotte-Concord-Gastonia, NC-SC
 
 
 
6

 
1,708,565

 
89.5
%
 
90.0
%
 
14,255

 
10.16

 
1.1
%
 
2.0
%
 
1.5
%
 
 
23

Portland-Vancouver-Hillsboro, OR-WA
 
 
 
0

 

 

 

 

 

 

 

 

 
 
24

Orlando-Kissimmee-Sanford, FL
 
 
 
6

 
963,156

 
89.7
%
 
95.0
%
 
15,495

 
17.27

 
1.2
%
 
1.1
%
 
1.6
%
 
 
25

San Antonio-New Braunfels, TX
 
 
 
0

 

 

 

 

 

 

 

 

 
 
26

Pittsburgh, PA
 
 
 
1

 
199,079

 
100.0
%
 
100.0
%
 
1,906

 
10.61

 
0.2
%
 
0.2
%
 
0.2
%
 
 
27

Sacramento--Roseville--Arden-Arcade, CA
 
 
 
1

 
103,695

 
95.6
%
 
95.6
%
 
1,844

 
18.61

 
0.2
%
 
0.1
%
 
0.2
%
 
 
28

Cincinnati, OH-KY-IN
 
 
 
7

 
1,932,081

 
95.5
%
 
96.6
%
 
21,230

 
14.32

 
1.4
%
 
2.2
%
 
2.2
%
 
 
29

Las Vegas-Henderson-Paradise, NV
 
 
 
3

 
613,061

 
93.7
%
 
95.4
%
 
8,361

 
14.38

 
0.6
%
 
0.7
%
 
0.9
%
 
 
30

Kansas City, MO-KS
 
 
 
4

 
602,466

 
88.8
%
 
90.4
%
 
4,221

 
7.88

 
0.8
%
 
0.7
%
 
0.4
%
 
 
31

Cleveland-Elyria, OH
 
 
 
7

 
1,446,201

 
93.6
%
 
94.5
%
 
14,850

 
11.69

 
1.4
%
 
1.7
%
 
1.6
%
 
 
32

Columbus, OH
 
 
 
4

 
449,488

 
88.1
%
 
90.5
%
 
4,028

 
10.48

 
0.8
%
 
0.5
%
 
0.4
%
 
 
33

Austin-Round Rock, TX
 
 
 
1

 
168,112

 
83.7
%
 
83.7
%
 
1,588

 
11.29

 
0.2
%
 
0.2
%
 
0.2
%
 
 
34

Indianapolis-Carmel-Anderson, IN
 
 
 
4

 
881,418

 
80.3
%
 
81.4
%
 
6,336

 
8.87

 
0.8
%
 
1.0
%
 
0.7
%
 
 
35

San Jose-Sunnyvale-Santa Clara, CA
 
 
 
0

 

 

 

 

 

 

 

 

 
 
36

Nashville-Davidson--Murfreesboro--Franklin, TN
 
 
 
7

 
1,279,571

 
92.1
%
 
93.8
%
 
13,028

 
10.96

 
1.4
%
 
1.5
%
 
1.4
%
 
 
37

Virginia Beach-Norfolk-Newport News, VA-NC
 
 
 
2

 
205,245

 
96.9
%
 
96.9
%
 
3,276

 
16.60

 
0.4
%
 
0.2
%
 
0.3
%
 
 
38

Providence-Warwick, RI-MA
 
 
 
1

 
148,126

 
83.8
%
 
83.8
%
 
1,356

 
10.92

 
0.2
%
 
0.2
%
 
0.1
%
 
 
39

Milwaukee-Waukesha-West Allis, WI
 
 
 
4

 
710,412

 
90.2
%
 
90.8
%
 
6,618

 
10.26

 
0.8
%
 
0.8
%
 
0.7
%
 
 
40

Jacksonville, FL
 
 
 
5

 
827,508

 
72.7
%
 
82.9
%
 
8,087

 
12.27

 
1.0
%
 
1.0
%
 
0.8
%
 
 
41

Oklahoma City, OK
 
 
 
0

 

 

 

 

 

 

 

 

 
 
42

Memphis, TN-MS-AR
 
 
 
1

 
660,013

 
91.5
%
 
93.3
%
 
8,246

 
13.80

 
0.2
%
 
0.8
%
 
0.9
%
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 30




PROPERTIES BY LARGEST US MSAs
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent of
 
 
 
 
 
 
 
 
 
 
 
Number of
 
 
 
Percent
 
Percent
 
 
 
 
 
Number of
 
Percent
 
Percent
 
 
 
Largest US MSAs by 2014 Population
 
 
 
Properties
 
 GLA
 
Billed
 
Leased
 
 ABR
 
 ABR / SF
 
Properties
 
of GLA
 
of ABR
 
 
43

Louisville/Jefferson County, KY-IN
 
 
 
4

 
707,728

 
83.9
%
 
96.4
%
 
7,132

 
10.74

 
0.8
%
 
0.8
%
 
0.7
%
 
 
44

Raleigh, NC
 
 
 
2

 
291,027

 
94.1
%
 
95.4
%
 
3,487

 
12.66

 
0.4
%
 
0.3
%
 
0.4
%
 
 
45

Richmond, VA
 
 
 
2

 
215,897

 
76.6
%
 
95.7
%
 
2,873

 
13.91

 
0.4
%
 
0.2
%
 
0.3
%
 
 
46

New Orleans-Metairie, LA
 
 
 
0

 

 

 

 

 

 

 

 

 
 
47

Hartford-West Hartford-East Hartford, CT
 
 
 
4

 
891,680

 
94.3
%
 
94.9
%
 
11,723

 
16.51

 
0.8
%
 
1.0
%
 
1.2
%
 
 
48

Salt Lake City, UT
 
 
 
0

 

 

 

 

 

 

 

 

 
 
49

Birmingham-Hoover, AL
 
 
 
0

 

 

 

 

 

 

 

 

 
 
50

Buffalo-Cheektowaga-Niagara Falls, NY
 
 
 
1

 
95,544

 
97.1
%
 
97.1
%
 
1,406

 
15.55

 
0.2
%
 
0.1
%
 
0.1
%
 
 
 
Top 50 Largest US MSAs by Population
 
 
 
308

 
51,848,553

 
90.5
%
 
92.9
%
 
622,078

 
13.73

 
59.7
%
 
60.0
%
 
65.3
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
MSAs Ranked 51 - 100 by Population
 
 
 
67

 
11,581,733

 
90.0
%
 
91.8
%
 
117,988

 
12.33

 
13.0
%
 
13.4
%
 
12.4
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Other MSAs
 
 
 
141

 
23,015,862

 
91.0
%
 
93.0
%
 
212,587

 
11.05

 
27.3
%
 
26.6
%
 
22.3
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL
 
 
 
516

 
86,446,148

 
90.6
%
 
92.8
%
 
$
952,653

 
$
12.85

 
100.0
%
 
100.0
%
 
100.0
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 31




LARGEST MSAs BY ABR
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent of
 
 
 
 
 
 
 
 
 
 
 
Number of
 
 
 
Percent
 
Percent
 
 
 
 
 
Number of
 
Percent
 
Percent
 
 
 
Largest MSAs by ABR
 
MSA Rank
 
Properties
 
 GLA
 
Billed
 
Leased
 
 ABR
 
 ABR / SF
 
Properties
 
of GLA
 
of ABR
 
 
1

New York-Newark-Jersey City, NY-NJ-PA
 
1
 
30

 
3,634,295

 
87.7
%
 
91.5
%
 
$
64,111

 
$
20.28

 
5.8
%
 
4.2
%
 
6.7
%
 
 
2

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
7
 
28

 
4,304,849

 
92.4
%
 
94.5
%
 
56,434

 
15.57

 
5.4
%
 
5.0
%
 
5.9
%
 
 
3

Houston-The Woodlands-Sugar Land, TX
 
5
 
37

 
4,603,116

 
90.4
%
 
92.0
%
 
47,095

 
11.59

 
7.2
%
 
5.3
%
 
4.9
%
 
 
4

Chicago-Naperville-Elgin, IL-IN-WI
 
3
 
16

 
4,019,526

 
90.3
%
 
91.2
%
 
45,016

 
13.53

 
3.1
%
 
4.6
%
 
4.7
%
 
 
5

Dallas-Fort Worth-Arlington, TX
 
4
 
16

 
3,089,841

 
89.9
%
 
93.6
%
 
42,997

 
15.07

 
3.1
%
 
3.6
%
 
4.5
%
 
 
6

Atlanta-Sandy Springs-Roswell, GA
 
9
 
25

 
3,663,048

 
91.3
%
 
93.1
%
 
36,012

 
10.87

 
4.8
%
 
4.2
%
 
3.8
%
 
 
7

Los Angeles-Long Beach-Anaheim, CA
 
2
 
9

 
1,685,034

 
97.9
%
 
98.7
%
 
28,979

 
19.17

 
1.7
%
 
1.9
%
 
3.0
%
 
 
8

Tampa-St. Petersburg-Clearwater, FL
 
18
 
15

 
2,397,823

 
93.0
%
 
94.7
%
 
27,778

 
13.26

 
2.9
%
 
2.8
%
 
2.9
%
 
 
9

Cincinnati, OH-KY-IN
 
28
 
7

 
1,932,081

 
95.5
%
 
96.6
%
 
21,230

 
14.32

 
1.4
%
 
2.2
%
 
2.2
%
 
 
10

Miami-Fort Lauderdale-West Palm Beach, FL
 
8
 
10

 
1,691,826

 
86.4
%
 
89.6
%
 
20,313

 
13.97

 
1.9
%
 
2.0
%
 
2.1
%
 
 
 
10 Largest MSAs by ABR
 
 
193

 
31,021,439

 
91.1
%
 
93.2
%
 
389,965

 
14.50

 
37.3
%
 
35.8
%
 
40.7
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11

Detroit-Warren-Dearborn, MI
 
14
 
9

 
1,601,006

 
91.2
%
 
92.5
%
 
17,018

 
12.39

 
1.7
%
 
1.9
%
 
1.8
%
 
 
12

Orlando-Kissimmee-Sanford, FL
 
24
 
6

 
963,156

 
89.7
%
 
95.0
%
 
15,495

 
17.27

 
1.2
%
 
1.1
%
 
1.6
%
 
 
13

Cleveland-Elyria, OH
 
31
 
7

 
1,446,201

 
93.6
%
 
94.5
%
 
14,850

 
11.69

 
1.4
%
 
1.7
%
 
1.6
%
 
 
14

Denver-Aurora-Lakewood, CO
 
19
 
5

 
1,197,692

 
96.8
%
 
97.0
%
 
14,719

 
12.74

 
1.0
%
 
1.4
%
 
1.5
%
 
 
15

Charlotte-Concord-Gastonia, NC-SC
 
22
 
6

 
1,708,565

 
89.5
%
 
90.0
%
 
14,255

 
10.16

 
1.2
%
 
2.0
%
 
1.5
%
 
 
16

Allentown-Bethlehem-Easton, PA-NJ
 
69
 
5

 
1,298,479

 
97.3
%
 
97.4
%
 
13,687

 
13.76

 
1.0
%
 
1.5
%
 
1.4
%
 
 
17

Minneapolis-St. Paul-Bloomington, MN-WI
 
16
 
8

 
1,179,623

 
83.5
%
 
91.5
%
 
13,244

 
13.07

 
1.6
%
 
1.4
%
 
1.4
%
 
 
18

Nashville-Davidson--Murfreesboro--Franklin, TN
 
36
 
7

 
1,279,571

 
92.1
%
 
93.8
%
 
13,028

 
10.96

 
1.4
%
 
1.5
%
 
1.4
%
 
 
19

Hartford-West Hartford-East Hartford, CT
 
47
 
4

 
891,680

 
94.3
%
 
94.9
%
 
11,723

 
16.51

 
0.8
%
 
1.0
%
 
1.2
%
 
 
20

Naples-Immokalee-Marco Island, FL
 
148
 
4

 
771,980

 
90.7
%
 
94.9
%
 
10,879

 
15.03

 
0.8
%
 
0.9
%
 
1.1
%
 
 
 
20 Largest MSAs by ABR
 
 
254

 
43,359,392

 
91.3
%
 
93.4
%
 
528,863

 
14.06

 
49.4
%
 
50.2
%
 
55.2
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21

Oxnard-Thousand Oaks-Ventura, CA
 
66
 
3

 
677,512

 
96.4
%
 
98.9
%
 
10,838

 
16.41

 
0.5
%
 
0.8
%
 
1.1
%
 
 
22

Binghamton, NY
 
189
 
4

 
751,207

 
97.7
%
 
99.1
%
 
9,866

 
13.26

 
0.7
%
 
0.9
%
 
1.0
%
 
 
23

San Francisco-Oakland-Hayward, CA
 
11
 
2

 
476,983

 
94.0
%
 
96.9
%
 
9,129

 
24.95

 
0.4
%
 
0.6
%
 
1.0
%
 
 
24

San Diego-Carlsbad, CA
 
17
 
2

 
507,514

 
96.2
%
 
97.3
%
 
9,080

 
18.99

 
0.4
%
 
0.6
%
 
1.0
%
 
 
25

Las Vegas-Henderson-Paradise, NV
 
29
 
3

 
613,061

 
93.7
%
 
95.4
%
 
8,361

 
14.38

 
0.6
%
 
0.7
%
 
0.9
%
 
 
26

Memphis, TN-MS-AR
 
42
 
1

 
660,013

 
91.5
%
 
93.3
%
 
8,246

 
13.80

 
0.2
%
 
0.8
%
 
0.9
%
 
 
27

Jacksonville, FL
 
40
 
5

 
827,508

 
72.7
%
 
82.9
%
 
8,087

 
12.27

 
1.0
%
 
1.0
%
 
0.8
%
 
 
28

Vallejo-Fairfield, CA
 
121
 
1

 
495,239

 
95.4
%
 
95.4
%
 
7,921

 
16.85

 
0.1
%
 
0.6
%
 
0.8
%
 
 
29

Boston-Cambridge-Newton, MA-NH
 
10
 
6

 
710,752

 
85.6
%
 
88.7
%
 
7,891

 
12.81

 
1.2
%
 
0.8
%
 
0.8
%
 
 
30

New Haven-Milford, CT
 
65
 
6

 
572,225

 
94.6
%
 
94.6
%
 
7,590

 
14.04

 
1.1
%
 
0.7
%
 
0.8
%
 
 
31

Fresno, CA
 
56
 
2

 
436,334

 
98.4
%
 
98.7
%
 
7,530

 
17.49

 
0.4
%
 
0.5
%
 
0.8
%
 
 
32

Louisville/Jefferson County, KY-IN
 
43
 
4

 
707,728

 
83.9
%
 
96.4
%
 
7,132

 
10.74

 
0.8
%
 
0.8
%
 
0.7
%
 
 
33

Norwich-New London, CT
 
175
 
2

 
433,532

 
97.1
%
 
97.1
%
 
6,993

 
16.61

 
0.4
%
 
0.5
%
 
0.7
%
 
 
34

Port St. Lucie, FL
 
113
 
5

 
628,830

 
76.8
%
 
78.0
%
 
6,895

 
14.05

 
0.9
%
 
0.7
%
 
0.7
%
 
 
35

Riverside-San Bernardino-Ontario, CA
 
13
 
4

 
537,794

 
92.9
%
 
93.6
%
 
6,722

 
13.46

 
0.8
%
 
0.6
%
 
0.7
%
 
 
36

Milwaukee-Waukesha-West Allis, WI
 
39
 
4

 
710,412

 
90.2
%
 
90.8
%
 
6,618

 
10.26

 
0.8
%
 
0.8
%
 
0.7
%
 
 
37

Indianapolis-Carmel-Anderson, IN
 
34
 
4

 
881,418

 
80.3
%
 
81.4
%
 
6,336

 
8.87

 
0.8
%
 
1.0
%
 
0.7
%
 
 
38

Worcester, MA-CT
 
58
 
4

 
589,104

 
83.1
%
 
84.3
%
 
5,810

 
13.52

 
0.8
%
 
0.7
%
 
0.6
%
 
 
39

St. Louis, MO-IL
 
20
 
4

 
658,111

 
86.8
%
 
91.6
%
 
5,525

 
9.22

 
0.8
%
 
0.8
%
 
0.6
%
 
 
40

Scranton--Wilkes-Barre--Hazleton, PA
 
97
 
2

 
620,309

 
99.0
%
 
99.0
%
 
5,384

 
19.27

 
0.4
%
 
0.7
%
 
0.6
%
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 32




LARGEST MSAs BY ABR
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent of
 
 
 
 
 
 
 
 
 
 
 
Number of
 
 
 
Percent
 
Percent
 
 
 
 
 
Number of
 
Percent
 
Percent
 
 
 
Largest MSAs by ABR
 
MSA Rank
 
Properties
 
 GLA
 
Billed
 
Leased
 
 ABR
 
 ABR / SF
 
Properties
 
of GLA
 
of ABR
 
 
41

Springfield, MA
 
88
 
3

 
450,701

 
97.4
%
 
97.4
%
 
5,352

 
14.38

 
0.6
%
 
0.5
%
 
0.6
%
 
 
42

Wilmington, NC
 
171
 
2

 
379,107

 
89.8
%
 
97.7
%
 
5,317

 
14.51

 
0.4
%
 
0.4
%
 
0.6
%
 
 
43

Dayton, OH
 
72
 
3

 
534,684

 
96.8
%
 
97.2
%
 
5,144

 
12.15

 
0.6
%
 
0.6
%
 
0.5
%
 
 
44

College Station-Bryan, TX
 
187
 
4

 
491,463

 
93.6
%
 
95.0
%
 
5,112

 
13.16

 
0.8
%
 
0.6
%
 
0.5
%
 
 
45

North Port-Sarasota-Bradenton, FL
 
73
 
4

 
556,862

 
88.8
%
 
93.6
%
 
5,087

 
9.84

 
0.8
%
 
0.6
%
 
0.5
%
 
 
46

Corpus Christi, TX
 
114
 
4

 
565,070

 
89.7
%
 
91.6
%
 
5,085

 
11.80

 
0.8
%
 
0.7
%
 
0.5
%
 
 
47

Winston-Salem, NC
 
83
 
3

 
438,898

 
93.1
%
 
94.1
%
 
5,053

 
12.63

 
0.6
%
 
0.5
%
 
0.5
%
 
 
48

Greensboro-High Point, NC
 
74
 
1

 
406,768

 
100.0
%
 
100.0
%
 
4,994

 
14.36

 
0.2
%
 
0.5
%
 
0.5
%
 
 
49

Washington-Arlington-Alexandria, DC-VA-MD-WV
6
 
3

 
451,260

 
98.3
%
 
98.3
%
 
4,922

 
11.10

 
0.6
%
 
0.5
%
 
0.5
%
 
 
50

Ann Arbor, MI
 
147
 
3

 
658,102

 
79.0
%
 
91.9
%
 
4,887

 
10.86

 
0.6
%
 
0.8
%
 
0.5
%
 
 
 
50 Largest MSAs by ABR
 
 
352

 
60,787,893

 
91.0
%
 
93.3
%
 
731,770

 
13.90

 
68.5
%
 
70.5
%
 
76.3
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
51

Manchester-Nashua, NH
 
132
 
2

 
348,189

 
87.8
%
 
97.3
%
 
4,236

 
20.28

 
0.4
%
 
0.4
%
 
0.4
%
 
 
52

Kansas City, MO-KS
 
30
 
4

 
602,466

 
88.8
%
 
90.4
%
 
4,221

 
7.88

 
0.8
%
 
0.7
%
 
0.4
%
 
 
53

Jackson, MS
 
94
 
3

 
406,316

 
84.6
%
 
97.0
%
 
4,058

 
10.49

 
0.6
%
 
0.5
%
 
0.4
%
 
 
54

Columbus, OH
 
32
 
4

 
449,488

 
88.1
%
 
90.5
%
 
4,028

 
10.48

 
0.8
%
 
0.5
%
 
0.4
%
 
 
55

Roanoke, VA
 
159
 
4

 
522,010

 
89.3
%
 
92.5
%
 
3,945

 
9.31

 
0.8
%
 
0.6
%
 
0.4
%
 
 
56

Pittsfield, MA
 
320
 
1

 
442,354

 
96.9
%
 
96.9
%
 
3,857

 
20.89

 
0.2
%
 
0.5
%
 
0.4
%
 
 
57

Boulder, CO
 
156
 
1

 
279,189

 
81.8
%
 
81.8
%
 
3,833

 
16.78

 
0.2
%
 
0.3
%
 
0.4
%
 
 
58

Mobile, AL
 
127
 
1

 
606,731

 
88.5
%
 
88.5
%
 
3,657

 
10.13

 
0.2
%
 
0.7
%
 
0.4
%
 
 
59

Panama City, FL
 
221
 
2

 
397,512

 
97.8
%
 
98.8
%
 
3,590

 
9.14

 
0.4
%
 
0.5
%
 
0.4
%
 
 
60

Charleston-North Charleston, SC
 
75
 
3

 
556,809

 
69.7
%
 
77.0
%
 
3,504

 
8.37

 
0.6
%
 
0.6
%
 
0.4
%
 
 
61

Raleigh, NC
 
44
 
2

 
291,027

 
94.1
%
 
95.4
%
 
3,487

 
12.66

 
0.4
%
 
0.3
%
 
0.4
%
 
 
62

Greenville-Anderson-Mauldin, SC
 
63
 
2

 
220,723

 
98.9
%
 
98.9
%
 
3,450

 
15.80

 
0.4
%
 
0.3
%
 
0.4
%
 
 
63

Toledo, OH
 
91
 
2

 
606,407

 
74.4
%
 
82.1
%
 
3,439

 
8.78

 
0.4
%
 
0.7
%
 
0.4
%
 
 
64

Spartanburg, SC
 
153
 
1

 
360,277

 
84.6
%
 
86.5
%
 
3,369

 
11.39

 
0.2
%
 
0.4
%
 
0.4
%
 
 
65

Atlantic City-Hammonton, NJ
 
173
 
1

 
179,199

 
97.9
%
 
100.0
%
 
3,367

 
18.79

 
0.2
%
 
0.2
%
 
0.4
%
 
 
66

Bakersfield, CA
 
61
 
1

 
240,328

 
99.9
%
 
99.9
%
 
3,309

 
14.03

 
0.2
%
 
0.3
%
 
0.3
%
 
 
67

Virginia Beach-Norfolk-Newport News, VA-NC
 
37
 
2

 
205,245

 
96.9
%
 
96.9
%
 
3,276

 
16.60

 
0.4
%
 
0.2
%
 
0.3
%
 
 
68

Saginaw, MI
 
226
 
2

 
466,381

 
77.6
%
 
80.2
%
 
3,263

 
11.35

 
0.4
%
 
0.5
%
 
0.3
%
 
 
69

Greenville, NC
 
237
 
1

 
233,153

 
96.8
%
 
96.8
%
 
2,969

 
13.16

 
0.2
%
 
0.3
%
 
0.3
%
 
 
70

Hilton Head Island-Bluffton-Beaufort, SC
 
212
 
2

 
230,352

 
94.2
%
 
94.5
%
 
2,959

 
13.60

 
0.4
%
 
0.3
%
 
0.3
%
 
 
71

Elkhart-Goshen, IN
 
218
 
2

 
445,534

 
96.4
%
 
96.4
%
 
2,881

 
9.00

 
0.4
%
 
0.5
%
 
0.3
%
 
 
72

Richmond, VA
 
45
 
2

 
215,897

 
76.6
%
 
95.7
%
 
2,873

 
13.91

 
0.4
%
 
0.2
%
 
0.3
%
 
 
73

Lafayette, LA
 
108
 
3

 
433,211

 
95.4
%
 
95.6
%
 
2,821

 
6.82

 
0.6
%
 
0.5
%
 
0.3
%
 
 
74

Des Moines-West Des Moines, IA
 
90
 
2

 
511,885

 
89.0
%
 
90.0
%
 
2,816

 
6.18

 
0.4
%
 
0.6
%
 
0.3
%
 
 
75

Lexington-Fayette, KY
 
107
 
2

 
414,960

 
95.5
%
 
96.2
%
 
2,800

 
7.02

 
0.4
%
 
0.5
%
 
0.3
%
 
 
76

Savannah, GA
 
138
 
2

 
224,201

 
78.6
%
 
94.2
%
 
2,795

 
13.41

 
0.4
%
 
0.3
%
 
0.3
%
 
 
77

Traverse City, MI
 
284
 
1

 
412,755

 
97.6
%
 
98.6
%
 
2,792

 
27.13

 
0.2
%
 
0.5
%
 
0.3
%
 
 
78

Odessa, TX
 
261
 
1

 
365,559

 
100.0
%
 
100.0
%
 
2,770

 
12.13

 
0.2
%
 
0.4
%
 
0.3
%
 
 
79

Tullahoma-Manchester, TN
 
377
 
3

 
433,744

 
94.0
%
 
94.4
%
 
2,699

 
6.59

 
0.6
%
 
0.5
%
 
0.3
%
 
 
80

Blacksburg-Christiansburg-Radford, VA
 
231
 
1

 
180,220

 
92.8
%
 
100.0
%
 
2,657

 
14.99

 
0.2
%
 
0.2
%
 
0.3
%
 
 
81

Baltimore-Columbia-Towson, MD
 
21
 
1

 
218,862

 
100.0
%
 
100.0
%
 
2,636

 
12.04

 
0.2
%
 
0.3
%
 
0.3
%
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 33




LARGEST MSAs BY ABR
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent of
 
 
 
 
 
 
 
 
 
 
 
Number of
 
 
 
Percent
 
Percent
 
 
 
 
 
Number of
 
Percent
 
Percent
 
 
 
Largest MSAs by ABR
 
MSA Rank
 
Properties
 
 GLA
 
Billed
 
Leased
 
 ABR
 
 ABR / SF
 
Properties
 
of GLA
 
of ABR
 
 
82

Lancaster, PA
 
103
 
3

 
236,006

 
98.3
%
 
98.3
%
 
2,511

 
10.82

 
0.6
%
 
0.3
%
 
0.3
%
 
 
83

Fort Wayne, IN
 
125
 
2

 
254,101

 
81.9
%
 
81.9
%
 
2,488

 
13.95

 
0.4
%
 
0.3
%
 
0.3
%
 
 
84

Bridgeport-Stamford-Norwalk, CT
 
57
 
1

 
160,536

 
87.9
%
 
87.9
%
 
2,431

 
17.22

 
0.2
%
 
0.2
%
 
0.3
%
 
 
85

Chattanooga, TN-GA
 
101
 
2

 
339,426

 
94.9
%
 
95.3
%
 
2,407

 
8.07

 
0.4
%
 
0.4
%
 
0.3
%
 
 
86

Dover, DE
 
240
 
1

 
191,974

 
100.0
%
 
100.0
%
 
2,334

 
12.16

 
0.2
%
 
0.2
%
 
0.2
%
 
 
87

Merced, CA
 
178
 
1

 
146,364

 
98.8
%
 
98.8
%
 
2,331

 
16.13

 
0.2
%
 
0.2
%
 
0.2
%
 
 
88

Altoona, PA
 
326
 
1

 
278,586

 
88.9
%
 
88.9
%
 
2,140

 
8.64

 
0.2
%
 
0.3
%
 
0.2
%
 
 
89

Corning, NY
 
389
 
1

 
253,335

 
100.0
%
 
100.0
%
 
2,092

 
8.26

 
0.2
%
 
0.3
%
 
0.2
%
 
 
90

Duluth, MN-WI
 
168
 
1

 
182,969

 
98.6
%
 
98.6
%
 
2,005

 
11.12

 
0.2
%
 
0.2
%
 
0.2
%
 
 
91

Concord, NH
 
287
 
1

 
182,887

 
100.0
%
 
100.0
%
 
1,994

 
11.16

 
0.2
%
 
0.2
%
 
0.2
%
 
 
92

Portland-South Portland, ME
 
104
 
1

 
287,513

 
99.3
%
 
99.3
%
 
1,957

 
16.70

 
0.2
%
 
0.3
%
 
0.2
%
 
 
93

Rutland, VT
 
528
 
1

 
224,514

 
98.2
%
 
98.2
%
 
1,944

 
8.81

 
0.2
%
 
0.3
%
 
0.2
%
 
 
94

Santa Maria-Santa Barbara, CA
 
117
 
1

 
179,549

 
91.1
%
 
100.0
%
 
1,939

 
11.64

 
0.2
%
 
0.2
%
 
0.2
%
 
 
95

Hickory-Lenoir-Morganton, NC
 
145
 
2

 
295,970

 
77.7
%
 
78.3
%
 
1,906

 
8.22

 
0.4
%
 
0.3
%
 
0.2
%
 
 
96

Pittsburgh, PA
 
26
 
1

 
199,079

 
100.0
%
 
100.0
%
 
1,906

 
10.61

 
0.2
%
 
0.2
%
 
0.2
%
 
 
97

Sacramento--Roseville--Arden-Arcade, CA
 
27
 
1

 
103,695

 
95.6
%
 
95.6
%
 
1,844

 
18.61

 
0.2
%
 
0.1
%
 
0.2
%
 
 
98

Springfield, IL
 
211
 
2

 
178,644

 
91.6
%
 
93.0
%
 
1,835

 
11.06

 
0.4
%
 
0.2
%
 
0.2
%
 
 
99

York-Hanover, PA
 
120
 
1

 
153,088

 
93.3
%
 
93.3
%
 
1,814

 
12.96

 
0.2
%
 
0.2
%
 
0.2
%
 
 
100

Cape Coral-Fort Myers, FL
 
79
 
2

 
130,312

 
98.9
%
 
98.9
%
 
1,803

 
14.00

 
0.4
%
 
0.2
%
 
0.2
%
 
 
 
100 Largest MSAs by ABR
 
 
439

 
76,267,425

 
90.9
%
 
93.2
%
 
873,808

 
13.38

 
85.9
%
 
88.4
%
 
91.3
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Other MSAs
 
 
77

 
10,178,723

 
87.9
%
 
89.6
%
 
78,845

 
8.98

 
14.1
%
 
11.6
%
 
8.7
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL
 
 
516

 
86,446,148

 
90.6
%
 
92.8
%
 
$
952,653

 
$
12.85

 
100.0
%
 
100.0
%
 
100.0
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Supplemental Disclosure - Three Months Ended June 30, 2016
Page 34




PROPERTIES BY STATE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Percent of
 
 
 
 
 
 
 
 
 
Number of
 
 
 
Percent
 
Percent
 
 
 
 
 
Number of
 
Percent
 
Percent
 
 
 
State
 
Properties
 
 GLA
 
Leased
 
Billed
 
 ABR
 
 ABR / SF
 
Properties
 
of GLA
 
of ABR
 
 
1

Texas
 
66

 
9,555,752

 
90.4
%
 
92.9
%
 
$
106,933

 
$
12.79

 
12.8
%
 
11.1
%
 
11.2
%
 
 
2

Florida
 
57

 
8,983,935

 
88.0
%
 
91.4
%
 
105,243

 
13.30

 
11.0
%
 
10.4
%
 
11.0
%
 
 
3

California
 
29

 
5,776,984

 
96.5
%
 
97.7
%
 
91,716

 
17.28

 
5.6
%
 
6.7
%
 
9.6
%
 
 
4

Pennsylvania
 
36

 
5,958,581

 
93.9
%
 
95.4
%
 
68,091

 
14.46

 
7.0
%
 
6.9
%
 
7.2
%
 
 
5

New York
 
33

 
4,340,537

 
88.4
%
 
91.4
%
 
64,738

 
16.98

 
6.4
%
 
5.0
%
 
6.8
%
 
 
6

Illinois
 
24

 
4,855,389

 
90.4
%
 
91.6
%
 
51,654

 
12.59

 
4.7
%
 
5.6
%
 
5.4
%
 
 
7

Georgia
 
37

 
5,264,566

 
88.8
%
 
90.8
%
 
46,751

 
9.99

 
7.2
%
 
6.1
%
 
4.9
%
 
 
8

Ohio
 
24

 
4,528,865

 
91.0
%
 
92.9
%
 
43,577

 
11.98

 
4.7
%
 
5.2
%
 
4.6
%
 
 
9

New Jersey
 
18

 
3,087,643

 
91.4
%
 
92.2
%
 
41,963

 
15.71

 
3.5
%
 
3.6
%
 
4.5
%
 
 
10

North Carolina
 
21

 
4,326,434

 
90.5
%
 
92.0
%
 
41,277

 
10.96

 
3.9
%
 
5.0
%
 
4.3
%
 
 
11

Michigan
 
19

 
3,695,959

 
87.4
%
 
90.8
%
 
33,187

 
12.31

 
3.7
%
 
4.3
%
 
3.5
%
 
 
12

Connecticut
 
15

 
2,260,429

 
94.1
%
 
94.4
%
 
30,555

 
15.31

 
2.9
%
 
2.6
%
 
3.3
%
 
 
13

Tennessee
 
15

 
3,063,908

 
92.3
%
 
93.6
%
 
28,887

 
10.63

 
2.9
%
 
3.5
%
 
3.0
%
 
 
14

Kentucky
 
12

 
2,605,539

 
93.8
%
 
97.7
%
 
22,648

 
9.47

 
2.3
%
 
3.0
%
 
2.4
%
 
 
15

Massachusetts
 
11

 
1,874,257

 
92.5
%
 
93.2
%
 
20,736

 
15.14

 
2.1
%
 
2.2
%
 
2.2
%
 
 
16

Colorado
 
6

 
1,476,881

 
94.0
%
 
94.1
%
 
18,552

 
13.41

 
1.2
%
 
1.7
%
 
1.9
%
 
 
17

Minnesota
 
10

 
1,471,078

 
84.6
%
 
91.1
%
 
15,729

 
12.50

 
1.9
%
 
1.7
%
 
1.7
%
 
 
18

Indiana
 
12

 
1,963,425

 
86.6
%
 
87.2
%
 
15,421

 
9.82

 
2.1
%
 
2.3
%
 
1.6
%
 
 
19

Virginia
 
11

 
1,446,496

 
85.1
%
 
91.4
%
 
14,817

 
11.77

 
2.1
%
 
1.7
%
 
1.6
%
 
 
20

South Carolina
 
8

 
1,368,161

 
82.5
%
 
86.0
%
 
13,282

 
11.54

 
1.6
%
 
1.6
%
 
1.4
%
 
 
21

Maryland
 
5

 
776,427

 
100.0
%
 
100.0
%
 
10,067

 
13.02

 
1.0
%
 
0.9
%
 
1.1
%
 
 
22

Nevada
 
3

 
613,061

 
93.7
%
 
95.4
%
 
8,361

 
14.38

 
0.6
%
 
0.7
%
 
0.9
%
 
 
23

New Hampshire
 
5

 
772,770

 
83.4
%
 
89.7
%
 
7,795

 
14.33

 
1.0
%
 
0.9
%
 
0.8
%
 
 
24

Wisconsin
 
5

 
760,967

 
89.4
%
 
90.3
%
 
7,113

 
10.35

 
1.0
%
 
0.9
%
 
0.7
%
 
 
25

Alabama
 
4

 
984,573

 
91.7
%
 
92.0
%
 
7,005

 
9.60

 
0.8
%
 
1.1
%
 
0.7
%
 
 
26

Missouri
 
6

 
862,861

 
87.9
%
 
91.6
%
 
6,528

 
8.40

 
1.2
%
 
1.0
%
 
0.7
%
 
 
27

Mississippi
 
3

 
406,316

 
84.6
%
 
97.0
%
 
4,058

 
10.49

 
0.6
%
 
0.5
%
 
0.4
%
 
 
28

Iowa
 
4

 
721,937

 
88.6
%
 
89.3
%
 
4,049

 
6.33

 
0.8
%
 
0.8
%
 
0.4
%
 
 
29

Louisiana
 
4

 
612,250

 
96.1
%
 
96.2
%
 
3,912

 
6.64

 
0.8
%
 
0.7
%
 
0.4
%
 
 
30

Kansas
 
2

 
367,779

 
89.8
%
 
91.3
%
 
2,945

 
11.38

 
0.4
%
 
0.4
%
 
0.3
%
 
 
31

Arizona
 
2

 
288,110

 
62.2
%
 
77.7
%
 
2,730

 
12.19

 
0.4
%
 
0.3
%
 
0.3
%
 
 
32

Delaware
 
1

 
191,974

 
100.0
%
 
100.0
%
 
2,334

 
12.16

 
0.2
%
 
0.2
%
 
0.2
%
 
 
33

West Virginia
 
2

 
251,500

 
96.4
%
 
97.2
%
 
2,007

 
8.21

 
0.4
%
 
0.3
%
 
0.2
%
 
 
34

Maine
 
1

 
287,513

 
99.3
%
 
99.3
%
 
1,957

 
16.70

 
0.2
%
 
0.3
%
 
0.2
%
 
 
35

Vermont
 
1

 
224,514

 
98.2
%
 
98.2
%
 
1,944

 
8.81

 
0.2
%
 
0.3
%
 
0.2
%
 
 
36

Oklahoma
 
1

 
186,851

 
100.0
%
 
100.0
%
 
1,769

 
9.47

 
0.2
%
 
0.2
%
 
0.2
%
 
 
37

Rhode Island
 
1

 
148,126

 
83.8
%
 
83.8
%
 
1,356

 
10.92

 
0.2
%
 
0.2
%
 
0.1
%
 
 
38

New Mexico
 
2

 
83,800

 
100.0
%
 
100.0
%
 
966

 
11.53

 
0.4
%
 
0.1
%
 
0.1
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL
 
516

 
86,446,148

 
90.6
%
 
92.8
%
 
$
952,653

 
$
12.85

 
100.0
%
 
100.0
%
 
100.0
%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 35




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1

 
Winchester Plaza
 
Huntsville
 
AL
 
Huntsville, AL
 
2006
 
75,780

 
94.6
%
 
$
899

 
$
12.54

 
Publix
 
 
 
2

 
Springdale
 
Mobile
 
AL
 
Mobile, AL
 
2004
 
606,731

 
88.5
%
 
3,657

 
10.13

 
Sam's Club*
 
Belk, Big Lots, Burlington Stores, Marshalls, Michaels, Staples
 
 
3

 
Payton Park
 
Sylacauga
 
AL
 
Talladega-Sylacauga, AL
 
1995
 
231,820

 
100.0
%
 
1,599

 
6.90

 
Walmart Supercenter
 
Burke's Outlet
 
 
4

 
Shops of Tuscaloosa
 
Tuscaloosa
 
AL
 
Tuscaloosa, AL
 
2005
 
70,242

 
92.6
%
 
850

 
13.07

 
Publix
 
 
 
5

 
Glendale Galleria
 
Glendale
 
AZ
 
Phoenix-Mesa-Scottsdale, AZ
 
2016
 
119,525

 
71.1
%
 
1,111

 
13.07

 
 
LA Fitness, Sears Outlet
 
 
6

 
Northmall Centre
 
Tucson
 
AZ
 
Tucson, AZ
 
1996
 
168,585

 
82.4
%
 
1,619

 
11.66

 
Sam's Club*
 
CareMore, JC Penney Home Store, Stein Mart
 
 
7

 
Applegate Ranch Shopping Center
 
Atwater
 
CA
 
Merced, CA
 
2006
 
146,364

 
98.8
%
 
2,331

 
16.13

 
SuperTarget*, Walmart Supercenter*
 
Marshalls, Petco
 
 
8

 
Bakersfield Plaza
 
Bakersfield
 
CA
 
Bakersfield, CA
 
2014
 
240,328

 
99.9
%
 
3,309

 
14.03

 
Lassens Natural Foods & Vitamins
 
Burlington Stores, Ross Dress for Less
 
 
9

 
Carmen Plaza
 
Camarillo
 
CA
 
Oxnard-Thousand Oaks-Ventura, CA
 
2000
 
129,173

 
94.4
%
 
2,016

 
17.47

 
Trader Joe's*
 
24 Hour Fitness, CVS, Michaels
 
 
10

 
Plaza Rio Vista
 
Cathedral
 
CA
 
Riverside-San Bernardino-Ontario, CA
 
2005
 
67,621

 
91.9
%
 
1,100

 
17.71

 
Stater Bros.
 
 
 
11

 
Clovis Commons
 
Clovis
 
CA
 
Fresno, CA
 
2004
 
174,990

 
99.3
%
 
3,848

 
22.15

 
 
Best Buy, Office Depot, PetSmart, T.J.Maxx
 
Target
12

 
Cudahy Plaza
 
Cudahy
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
1994
 
147,804

 
98.0
%
 
1,296

 
8.95

 
 
Big Lots, Kmart
 
 
13

 
University Mall
 
Davis
 
CA
 
Sacramento--Roseville--Arden-Arcade, CA
 
2011
 
103,695

 
95.6
%
 
1,844

 
18.61

 
Trader Joe's
 
Forever 21, World Market
 
 
14

 
Felicita Plaza
 
Escondido
 
CA
 
San Diego-Carlsbad, CA
 
2001
 
98,714

 
100.0
%
 
1,397

 
14.15

 
Vons (Albertsons)
 
Chuze Fitness
 
 
15

 
Arbor - Broadway Faire
 
Fresno
 
CA
 
Fresno, CA
 
1995
 
261,344

 
98.3
%
 
3,682

 
14.34

 
Smart & Final Extra!
 
PetSmart, The Home Depot, United Artists Theatres
 
 
16

 
Lompoc Center
 
Lompoc
 
CA
 
Santa Maria-Santa Barbara, CA
 
2016
 
179,549

 
100.0
%
 
1,939

 
11.64

 
Vons (Albertsons)
 
Harbor Freight Tools, Marshalls, Michaels, Staples
 
 
17

 
Briggsmore Plaza
 
Modesto
 
CA
 
Modesto, CA
 
1998
 
92,315

 
100.0
%
 
1,160

 
13.30

 
Grocery Outlet
 
Fallas Paredes, Sears Outlet
 
 
18

 
Montebello Plaza
 
Montebello
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
2012
 
283,631

 
95.1
%
 
4,482

 
16.94

 
Albertsons
 
99¢ Only, Best Buy, CVS, Ross Dress for Less
 
 
19

 
California Oaks Center
 
Murrieta
 
CA
 
Riverside-San Bernardino-Ontario, CA
 
2016
 
125,187

 
82.8
%
 
1,645

 
16.48

 
Barons Market
 
Dollar Tree
 
 
20

 
Esplanade Shopping Center
 
Oxnard
 
CA
 
Oxnard-Thousand Oaks-Ventura, CA
 
2012
 
356,864

 
100.0
%
 
6,840

 
19.34

 
Walmart Neighborhood Market
 
Bed Bath & Beyond, Dick's Sporting Goods, LA Fitness, Nordstrom Rack, T.J.Maxx
 
The Home Depot
21

 
Pacoima Center
 
Pacoima
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
1995
 
202,773

 
100.0
%
 
2,098

 
10.35

 
Food 4 Less (Kroger)
 
Ross Dress for Less, Target
 
 
22

 
Paradise Plaza
 
Paradise
 
CA
 
Chico, CA
 
1997
 
198,323

 
97.5
%
 
934

 
5.97

 
Save Mart
 
Kmart
 
 
23

 
Metro 580
 
Pleasanton
 
CA
 
San Francisco-Oakland-Hayward, CA
 
2015
 
176,510

 
100.0
%
 
2,667

 
32.92

 
 
Kohl's, Party City
 
Walmart
24

 
Rose Pavilion
 
Pleasanton
 
CA
 
San Francisco-Oakland-Hayward, CA
 
2016
 
300,473

 
95.0
%
 
6,462

 
22.68

 
99 Ranch Market, Trader Joe's
 
Golfsmith, Macy's Home Store
 
 
25

 
Puente Hills Town Center
 
Rowland Heights
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
1984
 
258,685

 
99.0
%
 
5,516

 
21.54

 
 
Marshalls, Michaels
 
 
26

 
San Bernardino Center
 
San Bernardino
 
CA
 
Riverside-San Bernardino-Ontario, CA
 
2003
 
143,082

 
100.0
%
 
1,079

 
7.54

 
 
Big Lots, Target
 
 
27

 
Ocean View Plaza
 
San Clemente
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
2016
 
169,963

 
100.0
%
 
4,675

 
27.51

 
Ralphs (Kroger), Trader Joe's
 
Crunch Fitness, CVS
 
 
28

 
Mira Mesa Mall
 
San Diego
 
CA
 
San Diego-Carlsbad, CA
 
2003
 
408,800

 
96.6
%
 
7,683

 
20.25

 
Vons (Albertsons)
 
Bed Bath & Beyond, Marshalls, Mira Mesa Lanes
 
 
29

 
San Dimas Plaza
 
San Dimas
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
2013
 
164,757

 
98.5
%
 
3,518

 
21.68

 
Smart & Final Extra!
 
Harbor Freight Tools, T.J.Maxx
 
Rite Aid
30

 
Bristol Plaza
 
Santa Ana
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
2003
 
111,403

 
100.0
%
 
2,861

 
26.20

 
Trader Joe's
 
Big Lots, Petco, Rite Aid
 
 
31

 
Gateway Plaza
 
Santa Fe Springs
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
2016
 
289,268

 
100.0
%
 
3,520

 
23.67

 
El Super, Walmart Supercenter
 
LA Fitness, Marshalls
 
Target
32

 
Santa Paula Center
 
Santa Paula
 
CA
 
Oxnard-Thousand Oaks-Ventura, CA
 
1995
 
191,475

 
100.0
%
 
1,982

 
10.35

 
Vons (Albertsons)
 
Big Lots, Heritage Hardware
 
 
33

 
Vail Ranch Center
 
Temecula
 
CA
 
Riverside-San Bernardino-Ontario, CA
 
2003
 
201,904

 
96.3
%
 
2,898

 
14.90

 
Stater Bros.
 
Rite Aid, Stein Mart
 
 
34

 
Country Hills Shopping Center
 
Torrance
 
CA
 
Los Angeles-Long Beach-Anaheim, CA
 
1977
 
56,750

 
100.0
%
 
1,013

 
19.04

 
Ralphs (Kroger)
 
 
 
35

 
Gateway Plaza - Vallejo
 
Vallejo
 
CA
 
Vallejo-Fairfield, CA
 
1991
 
495,239

 
95.4
%
 
7,921

 
16.85

 
Costco*
 
Bed Bath & Beyond, Century Theatres, Marshalls, Michaels, Office Max, Party City, Petco, Ross Dress for Less, Toys"R"Us
 
Target
36

 
Arvada Plaza
 
Arvada
 
CO
 
Denver-Aurora-Lakewood, CO
 
1994
 
95,236

 
100.0
%
 
722

 
7.58

 
King Soopers (Kroger)
 
Arc
 
 
37

 
Arapahoe Crossings
 
Aurora
 
CO
 
Denver-Aurora-Lakewood, CO
 
2016
 
466,356

 
99.4
%
 
6,302

 
13.60

 
King Soopers (Kroger)
 
2nd & Charles, AMC Theatres, Big Lots, buybuy BABY, Gordmans, Kohl's, Stein Mart
 
 
38

 
Aurora Plaza
 
Aurora
 
CO
 
Denver-Aurora-Lakewood, CO
 
1996
 
178,491

 
98.1
%
 
1,473

 
8.72

 
King Soopers (Kroger)
 
Cinema Latino, Gen-X
 
 
39

 
Villa Monaco
 
Denver
 
CO
 
Denver-Aurora-Lakewood, CO
 
2013
 
122,139

 
92.3
%
 
1,561

 
13.84

 
 
 
 
40

 
Superior Marketplace
 
Superior
 
CO
 
Boulder, CO
 
2016
 
279,189

 
81.8
%
 
3,833

 
16.78

 
Whole Foods Market, Costco*, SuperTarget*
 
Party City, T.J.Maxx, Ulta
 
 
41

 
Westminster City Center
 
Westminster
 
CO
 
Denver-Aurora-Lakewood, CO
 
2014
 
335,470

 
93.9
%
 
4,661

 
14.80

 
 
Babies"R"Us, Barnes & Noble, Gordmans, Jo-Ann Fabric & Craft Stores, Ross Dress for Less, Tile Shop, Ulta
 
 
42

 
Freshwater - Stateline Plaza
 
Enfield
 
CT
 
Hartford-West Hartford-East Hartford, CT
 
2004
 
295,647

 
95.9
%
 
2,418

 
16.47

 
Costco
 
Dick's Sporting Goods, Jo-Ann Fabric & Craft Stores, P.C. Richard & Son
 
The Home Depot
43

 
The Shoppes at Fox Run
 
Glastonbury
 
CT
 
Hartford-West Hartford-East Hartford, CT
 
2012
 
106,364

 
91.4
%
 
2,365

 
24.33

 
Whole Foods Market
 
Petco
 
 
44

 
Groton Square
 
Groton
 
CT
 
Norwich-New London, CT
 
1987
 
196,802

 
96.8
%
 
2,604

 
13.67

 
Super Stop & Shop (Ahold)
 
Kohl's
 
Walmart
45

 
Parkway Plaza
 
Hamden
 
CT
 
New Haven-Milford, CT
 
2006
 
72,353

 
100.0
%
 
1,015

 
14.03

 
PriceRite (Wakefern)
 
 
 
46

 
Killingly Plaza
 
Killingly
 
CT
 
Worcester, MA-CT
 
1990
 
76,960

 
98.7
%
 
609

 
8.02

 
 
Kohl's
 
 
47

 
The Manchester Collection
 
Manchester
 
CT
 
Hartford-West Hartford-East Hartford, CT
 
2015
 
339,775

 
93.0
%
 
4,433

 
14.03

 
Sam's Club*, Walmart Supercenter*
 
A.C. Moore, Ashley Furniture, Babies"R"Us, Bed Bath & Beyond, Big Bob's Flooring Outlet, DSW, Edge Fitness, Hobby Lobby, Men's Wearhouse, Plaza Aztec
 
Walmart
48

 
Chamberlain Plaza
 
Meriden
 
CT
 
New Haven-Milford, CT
 
2004
 
54,302

 
100.0
%
 
592

 
10.90

 
 
Dollar Tree, Savers
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 36




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
49

 
Milford Center
 
Milford
 
CT
 
New Haven-Milford, CT
 
1966
 
25,056

 
100.0
%
 
341

 
13.61

 
 
 
 
50

 
Turnpike Plaza
 
Newington
 
CT
 
Hartford-West Hartford-East Hartford, CT
 
2004
 
149,894

 
100.0
%
 
2,507

 
16.73

 
Price Chopper
 
Dick's Sporting Goods
 
 
51

 
North Haven Crossing
 
North Haven
 
CT
 
New Haven-Milford, CT
 
2015
 
104,017

 
88.4
%
 
1,632

 
17.75

 
 
Barnes & Noble, Dollar Tree, DSW, Five Below, Lumber Liquidators, PetSmart
 
 
52

 
Christmas Tree Plaza
 
Orange
 
CT
 
New Haven-Milford, CT
 
1996
 
132,791

 
96.6
%
 
1,809

 
14.10

 
 
A.C. Moore, Christmas Tree Shops
 
 
53

 
Stratford Square
 
Stratford
 
CT
 
Bridgeport-Stamford-Norwalk, CT
 
2015
 
160,536

 
87.9
%
 
2,431

 
17.22

 
 
LA Fitness, Marshalls
 
 
54

 
Torrington Plaza
 
Torrington
 
CT
 
Torrington, CT
 
1994
 
125,496

 
85.5
%
 
1,209

 
11.27

 
 
Jo-Ann Fabric & Craft Stores, Staples, T.J.Maxx
 
 
55

 
Waterbury Plaza
 
Waterbury
 
CT
 
New Haven-Milford, CT
 
2000
 
183,706

 
92.1
%
 
2,201

 
13.05

 
Super Stop & Shop (Ahold)
 
Dollar Tree, Pretty Woman
 
Target
56

 
Waterford Commons
 
Waterford
 
CT
 
Norwich-New London, CT
 
2004
 
236,730

 
97.4
%
 
4,389

 
19.04

 
 
Babies"R"Us, Dick’s Sporting Goods, DSW, Michaels, Party City, Ulta
 
Best Buy
57

 
North Dover Center
 
Dover
 
DE
 
Dover, DE
 
2013
 
191,974

 
100.0
%
 
2,334

 
12.16

 
Acme (Albertsons)
 
Party City, Staples, T.J.Maxx, Toys"R"Us
 
 
58

 
Brooksville Square
 
Brooksville
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2013
 
156,361

 
96.6
%
 
1,653

 
10.94

 
Publix
 
Sears Outlet
 
 
59

 
Coastal Way - Coastal Landing
 
Brooksville
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2008
 
372,218

 
97.4
%
 
3,481

 
16.29

 
 
Bed Bath & Beyond, Belk, hhgregg, Marshalls, Michaels, Office Depot, Petco, Sears, Ulta
 
 
60

 
Midpoint Center
 
Cape Coral
 
FL
 
Cape Coral-Fort Myers, FL
 
2002
 
75,386

 
100.0
%
 
1,008

 
13.37

 
Publix
 
 
Target
61

 
Clearwater Mall
 
Clearwater
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2012
 
300,929

 
98.7
%
 
6,372

 
22.59

 
Costco*, SuperTarget*
 
hhgregg, Michaels, PetSmart, Ross Dress for Less
 
Lowe's
62

 
Coconut Creek Plaza
 
Coconut Creek
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
2005
 
265,671

 
85.4
%
 
3,077

 
13.55

 
Publix
 
Bealls Outlet, Big Lots, Off the Wall Trampoline, Planet Fitness, Rainbow
 
 
63

 
Century Plaza Shopping Center
 
Deerfield Beach
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
2006
 
81,514

 
94.1
%
 
1,531

 
19.95

 
 
Broward County Library
 
 
64

 
Northgate Shopping Center
 
DeLand
 
FL
 
Deltona-Daytona Beach-Ormond Beach, FL
 
1993
 
186,396

 
97.9
%
 
1,298

 
7.11

 
Publix
 
 
 
65

 
Eustis Village
 
Eustis
 
FL
 
Orlando-Kissimmee-Sanford, FL
 
2002
 
156,927

 
96.9
%
 
1,733

 
11.40

 
Publix
 
Bealls Outlet
 
 
66

 
First Street Village
 
Fort Meyers
 
FL
 
Cape Coral-Fort Myers, FL
 
2006
 
54,926

 
97.3
%
 
795

 
14.88

 
Publix
 
 
 
67

 
Sun Plaza
 
Ft. Walton Beach
 
FL
 
Crestview-Fort Walton Beach-Destin, FL
 
2004
 
158,118

 
99.1
%
 
1,638

 
10.45

 
Publix
 
Bealls Outlet, Books-A-Million, Office Depot, T.J.Maxx
 
 
68

 
Normandy Square
 
Jacksonville
 
FL
 
Jacksonville, FL
 
1996
 
87,240

 
88.4
%
 
736

 
9.54

 
Winn-Dixie (Southeastern Grocers)
 
Family Dollar
 
 
69

 
Regency Park Shopping Center
 
Jacksonville
 
FL
 
Jacksonville, FL
 
2016
 
334,065

 
72.1
%
 
1,840

 
8.40

 
 
American Signature Furniture, Bealls Outlet, Books-A-Million, Hard Knocks, Ollie's Bargain Outlet
 
 
70

 
The Shoppes at Southside
 
Jacksonville
 
FL
 
Jacksonville, FL
 
2016
 
109,113

 
100.0
%
 
1,886

 
17.29

 
 
Best Buy, David's Bridal, Restoration Hardware Outlet
 
 
71

 
Ventura Downs
 
Kissimmee
 
FL
 
Orlando-Kissimmee-Sanford, FL
 
2005
 
98,191

 
98.6
%
 
1,274

 
13.16

 
 
 
 
72

 
Marketplace at Wycliffe
 
Lake Worth
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
2015
 
133,520

 
97.6
%
 
2,195

 
16.85

 
Walmart Neighborhood Market
 
Walgreens
 
 
73

 
Venetian Isle Shopping Ctr
 
Lighthouse Point
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
1992
 
182,314

 
95.6
%
 
1,863

 
11.01

 
Publix
 
Dollar Tree, Petco, Staples, Tuesday Morning, T.J.Maxx
 
 
74

 
Marco Town Center
 
Marco Island
 
FL
 
Naples-Immokalee-Marco Island, FL
 
2001
 
109,931

 
88.7
%
 
2,016

 
20.69

 
Publix
 
 
 
75

 
Mall at 163rd Street
 
Miami
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
2007
 
339,478

 
72.8
%
 
3,699

 
18.75

 
Walmart Supercenter*
 
Citi Trends, Marshalls, Ross Dress for Less
 
 
76

 
Miami Gardens
 
Miami
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
1996
 
244,719

 
98.8
%
 
2,543

 
10.52

 
Winn-Dixie (Southeastern Grocers)
 
Ross Dress for Less
 
 
77

 
Freedom Square
 
Naples
 
FL
 
Naples-Immokalee-Marco Island, FL
 
1995
 
211,839

 
100.0
%
 
1,928

 
9.10

 
Publix
 
 
 
78

 
Naples Plaza
 
Naples
 
FL
 
Naples-Immokalee-Marco Island, FL
 
2013
 
200,820

 
98.2
%
 
3,350

 
17.28

 
Publix
 
Marshalls, Office Depot, PGA TOUR Superstore
 
 
79

 
Park Shore Plaza
 
Naples
 
FL
 
Naples-Immokalee-Marco Island, FL
 
2016
 
249,390

 
90.6
%
 
3,585

 
16.26

 
The Fresh Market
 
Big Lots, Burlington Stores, HomeGoods, Party City, Saks OFF Fifth
 
 
80

 
Chelsea Place
 
New Port Richey
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
1992
 
81,144

 
95.1
%
 
933

 
12.09

 
Publix
 
Zone Fitness Club
 
 
81

 
Southgate Center
 
New Port Richey
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2012
 
246,980

 
96.9
%
 
2,424

 
10.58

 
Publix
 
Bealls Outlet, Big Lots, Lumber Liquidators, Old Time Pottery, Pet Supermarket, YouFit Health Club
 
 
82

 
Presidential Plaza West
 
North Lauderdale
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
2006
 
88,306

 
88.3
%
 
805

 
10.32

 
Sedano's
 
Family Dollar
 
 
83

 
Fashion Square
 
Orange Park
 
FL
 
Jacksonville, FL
 
1996
 
36,029

 
50.4
%
 
391

 
30.31

 
 
Miller's Orange Park Ale House, Ruby Tuesday, Samurai Japanese Steakhouse
 
 
84

 
Colonial Marketplace
 
Orlando
 
FL
 
Orlando-Kissimmee-Sanford, FL
 
2014
 
141,069

 
98.5
%
 
2,343

 
16.86

 
 
Burlington Stores, LA Fitness
 
Target
85

 
Conway Crossing
 
Orlando
 
FL
 
Orlando-Kissimmee-Sanford, FL
 
2002
 
76,321

 
98.7
%
 
961

 
12.76

 
Publix
 
 
 
86

 
Hunter's Creek Plaza
 
Orlando
 
FL
 
Orlando-Kissimmee-Sanford, FL
 
1998
 
73,204

 
93.4
%
 
1,024

 
14.97

 
 
Office Depot
 
 
87

 
Pointe Orlando
 
Orlando
 
FL
 
Orlando-Kissimmee-Sanford, FL
 
2016
 
417,444

 
91.8
%
 
8,160

 
22.30

 
 
Main Event, Regal Cinemas
 
 
88

 
Martin Downs Town Center
 
Palm City
 
FL
 
Port St. Lucie, FL
 
1996
 
64,546

 
95.7
%
 
726

 
11.76

 
Publix
 
 
 
89

 
Martin Downs Village Center
 
Palm City
 
FL
 
Port St. Lucie, FL
 
1987
 
154,964

 
84.9
%
 
2,395

 
18.21

 
 
Coastal Care, Goodwill, Walgreens
 
 
90

 
23rd Street Station
 
Panama City
 
FL
 
Panama City, FL
 
1995
 
98,827

 
95.2
%
 
1,157

 
12.30

 
Publix
 
 
 
91

 
Panama City Square
 
Panama City
 
FL
 
Panama City, FL
 
2015
 
298,685

 
100.0
%
 
2,433

 
8.15

 
Walmart Supercenter
 
Big Lots, Harbor Freight Tools, Sports Authority, T.J.Maxx
 
 
92

 
Pensacola Square
 
Pensacola
 
FL
 
Pensacola-Ferry Pass-Brent, FL
 
1995
 
142,767

 
89.5
%
 
1,163

 
9.69

 
 
Bealls Outlet, Big Lots, Petland, Sears Home Appliance Showroom
 
Hobby Lobby
93

 
Shopper's Haven Shopping Ctr
 
Pompano Beach
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
1998
 
206,791

 
98.5
%
 
2,711

 
13.73

 
Winn-Dixie (Southeastern Grocers)
 
A.C. Moore, Bealls Outlet, Bed Bath & Beyond, Party City, YouFit Health Club
 
 
94

 
East Port Plaza
 
Port St. Lucie
 
FL
 
Port St. Lucie, FL
 
1991
 
162,831

 
82.0
%
 
1,779

 
13.32

 
Publix
 
Fortis Institute, Walgreens
 
 
95

 
Shoppes of Victoria Square
 
Port St. Lucie
 
FL
 
Port St. Lucie, FL
 
1990
 
95,243

 
83.1
%
 
940

 
11.88

 
Winn-Dixie (Southeastern Grocers)
 
Dollar Tree
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 37




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
96

 
Lake St. Charles
 
Riverview
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
1999
 
57,015

 
95.4
%
 
557

 
10.24

 
Winn-Dixie (Southeastern Grocers)
 
 
 
97

 
Cobblestone Village
 
Royal Palm Beach
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
2005
 
39,404

 
83.8
%
 
604

 
18.29

 
SuperTarget*
 
The Zoo Health Club
 
 
98

 
Beneva Village Shoppes
 
Sarasota
 
FL
 
North Port-Sarasota-Bradenton, FL
 
1987
 
141,532

 
88.1
%
 
1,557

 
12.49

 
Publix
 
Harbor Freight Tools, Walgreens
 
 
99

 
Sarasota Village
 
Sarasota
 
FL
 
North Port-Sarasota-Bradenton, FL
 
2011
 
173,184

 
100.0
%
 
2,034

 
12.04

 
Publix
 
Big Lots, Crunch Fitness, HomeGoods
 
 
100

 
Atlantic Plaza
 
Satellite Beach
 
FL
 
Palm Bay-Melbourne-Titusville, FL
 
2008
 
130,845

 
71.6
%
 
1,217

 
12.99

 
Publix
 
 
 
101

 
Seminole Plaza
 
Seminole
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2016
 
156,579

 
95.4
%
 
1,194

 
7.99

 
 
Bealls Outlet, Burlington Stores, T.J.Maxx
 
 
102

 
Cobblestone Village
 
St. Augustine
 
FL
 
Jacksonville, FL
 
2015
 
261,061

 
92.4
%
 
3,234

 
13.41

 
Publix
 
Bealls, Bed Bath & Beyond, Michaels, Party City, Petco
 
 
103

 
Dolphin Village
 
St. Pete Beach
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
1990
 
134,324

 
82.4
%
 
1,621

 
14.65

 
Publix
 
CVS, Dollar Tree
 
 
104

 
Bay Pointe Plaza
 
St. Petersburg
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2016
 
95,560

 
96.7
%
 
1,140

 
12.34

 
Publix
 
Bealls Outlet, Pet Supermarket
 
 
105

 
Rutland Plaza
 
St. Petersburg
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2002
 
149,562

 
95.0
%
 
1,235

 
8.69

 
Winn-Dixie (Southeastern Grocers)
 
Bealls Outlet, Big Lots
 
 
106

 
Skyway Plaza
 
St. Petersburg
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2002
 
110,799

 
90.8
%
 
886

 
9.08

 
 
Dollar Tree
 
 
107

 
Tyrone Gardens
 
St. Petersburg
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
1998
 
209,337

 
85.1
%
 
1,586

 
8.91

 
Winn-Dixie (Southeastern Grocers)
 
Bealls Outlet, Big Lots, Chuck E. Cheese’s
 
 
108

 
Downtown Publix
 
Stuart
 
FL
 
Port St. Lucie, FL
 
2000
 
151,246

 
56.0
%
 
1,055

 
12.46

 
Publix
 
Family Dollar
 
 
109

 
Sunrise Town Center
 
Sunrise
 
FL
 
Miami-Fort Lauderdale-West Palm Beach, FL
 
1989
 
110,109

 
94.2
%
 
1,285

 
12.39

 
Patel Brothers
 
Dollar Tree, LA Fitness
 
Walmart
110

 
Carrollwood Center
 
Tampa
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2002
 
90,558

 
93.3
%
 
1,355

 
16.04

 
Publix
 
Rarehues
 
 
111

 
Ross Plaza
 
Tampa
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
1996
 
90,625

 
99.2
%
 
1,221

 
13.58

 
 
Deal$, Ross Dress for Less, Lumber Liquidators
 
 
112

 
Tarpon Mall
 
Tarpon Springs
 
FL
 
Tampa-St. Petersburg-Clearwater, FL
 
2003
 
145,832

 
97.6
%
 
2,120

 
14.90

 
Publix
 
Petco, T.J.Maxx, Ulta
 
 
113

 
Venice Plaza
 
Venice
 
FL
 
North Port-Sarasota-Bradenton, FL
 
1999
 
132,345

 
98.3
%
 
911

 
7.00

 
Winn-Dixie (Southeastern Grocers)
 
Lumber Liquidators, Pet Supermarket, T.J.Maxx
 
 
114

 
Venice Shopping Center
 
Venice
 
FL
 
North Port-Sarasota-Bradenton, FL
 
2000
 
109,801

 
84.7
%
 
585

 
6.29

 
Publix
 
Bealls Outlet
 
 
115

 
Governors Towne Square
 
Acworth
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2005
 
68,658

 
96.8
%
 
1,148

 
17.27

 
Publix
 
 
 
116

 
Albany Plaza
 
Albany
 
GA
 
Albany, GA
 
1995
 
114,169

 
75.1
%
 
542

 
6.32

 
Harveys (Southeastern Grocers)
 
Big Lots, OK Beauty & Fashions Outlet
 
 
117

 
Mansell Crossing
 
Alpharetta
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2015
 
332,364

 
98.6
%
 
5,057

 
19.25

 
 
AMC Theatres, Barnes & Noble, DSW, Macy's Furniture Gallery, REI, Sports Authority, T.J.Maxx, Ulta
 
Toys"R"Us
118

 
Perlis Plaza
 
Americus
 
GA
 
Americus, GA
 
1972
 
165,315

 
84.0
%
 
793

 
5.71

 
 
Belk, Roses
 
 
119

 
Northeast Plaza
 
Atlanta
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2015
 
442,201

 
95.9
%
 
4,677

 
11.17

 
City Farmers Market
 
Atlanta Ballroom Dance Club, dd's Discounts (Ross), Goodwill
 
 
120

 
Augusta West Plaza
 
Augusta
 
GA
 
Augusta-Richmond County, GA-SC
 
2006
 
207,823

 
68.3
%
 
1,067

 
7.52

 
 
Burlington Stores, Dollar Tree
 
 
121

 
Sweetwater Village
 
Austell
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1985
 
66,197

 
97.8
%
 
501

 
7.74

 
Food Depot
 
Family Dollar
 
 
122

 
Vineyards at Chateau Elan
 
Braselton
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2002
 
79,047

 
89.4
%
 
989

 
13.99

 
Publix
 
 
 
123

 
Cedar Plaza
 
Cedartown
 
GA
 
Cedartown, GA
 
1994
 
83,300

 
76.5
%
 
546

 
8.57

 
Kroger
 
 
 
124

 
Conyers Plaza
 
Conyers
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2001
 
171,374

 
99.1
%
 
2,027

 
11.94

 
Walmart Supercenter*
 
Jo-Ann Fabric & Craft Stores, Mattress Firm, PetSmart, Value Village
 
The Home Depot
125

 
Cordele Square
 
Cordele
 
GA
 
Cordele, GA
 
2002
 
127,953

 
85.8
%
 
722

 
6.58

 
Harveys (Southeastern Grocers)
 
Belk, Citi Trends, Cordele Theatres
 
 
126

 
Covington Gallery
 
Covington
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1991
 
174,857

 
94.3
%
 
1,090

 
6.61

 
Ingles
 
Kmart
 
 
127

 
Salem Road Station
 
Covington
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2000
 
67,270

 
96.4
%
 
747

 
11.52

 
Publix
 
 
 
128

 
Keith Bridge Commons
 
Cumming
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2002
 
94,886

 
89.4
%
 
1,126

 
13.28

 
Kroger
 
Anytime Fitness
 
 
129

 
Northside
 
Dalton
 
GA
 
Dalton, GA
 
2001
 
73,931

 
91.4
%
 
543

 
8.04

 
Food City
 
Family Dollar
 
 
130

 
Cosby Station
 
Douglasville
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1994
 
77,811

 
90.8
%
 
779

 
11.03

 
Publix
 
 
 
131

 
Park Plaza
 
Douglasville
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1986
 
46,494

 
78.1
%
 
594

 
16.36

 
Kroger*
 
 
 
132

 
Dublin Village
 
Dublin
 
GA
 
Dublin, GA
 
2005
 
94,920

 
97.3
%
 
691

 
7.49

 
Kroger
 
 
 
133

 
Westgate
 
Dublin
 
GA
 
Dublin, GA
 
2004
 
113,138

 
94.0
%
 
677

 
6.60

 
Harveys (Southeastern Grocers)
 
Bealls Outlet, Big Lots
 
The Home Depot
134

 
Venture Pointe
 
Duluth
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2012
 
155,172

 
89.0
%
 
1,428

 
10.34

 
 
American Signature Furniture, Ollie's Bargain Outlet, Studio Movie Grill
 
 
135

 
Banks Station
 
Fayetteville
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2006
 
176,451

 
87.8
%
 
1,133

 
8.42

 
Food Depot
 
Cinemark, Staples
 
 
136

 
Barrett Place
 
Kennesaw
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1994
 
218,818

 
100.0
%
 
2,175

 
9.94

 
 
Best Buy, Michaels, OfficeMax, PetSmart, Sports Authority, The Furniture Mall
 
 
137

 
Shops of Huntcrest
 
Lawrenceville
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2003
 
97,040

 
97.9
%
 
1,305

 
13.73

 
Publix
 
 
 
138

 
Mableton Walk
 
Mableton
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1994
 
105,884

 
80.4
%
 
1,084

 
12.73

 
Publix
 
 
 
139

 
The Village at Mableton
 
Mableton
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2015
 
239,013

 
91.3
%
 
1,062

 
5.01

 
 
Dollar Tree, Kmart, Ollie's Bargain Outlet, Planet Fitness
 
 
140

 
North Park
 
Macon
 
GA
 
Macon, GA
 
2013
 
216,795

 
98.8
%
 
1,364

 
6.37

 
Kroger
 
Kmart
 
 
141

 
Marshalls at Eastlake
 
Marietta
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1982
 
54,976

 
97.8
%
 
524

 
9.74

 
 
Marshalls
 
 
142

 
New Chastain Corners
 
Marietta
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2004
 
113,079

 
81.8
%
 
911

 
9.85

 
Kroger
 
 
 
143

 
Pavilions at Eastlake
 
Marietta
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1996
 
154,224

 
87.8
%
 
1,652

 
12.20

 
Kroger
 
J. Christopher's
 
 
144

 
Perry Marketplace
 
Perry
 
GA
 
Warner Robins, GA
 
2004
 
179,973

 
78.4
%
 
999

 
7.08

 
Kroger
 
Ace Hardware, Bealls Outlet, Goody's
 
 
145

 
Creekwood Village
 
Rex
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1990
 
69,778

 
85.2
%
 
494

 
8.31

 
Food Depot
 
 
 
146

 
Shops of Riverdale
 
Riverdale
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1995
 
16,808

 
82.2
%
 
268

 
19.41

 
Walmart Supercenter*
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 38




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
147

 
Holcomb Bridge Crossing
 
Roswell
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
1988
 
105,420

 
94.0
%
 
965

 
9.74

 
 
PGA TOUR Superstore
 
 
148

 
Victory Square
 
Savannah
 
GA
 
Savannah, GA
 
2007
 
122,739

 
95.4
%
 
1,733

 
15.16

 
SuperTarget*
 
Citi Trends, Dollar Tree, Frank Theatres, Staples
 
The Home Depot
149

 
Stockbridge Village
 
Stockbridge
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2008
 
188,135

 
88.4
%
 
2,527

 
15.19

 
Kroger
 
 
 
150

 
Stone Mountain Festival
 
Stone Mountain
 
GA
 
Atlanta-Sandy Springs-Roswell, GA
 
2006
 
347,091

 
95.9
%
 
1,749

 
5.26

 
Walmart Supercenter
 
Hobby Lobby, NCG Cinemas
 
 
151

 
Wilmington Island
 
Wilmington Island
 
GA
 
Savannah, GA
 
2016
 
101,462

 
92.7
%
 
1,062

 
11.29

 
Kroger
 
 
 
152

 
Kimberly West Shopping Center
 
Davenport
 
IA
 
Davenport-Moline-Rock Island, IA-IL
 
1987
 
113,713

 
87.3
%
 
607

 
6.11

 
Hy-Vee
 
 
 
153

 
Haymarket Mall
 
Des Moines
 
IA
 
Des Moines-West Des Moines, IA
 
2002
 
243,680

 
98.0
%
 
1,409

 
6.03

 
 
Burlington Stores, Hobby Lobby
 
 
154

 
Haymarket Square
 
Des Moines
 
IA
 
Des Moines-West Des Moines, IA
 
2002
 
268,205

 
82.7
%
 
1,407

 
6.34

 
Price Chopper
 
Big Lots, Northern Tool + Equipment, Office Depot
 
 
155

 
Warren Plaza
 
Dubuque
 
IA
 
Dubuque, IA
 
1993
 
96,339

 
88.2
%
 
626

 
7.37

 
Hy-Vee
 
 
Target
156

 
Annex of Arlington
 
Arlington Heights
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2015
 
192,904

 
90.6
%
 
2,930

 
16.76

 
Trader Joe's
 
Binny's Beverage Depot, Chuck E. Cheese's, hhgregg, Petco, Ulta
 
 
157

 
Ridge Plaza
 
Arlington Heights
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2000
 
151,643

 
90.5
%
 
2,008

 
14.64

 
 
Savers, XSport Fitness
 
Kohl's
158

 
Bartonville Square
 
Bartonville
 
IL
 
Peoria, IL
 
2001
 
61,678

 
100.0
%
 
358

 
6.14

 
Kroger
 
 
 
159

 
Festival Center
 
Bradley
 
IL
 
Kankakee, IL
 
2006
 
63,796

 
100.0
%
 
417

 
6.54

 
 
Big Lots, Dollar General
 
 
160

 
Southfield Plaza
 
Bridgeview
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2006
 
198,331

 
86.3
%
 
1,866

 
10.91

 
Shop & Save Market
 
Hobby Lobby, Walgreens
 
 
161

 
Commons of Chicago Ridge
 
Chicago Ridge
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
1998
 
324,977

 
94.8
%
 
4,039

 
23.50

 
 
Marshalls, Office Depot, The Home Depot, XSport Fitness
 
 
162

 
Rivercrest Shopping Center
 
Crestwood
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2016
 
547,531

 
93.6
%
 
5,716

 
14.27

 
Ultra Foods
 
AMC, Best Buy, Five Below, Party City, PetSmart, Ross Dress for Less, T.J.Maxx
 
 
163

 
The Commons of Crystal Lake
 
Crystal Lake
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2015
 
273,060

 
86.3
%
 
2,353

 
9.98

 
Jewel-Osco (Albertsons)
 
Burlington Stores
 
Hobby Lobby
164

 
Elk Grove Town Center
 
Elk Grove Village
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
1998
 
131,794

 
98.6
%
 
2,135

 
16.42

 
 
Walgreens
 
 
165

 
Crossroads Centre
 
Fairview Heights
 
IL
 
St. Louis, MO-IL
 
2016
 
242,198

 
91.9
%
 
2,041

 
9.17

 
Ruler Foods (Kroger)
 
Big Lots, Sky Zone, T.J.Maxx
 
 
166

 
Frankfort Crossing Shopping Center
Frankfort
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
1992
 
114,534

 
96.3
%
 
1,419

 
12.86

 
Jewel-Osco (Albertsons)
 
Ace Hardware
 
 
167

 
Freeport Plaza
 
Freeport
 
IL
 
Freeport, IL
 
2000
 
87,846

 
88.3
%
 
503

 
6.49

 
Cub Foods (Supervalu)
 
 
 
168

 
Westview Center
 
Hanover Park
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2015
 
326,422

 
93.5
%
 
2,699

 
9.15

 
Tony's Finer Foods
 
Big Lots, LA Fitness, Sears Outlet
 
Value City
169

 
The Quentin Collection
 
Kildeer
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2006
 
171,530

 
97.3
%
 
2,774

 
16.62

 
The Fresh Market
 
Best Buy, DSW, PetSmart, Stein Mart
 
 
170

 
Butterfield Square
 
Libertyville
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2013
 
106,755

 
98.8
%
 
1,581

 
15.00

 
Sunset Foods
 
 
 
171

 
High Point Centre
 
Lombard
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
1992
 
240,096

 
77.5
%
 
1,653

 
8.89

 
Ultra Foods
 
Jo-Ann Fabric & Craft Stores, Office Depot
 
 
172

 
Long Meadow Commons
 
Mundelein
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
1997
 
118,470

 
84.9
%
 
1,510

 
15.92

 
Jewel-Osco
 
 
 
173

 
Westridge Court
 
Naperville
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2015
 
680,553

 
96.2
%
 
8,103

 
12.38

 
 
Art Van Furniture, Big Lots, buybuy BABY, Gordmans, hhgregg, Marshalls, Old Navy, Party City, Savers, Star Cinema Grill, Savers, Turk Furniture, Ulta
 
 
174

 
Sterling Bazaar
 
Peoria
 
IL
 
Peoria, IL
 
1992
 
87,359

 
92.0
%
 
754

 
9.96

 
Kroger
 
 
 
175

 
Rollins Crossing
 
Round Lake Beach
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
1998
 
192,849

 
96.3
%
 
1,994

 
17.64

 
 
LA Fitness, Regal Cinemas
 
 
176

 
Twin Oaks Shopping Center
 
Silvis
 
IL
 
Davenport-Moline-Rock Island, IA-IL
 
1991
 
114,342

 
97.6
%
 
730

 
6.54

 
Hy-Vee
 
Eye Surgeons Associates
 
 
177

 
Parkway Pointe
 
Springfield
 
IL
 
Springfield, IL
 
1994
 
38,737

 
85.9
%
 
580

 
17.42

 
ALDI*
 
dressbarn, Family Christian Stores, Shoe Carnival
 
Target, Walmart
178

 
Sangamon Center North
 
Springfield
 
IL
 
Springfield, IL
 
1996
 
139,907

 
94.9
%
 
1,255

 
9.46

 
Schnucks
 
U.S. Post Office
 
 
179

 
Tinley Park Plaza
 
Tinley Park
 
IL
 
Chicago-Naperville-Elgin, IL-IN-WI
 
2016
 
248,077

 
72.7
%
 
2,236

 
12.41

 
Walt's Fine Foods
 
Planet Fitness, Tile Shop
 
 
180

 
Meridian Village
 
Carmel
 
IN
 
Indianapolis-Carmel-Anderson, IN
 
1990
 
130,769

 
81.4
%
 
876

 
8.23

 
 
Dollar Tree, Godby Home Furnishings, Ollie's Bargain Outlet
 
 
181

 
Columbus Center
 
Columbus
 
IN
 
Columbus, IN
 
2005
 
143,050

 
100.0
%
 
1,567

 
10.95

 
 
Big Lots, MC Sports, OfficeMax, T.J.Maxx
 
Target
182

 
Elkhart Plaza West
 
Elkhart
 
IN
 
Elkhart-Goshen, IN
 
1997
 
81,651

 
91.2
%
 
574

 
7.71

 
Martin's Super Market
 
CVS
 
 
183

 
Apple Glen Crossing
 
Fort Wayne
 
IN
 
Fort Wayne, IN
 
2002
 
150,163

 
96.5
%
 
1,973

 
17.12

 
Walmart Supercenter*
 
Best Buy, Dick's Sporting Goods, PetSmart
 
Kohl's
184

 
Market Centre
 
Goshen
 
IN
 
Elkhart-Goshen, IN
 
1994
 
363,883

 
97.6
%
 
2,307

 
9.39

 
Sam's Club
 
Walmart
 
 
185

 
Marwood Plaza
 
Indianapolis
 
IN
 
Indianapolis-Carmel-Anderson, IN
 
1992
 
107,080

 
76.1
%
 
703

 
8.63

 
Kroger
 
 
 
186

 
Westlane Shopping Center
 
Indianapolis
 
IN
 
Indianapolis-Carmel-Anderson, IN
 
2016
 
71,602

 
100.0
%
 
653

 
9.12

 
Save-A-Lot
 
Citi Trends
 
 
187

 
Valley View Plaza
 
Marion
 
IN
 
Marion, IN
 
1997
 
29,974

 
83.0
%
 
336

 
13.51

 
Walmart Supercenter*
 
Aaron's
 
 
188

 
Bittersweet Plaza
 
Mishawaka
 
IN
 
South Bend-Mishawaka, IN-MI
 
2000
 
91,798

 
90.4
%
 
727

 
8.76

 
Martin's Super Market
 
 
 
189

 
Lincoln Plaza
 
New Haven
 
IN
 
Fort Wayne, IN
 
1968
 
103,938

 
60.7
%
 
515

 
8.16

 
Kroger
 
 
 
190

 
Speedway Super Center
 
Speedway
 
IN
 
Indianapolis-Carmel-Anderson, IN
 
2015
 
571,967

 
80.0
%
 
4,104

 
9.02

 
Kroger
 
Kohl's, Oak Street Health Center, Petco, Sears Outlet, T.J.Maxx
 
 
191

 
Sagamore Park Centre
 
West Lafayette
 
IN
 
Lafayette-West Lafayette, IN
 
2003
 
117,550

 
90.3
%
 
1,086

 
10.23

 
Pay Less (Kroger)
 
 
 
192

 
Westchester Square
 
Lenexa
 
KS
 
Kansas City, MO-KS
 
1987
 
155,518

 
86.6
%
 
1,177

 
8.74

 
Hy-Vee
 
 
 
193

 
West Loop Shopping Center
 
Manhattan
 
KS
 
Manhattan, KS
 
2013
 
212,261

 
94.8
%
 
1,768

 
14.24

 
Dillons (Kroger)
 
Bellus Academy, Jo-Ann Fabric & Craft Stores, Marshalls
 
 
194

 
Green River Plaza
 
Campbellsville
 
KY
 
Campbellsville, KY
 
1989
 
203,239

 
96.6
%
 
1,416

 
7.21

 
Kroger
 
Burke's Outlet, Goody’s, JC Penney, Jo-Ann Fabric & Craft Stores, Tractor Supply Co.
 
 
195

 
North Dixie Plaza
 
Elizabethtown
 
KY
 
Elizabethtown-Fort Knox, KY
 
1992
 
130,466

 
100.0
%
 
877

 
6.72

 
 
Kmart
 
 
196

 
Florence Plaza - Florence Square
 
Florence
 
KY
 
Cincinnati, OH-KY-IN
 
2015
 
686,487

 
98.7
%
 
7,243

 
13.42

 
Kroger
 
Barnes & Noble, Burlington Stores, Harbor Freight Tools, Hobby Lobby, Old Navy, Ollie's Bargain Outlet, Staples, T.J.Maxx
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 39




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
197

 
Highland Commons
 
Glasgow
 
KY
 
Glasgow, KY
 
1992
 
130,466

 
100.0
%
 
775

 
5.94

 
Food Lion (Delhaize)
 
Kmart
 
 
198

 
Jeffersontown Commons
 
Jeffersontown
 
KY
 
Louisville/Jefferson County, KY-IN
 
2016
 
208,374

 
93.8
%
 
1,754

 
9.46

 
 
King Pin Lanes, Louisville Athletic Club, Savers
 
 
199

 
Mist Lake Plaza
 
Lexington
 
KY
 
Lexington-Fayette, KY
 
1993
 
217,292

 
97.0
%
 
1,512

 
7.18

 
 
Gabriel Brothers, Walmart
 
 
200

 
London Marketplace
 
London
 
KY
 
London, KY
 
1994
 
169,032

 
99.1
%
 
1,118

 
6.68

 
Kroger
 
Goody's, Kmart
 
 
201

 
Eastgate Shopping Center
 
Louisville
 
KY
 
Louisville/Jefferson County, KY-IN
 
2002
 
174,947

 
100.0
%
 
1,934

 
11.06

 
Kroger
 
Petco
 
 
202

 
Plainview Village
 
Louisville
 
KY
 
Louisville/Jefferson County, KY-IN
 
1997
 
165,467

 
93.1
%
 
1,475

 
10.11

 
Kroger
 
Annie's Attic, Tuesday Morning
 
 
203

 
Stony Brook I & II
 
Louisville
 
KY
 
Louisville/Jefferson County, KY-IN
 
2016
 
158,940

 
99.4
%
 
1,969

 
12.46

 
Kroger Marketplace
 
 
 
204

 
Towne Square North
 
Owensboro
 
KY
 
Owensboro, KY
 
1988
 
163,161

 
100.0
%
 
1,287

 
7.89

 
 
Books-A-Million, Hobby Lobby, Office Depot
 
 
205

 
Lexington Road Plaza
 
Versailles
 
KY
 
Lexington-Fayette, KY
 
2007
 
197,668

 
95.3
%
 
1,288

 
6.84

 
 
Kmart
 
 
206

 
Karam Shopping Center
 
Lafayette
 
LA
 
Lafayette, LA
 
2015
 
100,120

 
83.8
%
 
276

 
3.29

 
Super 1 Foods
 
dd's Discounts (Ross)
 
 
207

 
Iberia Plaza
 
New Iberia
 
LA
 
Lafayette, LA
 
1992
 
131,731

 
99.9
%
 
956

 
7.26

 
Super 1 Foods
 
 
 
208

 
Lagniappe Village
 
New Iberia
 
LA
 
Lafayette, LA
 
2010
 
201,360

 
98.5
%
 
1,589

 
8.01

 
 
Big Lots, Citi Trends, Stage, T.J.Maxx
 
 
209

 
The Pines Shopping Center
 
Pineville
 
LA
 
Alexandria, LA
 
1991
 
179,039

 
97.8
%
 
1,091

 
6.23

 
Super 1 Foods
 
Kmart
 
 
210

 
Points West Plaza
 
Brockton
 
MA
 
Boston-Cambridge-Newton, MA-NH
 
2016
 
133,432

 
98.6
%
 
1,098

 
8.35

 
PriceRite (Wakefern)
 
Citi Trends, L&M Bargain, Ocean State Job Lot
 
 
211

 
Burlington Square I, II & III
 
Burlington
 
MA
 
Boston-Cambridge-Newton, MA-NH
 
1992
 
74,800

 
94.6
%
 
1,891

 
26.73

 
 
Golf Galaxy, Pyara Aveda Spa & Salon, Staples
 
 
212

 
Chicopee Marketplace
 
Chicopee
 
MA
 
Springfield, MA
 
2005
 
151,003

 
100.0
%
 
2,716

 
18.63

 
Walmart Supercenter*
 
Marshalls, Party City, Staples
 
 
213

 
Holyoke Shopping Center
 
Holyoke
 
MA
 
Springfield, MA
 
2000
 
195,795

 
94.6
%
 
1,472

 
11.61

 
Super Stop & Shop (Ahold)
 
Jo-Ann Fabric & Craft Stores, Ocean State Job Lot
 
 
214

 
WaterTower Plaza
 
Leominster
 
MA
 
Worcester, MA-CT
 
2000
 
282,591

 
89.7
%
 
3,100

 
12.23

 
Shaw's (Albertsons)
 
Barnes & Noble, Michaels, Petco, Staples, T.J.Maxx
 
 
215

 
Lunenberg Crossing
 
Lunenburg
 
MA
 
Worcester, MA-CT
 
1994
 
25,515

 
58.8
%
 
247

 
16.47

 
Hannaford Bros. (Delhaize)*
 
 
Walmart
216

 
Lynn Marketplace
 
Lynn
 
MA
 
Boston-Cambridge-Newton, MA-NH
 
1968
 
78,092

 
100.0
%
 
1,137

 
14.56

 
Shaw's (Albertsons)
 
Rainbow
 
 
217

 
Webster Square Shopping Center
 
Marshfield
 
MA
 
Boston-Cambridge-Newton, MA-NH
 
2005
 
182,734

 
97.9
%
 
2,200

 
12.30

 
Star Market (Albertsons)
 
Marshalls, Ocean State Job Lot
 
 
218

 
Berkshire Crossing
 
Pittsfield
 
MA
 
Pittsfield, MA
 
1994
 
442,354

 
96.9
%
 
3,857

 
20.89

 
Market 32
 
Barnes & Noble, Michaels, Staples, The Home Depot, Ulta, Walmart
 
 
219

 
Westgate Plaza
 
Westfield
 
MA
 
Springfield, MA
 
1996
 
103,903

 
98.7
%
 
1,164

 
11.69

 
 
Ocean State Job Lot, Staples, T.J.Maxx
 
 
220

 
Perkins Farm Marketplace
 
Worcester
 
MA
 
Worcester, MA-CT
 
2015
 
204,038

 
74.7
%
 
1,854

 
21.75

 
Super Stop & Shop (Ahold)
 
Citi Trends, Fallas Paredes
 
 
221

 
South Plaza Shopping Center
 
California
 
MD
 
California-Lexington Park, MD
 
2005
 
92,335

 
100.0
%
 
1,802

 
19.52

 
 
Best Buy, Old Navy, Petco, Ross Dress for Less
 
 
222

 
Campus Village Shoppes
 
College Park
 
MD
 
Washington-Arlington-Alexandria, DC-VA-MD-WV
1986
 
25,529

 
100.0
%
 
713

 
27.93

 
 
 
 
223

 
Fox Run
 
Prince Frederick
 
MD
 
Washington-Arlington-Alexandria, DC-VA-MD-WV
1997
 
292,849

 
100.0
%
 
3,120

 
10.65

 
Giant Food (Ahold)
 
Jo-Ann Fabric & Craft Stores, Kmart, Peebles
 
 
224

 
Liberty Plaza
 
Randallstown
 
MD
 
Baltimore-Columbia-Towson, MD
 
2012
 
218,862

 
100.0
%
 
2,636

 
12.04

 
Walmart Supercenter
 
Marshalls
 
 
225

 
Rising Sun Towne Centre
 
Rising Sun
 
MD
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2013
 
146,852

 
100.0
%
 
1,796

 
12.52

 
Martin's Food (Ahold)
 
Big Lots
 
 
226

 
Pine Tree Shopping Center
 
Portland
 
ME
 
Portland-South Portland, ME
 
1958
 
287,513

 
99.3
%
 
1,957

 
16.70

 
 
Big Lots, Dollar Tree, Jo-Ann Fabric & Craft Stores, Lowe's
 
 
227

 
Maple Village
 
Ann Arbor
 
MI
 
Ann Arbor, MI
 
2016
 
287,387

 
84.9
%
 
2,890

 
11.96

 
Plum Market
 
Dunham's Sports, HomeGoods, Sierra Trading Post, Stein Mart
 
 
228

 
Grand Crossing
 
Brighton
 
MI
 
Detroit-Warren-Dearborn, MI
 
2005
 
85,389

 
100.0
%
 
893

 
10.46

 
VG's Food (SpartanNash)
 
ACE Hardware
 
 
229

 
Farmington Crossroads
 
Farmington
 
MI
 
Detroit-Warren-Dearborn, MI
 
2013
 
79,191

 
92.9
%
 
746

 
10.14

 
 
Dollar Tree, Ollie's Bargain Outlet, True Value
 
 
230

 
Silver Pointe Shopping Center
 
Fenton
 
MI
 
Flint, MI
 
1996
 
160,943

 
87.5
%
 
1,789

 
12.70

 
VG's Food (SpartanNash)
 
Dunham's Sports, Glik's
 
 
231

 
Cascade East
 
Grand Rapids
 
MI
 
Grand Rapids-Wyoming, MI
 
1983
 
99,529

 
76.2
%
 
549

 
7.24

 
D&W Fresh Market (SpartanNash)
 
 
 
232

 
Delta Center
 
Lansing
 
MI
 
Lansing-East Lansing, MI
 
2016
 
186,246

 
96.1
%
 
1,486

 
8.30

 
 
Bed Bath & Beyond, DXL Destination XL, Hobby Lobby, Planet Fitness
 
 
233

 
Lakes Crossing
 
Muskegon
 
MI
 
Muskegon, MI
 
2011
 
110,997

 
84.9
%
 
1,403

 
16.28

 
 
Jo-Ann Fabric & Craft Stores, Party City, Shoe Carnival, Ulta
 
Kohl's
234

 
Redford Plaza
 
Redford
 
MI
 
Detroit-Warren-Dearborn, MI
 
1992
 
285,386

 
95.4
%
 
2,548

 
9.35

 
Kroger
 
Ace Hardware, Burlington Stores, CW Price, Dollar Tree
 
 
235

 
Hampton Village Centre
 
Rochester Hills
 
MI
 
Detroit-Warren-Dearborn, MI
 
2004
 
454,377

 
96.3
%
 
5,950

 
18.00

 
 
Best Buy, DSW, Emagine Theatre, Kohl's, Old Navy, T.J.Maxx, Ulta
 
Target
236

 
Fashion Corners
 
Saginaw
 
MI
 
Saginaw, MI
 
2004
 
184,735

 
100.0
%
 
1,833

 
9.92

 
 
Bed Bath & Beyond, Best Buy, Dunham's Sports, Guitar Center, Harbor Freight Tools
 
 
237

 
Green Acres
 
Saginaw
 
MI
 
Saginaw, MI
 
2011
 
281,646

 
67.2
%
 
1,430

 
13.91

 
Kroger
 
Planet Fitness, Rite Aid
 
 
238

 
Hall Road Crossing
 
Shelby Township
 
MI
 
Detroit-Warren-Dearborn, MI
 
1999
 
175,503

 
95.9
%
 
2,296

 
13.64

 
 
Gander Mountain, Michaels, Old Navy, T.J.Maxx, Ulta
 
 
239

 
Southfield Plaza
 
Southfield
 
MI
 
Detroit-Warren-Dearborn, MI
 
2015
 
101,724

 
100.0
%
 
1,164

 
11.44

 
 
Party City, Planet Fitness
 
Burlington Stores
240

 
18 Ryan
 
Sterling Heights
 
MI
 
Detroit-Warren-Dearborn, MI
 
1997
 
101,709

 
100.0
%
 
1,464

 
14.39

 
VG's Food (SpartanNash)
 
O'Reilly Auto Parts, Planet Fitness
 
 
241

 
Delco Plaza
 
Sterling Heights
 
MI
 
Detroit-Warren-Dearborn, MI
 
1996
 
154,853

 
100.0
%
 
973

 
6.28

 
 
Babies"R"Us, Bed Bath & Beyond, Dunham's Mega Sports
 
 
242

 
Grand Traverse Crossing
 
Traverse City
 
MI
 
Traverse City, MI
 
1996
 
412,755

 
98.6
%
 
2,792

 
27.13

 
Walmart Supercenter
 
Books-A-Million, PetSmart, Staples, The Home Depot, Toys"R"Us, Ulta
 
 
243

 
West Ridge
 
Westland
 
MI
 
Detroit-Warren-Dearborn, MI
 
2015
 
162,874

 
52.3
%
 
984

 
11.55

 
 
Bed Bath & Beyond, Party City, Petco
 
Burlington Stores, Target
244

 
Roundtree Place
 
Ypsilanti
 
MI
 
Ann Arbor, MI
 
1992
 
246,620

 
97.1
%
 
1,128

 
12.98

 
Walmart Supercenter
 
Harbor Freight Tools, Ollie's Bargain Outlet
 
 
245

 
Washtenaw Fountain Plaza
 
Ypsilanti
 
MI
 
Ann Arbor, MI
 
2005
 
124,095

 
97.6
%
 
869

 
7.17

 
Save-A-Lot
 
Dollar Tree, Dunham's Sports, Planet Fitness
 
 
246

 
Southport Centre I - VI
 
Apple Valley
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
1985
 
124,937

 
99.0
%
 
2,069

 
16.72

 
SuperTarget*
 
Best Buy, Dollar Tree, Walgreens
 
 
247

 
Austin Town Center
 
Austin
 
MN
 
Austin, MN
 
1999
 
108,486

 
73.7
%
 
480

 
7.39

 
ALDI
 
Jo-Ann Fabric & Craft Stores
 
Target

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 40




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
248

 
Burning Tree Plaza
 
Duluth
 
MN
 
Duluth, MN-WI
 
1987
 
182,969

 
98.6
%
 
2,005

 
11.12

 
 
Best Buy, Dunham's Sports, Jo-Ann Fabric & Craft Stores, T.J.Maxx
 
 
249

 
Elk Park Center
 
Elk River
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
1999
 
204,992

 
91.0
%
 
1,934

 
10.36

 
Cub Foods (Jerry's Foods)
 
OfficeMax
 
 
250

 
Westwind Plaza
 
Minnetonka
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
2007
 
87,942

 
95.0
%
 
1,377

 
16.48

 
Cub Foods (Supervalu)*
 
 
 
251

 
Richfield Hub
 
Richfield
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
2015
 
213,595

 
91.7
%
 
2,322

 
11.86

 
Rainbow Foods (Jerry's Foods)
 
FLEX Academy, Marshalls, Michaels
 
 
252

 
Roseville Center
 
Roseville
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
2000
 
69,537

 
57.2
%
 
625

 
15.87

 
Cub Foods (Supervalu)*
 
Dollar Tree
 
 
253

 
Marketplace @ 42
 
Savage
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
2016
 
114,505

 
97.8
%
 
1,748

 
15.60

 
Fresh Thyme Farmers Market
 
Marshalls
 
 
254

 
Sun Ray Shopping Center
 
St. Paul
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
2013
 
291,020

 
91.3
%
 
2,467

 
12.34

 
Cub Foods (Supervalu)
 
T.J.Maxx, Valu Thrift Store
 
 
255

 
White Bear Hills Shopping Center
 
White Bear Lake
 
MN
 
Minneapolis-St. Paul-Bloomington, MN-WI
 
1996
 
73,095

 
98.4
%
 
702

 
9.76

 
Festival Foods
 
Dollar Tree
 
 
256

 
Ellisville Square
 
Ellisville
 
MO
 
St. Louis, MO-IL
 
2015
 
137,006

 
94.5
%
 
1,623

 
12.54

 
 
Michaels, Party City, The Sports Authority
 
 
257

 
Clocktower Place
 
Florissant
 
MO
 
St. Louis, MO-IL
 
2016
 
207,317

 
89.3
%
 
1,412

 
7.76

 
ALDI
 
Florissant Furniture & Rug Gallery, K&G Fashion Superstore, Ross Dress for Less
 
 
258

 
Hub Shopping Center
 
Independence
 
MO
 
Kansas City, MO-KS
 
1995
 
160,423

 
92.5
%
 
805

 
5.79

 
Price Chopper
 
 
 
259

 
Watts Mill Plaza
 
Kansas City
 
MO
 
Kansas City, MO-KS
 
1997
 
161,717

 
92.2
%
 
1,282

 
8.60

 
Price Chopper
 
Ace Hardware
 
 
260

 
Liberty Corners
 
Liberty
 
MO
 
Kansas City, MO-KS
 
1987
 
124,808

 
90.2
%
 
957

 
8.50

 
Price Chopper
 
 
 
261

 
Maplewood Square
 
Maplewood
 
MO
 
St. Louis, MO-IL
 
1998
 
71,590

 
91.5
%
 
449

 
6.85

 
Shop 'n Save (Supervalu)
 
 
 
262

 
Clinton Crossing
 
Clinton
 
MS
 
Jackson, MS
 
1990
 
112,148

 
100.0
%
 
1,083

 
10.17

 
Kroger
 
 
 
263

 
County Line Plaza
 
Jackson
 
MS
 
Jackson, MS
 
2016
 
221,127

 
94.5
%
 
2,413

 
11.55

 
 
Burke's Outlet, Burlington Stores, Conn's, Kirkland's, Tuesday Morning
 
 
264

 
Jacksonian Plaza
 
Jackson
 
MS
 
Jackson, MS
 
1990
 
73,041

 
100.0
%
 
562

 
7.86

 
Kroger*
 
Books-A-Million, Goodwill Select, Office Depot
 
 
265

 
Devonshire Place
 
Cary
 
NC
 
Raleigh, NC
 
2012
 
106,680

 
100.0
%
 
1,442

 
13.81

 
 
Dollar Tree, Golf Galaxy, REI
 
 
266

 
McMullen Creek Market
 
Charlotte
 
NC
 
Charlotte-Concord-Gastonia, NC-SC
 
2016
 
272,910

 
89.4
%
 
3,113

 
12.77

 
Walmart Neighborhood Market
 
Burlington Stores, Dollar Tree, Rugged Wearhouse, Staples
 
 
267

 
The Commons at Chancellor Park
 
Charlotte
 
NC
 
Charlotte-Concord-Gastonia, NC-SC
 
2015
 
348,604

 
83.5
%
 
1,651

 
8.91

 
 
Big Lots, Gabe's, The Home Depot, Value City Furniture
 
 
268

 
Macon Plaza
 
Franklin
 
NC
 
 
2001
 
92,787

 
94.1
%
 
472

 
5.41

 
BI-LO (Southeastern Grocers)
 
Peebles
 
 
269

 
Garner Towne Square
 
Garner
 
NC
 
Raleigh, NC
 
1997
 
184,347

 
92.7
%
 
2,045

 
11.96

 
Kroger
 
OfficeMax, PetSmart
 
Target, The Home Depot
270

 
Franklin Square
 
Gastonia
 
NC
 
Charlotte-Concord-Gastonia, NC-SC
 
2015
 
317,705

 
84.1
%
 
3,034

 
12.83

 
Walmart Supercenter*
 
Bed Bath & Beyond, Best Buy, Dollar Tree, Michaels, Ross Dress for Less
 
 
271

 
Wendover Place
 
Greensboro
 
NC
 
Greensboro-High Point, NC
 
2000
 
406,768

 
100.0
%
 
4,994

 
14.36

 
 
Babies"R"Us, Christmas Tree Shops, Dick's Sporting Goods, Kohl's, Old Navy, PetSmart
 
Ross Dress for Less, Target
272

 
University Commons
 
Greenville
 
NC
 
Greenville, NC
 
2014
 
233,153

 
96.8
%
 
2,969

 
13.16

 
Harris Teeter (Kroger)
 
A.C. Moore, Barnes & Noble, Petco, T.J.Maxx
 
Target
273

 
Valley Crossing
 
Hickory
 
NC
 
Hickory-Lenoir-Morganton, NC
 
2014
 
191,431

 
100.0
%
 
1,714

 
8.95

 
 
Academy Sports + Outdoors, Dollar Tree, Fallas Paredes, Harbor Freight Tools, Ollie's Bargain Outlet
 
 
274

 
Kinston Pointe
 
Kinston
 
NC
 
Kinston, NC
 
2001
 
250,580

 
99.7
%
 
911

 
3.65

 
Walmart Supercenter
 
Dollar Tree
 
 
275

 
Magnolia Plaza
 
Morganton
 
NC
 
Hickory-Lenoir-Morganton, NC
 
1990
 
104,539

 
38.6
%
 
192

 
4.76

 
Ingles
 
 
 
276

 
Roxboro Square
 
Roxboro
 
NC
 
Durham-Chapel Hill, NC
 
2005
 
97,226

 
93.1
%
 
1,370

 
15.14

 
 
Person County Health & Human Services
 
 
277

 
Innes Street Market
 
Salisbury
 
NC
 
Charlotte-Concord-Gastonia, NC-SC
 
2002
 
349,425

 
98.5
%
 
3,763

 
10.94

 
Food Lion (Delhaize)
 
Lowe's, Marshalls, Old Navy, PetSmart, Staples, Tinseltown
 
 
278

 
Salisbury Marketplace
 
Salisbury
 
NC
 
Charlotte-Concord-Gastonia, NC-SC
 
1987
 
79,732

 
72.7
%
 
619

 
10.68

 
Food Lion (Delhaize)
 
Family Dollar
 
 
279

 
Crossroads
 
Statesville
 
NC
 
Charlotte-Concord-Gastonia, NC-SC
 
1997
 
340,189

 
98.3
%
 
2,075

 
6.20

 
Walmart Supercenter
 
Big Lots, Burkes Outlet, Tractor Supply
 
 
280

 
Anson Station
 
Wadesboro
 
NC
 
 
1988
 
132,353

 
67.1
%
 
543

 
6.11

 
Food Lion (Delhaize)
 
Peebles, Tractor Supply Co.
 
 
281

 
New Centre Market
 
Wilmington
 
NC
 
Wilmington, NC
 
1998
 
143,762

 
97.5
%
 
1,979

 
14.52

 
 
OfficeMax, PetSmart, Sportsmans Warehouse
 
Target
282

 
University Commons
 
Wilmington
 
NC
 
Wilmington, NC
 
2007
 
235,345

 
97.8
%
 
3,338

 
14.50

 
Lowes Foods
 
A.C. Moore, HomeGoods, T.J.Maxx
 
 
283

 
Whitaker Square
 
Winston Salem
 
NC
 
Winston-Salem, NC
 
1996
 
82,760

 
97.9
%
 
1,193

 
14.73

 
Harris Teeter (Kroger)
 
 
 
284

 
Parkway Plaza
 
Winston-Salem
 
NC
 
Winston-Salem, NC
 
2005
 
283,830

 
92.9
%
 
2,900

 
11.57

 
Super Compare Foods
 
Big Lots, Citi Trends, Office Depot
 
 
285

 
Stratford Commons
 
Winston-Salem
 
NC
 
Winston-Salem, NC
 
1995
 
72,308

 
94.8
%
 
960

 
14.00

 
 
Golf Galaxy, Mattress Firm, OfficeMax
 
 
286

 
Bedford Grove
 
Bedford
 
NH
 
Manchester-Nashua, NH
 
1989
 
216,941

 
95.7
%
 
1,917

 
21.68

 
 
Walmart
 
 
287

 
Capitol Shopping Center
 
Concord
 
NH
 
Concord, NH
 
2001
 
182,887

 
100.0
%
 
1,994

 
11.16

 
DeMoulas Supermarkets
 
Burlington Stores, Jo-Ann Fabric & Craft Stores, Marshalls
 
 
288

 
Willow Springs Plaza
 
Nashua
 
NH
 
Manchester-Nashua, NH
 
2016
 
131,248

 
100.0
%
 
2,319

 
19.26

 
 
JC Penney, New Hampshire Liquor and Wine Outlet, Petco
 
The Home Depot
289

 
Seacoast Shopping Center
 
Seabrook
 
NH
 
Boston-Cambridge-Newton, MA-NH
 
1991
 
91,690

 
25.3
%
 
145

 
17.68

 
 
Jo-Ann Fabric & Craft Stores
 
 
290

 
Tri-City Plaza
 
Somersworth
 
NH
 
Boston-Cambridge-Newton, MA-NH
 
1990
 
150,004

 
98.9
%
 
1,420

 
9.58

 
Market Basket (DeMoulas Supermarkets)
 
T.J.Maxx
 
 
291

 
Laurel Square
 
Brick
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
2015
 
246,235

 
66.1
%
 
1,141

 
7.61

 
A&P**
 
Kmart, Planet Fitness
 
 
292

 
the Shoppes at Cinnaminson
 
Cinnaminson
 
NJ
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2010
 
296,109

 
95.5
%
 
4,112

 
21.60

 
ShopRite
 
Burlington Stores, Ross Dress For Less
 
 
293

 
Acme Clark
 
Clark
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
2007
 
52,812

 
100.0
%
 
1,357

 
25.70

 
Acme (Albertsons)
 
 
 
294

 
Collegetown Shopping Center
 
Glassboro
 
NJ
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2015
 
250,408

 
97.5
%
 
2,182

 
8.94

 
 
Kmart, LA Fitness, Staples
 
 
295

 
Hamilton Plaza
 
Hamilton
 
NJ
 
Trenton, NJ
 
2015
 
148,919

 
98.0
%
 
1,067

 
7.31

 
 
Hibachi Grill & Supreme Buffet, Kmart, Planet Fitness
 
 
296

 
Bennetts Mills Plaza
 
Jackson
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
2002
 
127,230

 
87.8
%
 
1,467

 
32.91

 
Super Stop & Shop (Ahold)
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 41




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
297

 
Lakewood Plaza
 
Lakewood
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
1966
 
202,210

 
100.0
%
 
3,136

 
15.60

 
Gourmet Glatt Market
 
Dollar Tree
 
 
298

 
Marlton Crossing
 
Marlton
 
NJ
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2013
 
332,664

 
93.8
%
 
5,065

 
16.23

 
 
Burlington Stores, DSW, HomeGoods, Michaels, T.J. Maxx
 
 
299

 
Middletown Plaza
 
Middletown
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
2001
 
197,066

 
95.1
%
 
3,730

 
20.18

 
ShopRite
 
Petco, Rite Aid
 
 
300

 
Larchmont Centre
 
Mount Laurel
 
NJ
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1985
 
103,787

 
93.8
%
 
1,255

 
12.89

 
ShopRite
 
 
 
301

 
Old Bridge Gateway
 
Old Bridge
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
1995
 
246,120

 
95.2
%
 
4,110

 
17.53

 
Bhavani Food Market
 
Marshalls, Modell's Sporting Goods, Pep Boys, Petco, Robert Wood Johnson Fitness
 
 
302

 
Morris Hills Shopping Center
 
Parsippany
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
1994
 
159,561

 
97.6
%
 
2,970

 
19.08

 
 
Blink Fitness (Equinox), Clearview Cinema Group, HomeGoods, Marshalls
 
 
303

 
Rio Grande Plaza
 
Rio Grande
 
NJ
 
Ocean City, NJ
 
1997
 
141,330

 
87.8
%
 
1,431

 
11.53

 
ShopRite*
 
JC Penney, Peebles, PetSmart
 
 
304

 
Ocean Heights Plaza
 
Somers Point
 
NJ
 
Atlantic City-Hammonton, NJ
 
2006
 
179,199

 
100.0
%
 
3,367

 
18.79

 
ShopRite
 
Pier 1 Imports, Staples
 
 
305

 
ShopRite Supermarket
 
Springfield
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
1965
 
32,209

 
100.0
%
 
389

 
12.08

 
ShopRite
 
 
 
306

 
Tinton Falls Plaza
 
Tinton Falls
 
NJ
 
New York-Newark-Jersey City, NY-NJ-PA
 
2006
 
98,410

 
80.1
%
 
1,312

 
16.64

 
Acme (Albertsons)*
 
Dollar Tree, WOW! Fitness
 
 
307

 
Cross Keys Commons
 
Turnersville
 
NJ
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1996
 
216,623

 
90.2
%
 
3,137

 
16.06

 
Walmart Supercenter*
 
Marshalls, Party City, Ross Dress for Less, Staples
 
 
308

 
Dover Park Plaza
 
Yardville
 
NJ
 
Trenton, NJ
 
2005
 
56,751

 
84.9
%
 
735

 
15.26

 
 
CVS, Dollar Tree
 
 
309

 
St Francis Plaza
 
Santa Fe
 
NM
 
Santa Fe, NM
 
1993
 
35,800

 
100.0
%
 
460

 
12.85

 
Whole Foods Market
 
Walgreens
 
 
310

 
Smith's
 
Socorro
 
NM
 
 
1976
 
48,000

 
100.0
%
 
506

 
10.54

 
 
 
 
311

 
Galleria Commons
 
Henderson
 
NV
 
Las Vegas-Henderson-Paradise, NV
 
2015
 
278,411

 
100.0
%
 
3,194

 
11.61

 
 
Babies"R"Us, Burlington Stores, Kirkland’s, Stein Mart, T.J.Maxx, Tuesday Morning
 
 
312

 
Montecito Marketplace
 
Las Vegas
 
NV
 
Las Vegas-Henderson-Paradise, NV
 
2006
 
190,434

 
100.0
%
 
3,841

 
20.17

 
Smith's (Kroger)
 
T.J.Maxx
 
 
313

 
Renaissance Center East
 
Las Vegas
 
NV
 
Las Vegas-Henderson-Paradise, NV
 
2012
 
144,216

 
80.5
%
 
1,326

 
11.43

 
 
Savers
 
 
314

 
Parkway Plaza
 
Carle Place
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1993
 
89,704

 
100.0
%
 
2,624

 
29.25

 
 
Minado, Stew Leonard's Wines, T.J.Maxx
 
 
315

 
Erie Canal Centre
 
Dewitt
 
NY
 
Syracuse, NY
 
2016
 
115,500

 
65.4
%
 
981

 
13.00

 
 
Dick's Sporting Goods
 
 
316

 
Unity Plaza
 
East Fishkill
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2005
 
67,462

 
100.0
%
 
1,407

 
20.86

 
Acme (Albertsons) *
 
 
 
317

 
Suffolk Plaza
 
East Setauket
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1998
 
84,480

 
27.8
%
 
691

 
29.43

 
BJ's Wholesale*, Walmart Supercenter*
 
 
Kohl's
318

 
Three Village Shopping Center
 
East Setauket
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1991
 
77,458

 
92.6
%
 
1,825

 
25.44

 
 
Ace Hardware
 
 
319

 
Stewart Plaza
 
Garden City
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1990
 
193,622

 
90.2
%
 
2,872

 
16.44

 
 
Burlington Stores, K&G Fashion Superstore
 
 
320

 
Genesee Valley Shopping Center
 
Geneseo
 
NY
 
Rochester, NY
 
2007
 
191,314

 
90.3
%
 
1,641

 
9.80

 
Wegmans
 
Peebles, Tractor Supply Co.
 
 
321

 
McKinley Plaza
 
Hamburg
 
NY
 
Buffalo-Cheektowaga-Niagara Falls, NY
 
1991
 
95,544

 
97.1
%
 
1,406

 
15.55

 
Wegmans*
 
A.C. Moore, T.J.Maxx
 
 
322

 
Dalewood I, II & III Shopping Center
 
Hartsdale
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2012
 
191,441

 
100.0
%
 
6,363

 
33.96

 
H-Mart, Best Market
 
Christmas Tree Shops, Rite Aid, T.J.Maxx
 
 
323

 
Hornell Plaza
 
Hornell
 
NY
 
Corning, NY
 
2005
 
253,335

 
100.0
%
 
2,092

 
8.26

 
Wegmans
 
Walmart
 
 
324

 
Cayuga Mall
 
Ithaca
 
NY
 
Ithaca, NY
 
2013
 
204,830

 
84.0
%
 
1,506

 
8.75

 
 
Big Lots, Jo-Ann Fabric & Craft Stores, Party City, Rite Aid, True Value
 
 
325

 
Kings Park Plaza
 
Kings Park
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1985
 
71,942

 
97.4
%
 
1,682

 
24.01

 
Key Food Marketplace
 
T.J.Maxx
 
 
326

 
Village Square Shopping Center
 
Larchmont
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1981
 
17,000

 
100.0
%
 
576

 
33.88

 
Trader Joe's
 
 
 
327

 
Falcaro's Plaza
 
Lawrence
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1972
 
61,118

 
100.0
%
 
1,291

 
21.12

 
 
Advance Auto Parts
 
 
328

 
Shops at Seneca Mall
 
Liverpool
 
NY
 
Syracuse, NY
 
2005
 
230,924

 
66.7
%
 
691

 
4.48

 
 
Big Lots, Kmart
 
Raymour & Flanigan
329

 
Mamaroneck Centre
 
Mamaroneck
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2016
 
24,978

 
49.0
%
 
514

 
42.02

 
A&P**
 
 
 
330

 
Sunshine Square
 
Medford
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2007
 
223,322

 
90.9
%
 
2,728

 
19.80

 
Super Stop & Shop (Ahold)
 
Planet Fitness
 
 
331

 
Wallkill Plaza
 
Middletown
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2012
 
209,960

 
93.0
%
 
1,928

 
10.19

 
 
Ashley Furniture, Big Lots, Citi Trends, Hobby Lobby
 
 
332

 
Monroe ShopRite Plaza
 
Monroe
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1985
 
122,007

 
100.0
%
 
1,887

 
15.47

 
ShopRite
 
Retro Fitness, Rite Aid, U.S. Post Office
 
 
333

 
Rockland Plaza
 
Nanuet
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2006
 
251,537

 
96.3
%
 
6,364

 
26.28

 
A Matter of Health
 
Barnes & Noble, Lemon Pop, Marshalls, Modell's Sporting Goods, Petco
 
 
334

 
North Ridge Shopping Center
 
New Rochelle
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1971
 
31,870

 
100.0
%
 
1,176

 
36.90

 
 
Harmon Discount
 
 
335

 
Nesconset Shopping Center
 
Port Jefferson Station
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2012
 
122,996

 
95.9
%
 
2,416

 
20.48

 
 
Dollar Tree, HomeGoods
 
 
336

 
Port Washington
 
Port Washington
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1968
 
19,600

 
100.0
%
 
112

 
5.71

 
North Shore Farms
 
 
 
337

 
Roanoke Plaza
 
Riverhead
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2002
 
99,131

 
97.5
%
 
1,696

 
17.56

 
Best Yet Market
 
CVS, T.J.Maxx
 
 
338

 
Rockville Centre
 
Rockville Centre
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
1975
 
44,131

 
94.3
%
 
1,091

 
26.21

 
 
HomeGoods, Rite Aid
 
 
339

 
Mohawk Acres Plaza
 
Rome
 
NY
 
Utica-Rome, NY
 
2005
 
156,680

 
85.1
%
 
1,353

 
21.37

 
Price Chopper
 
 
 
340

 
College Plaza
 
Selden
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2016
 
180,182

 
96.7
%
 
3,065

 
18.06

 
ShopRite
 
A.C. Moore, Blink Fitness (Equinox), Bob's Stores
 
 
341

 
Campus Plaza
 
Vestal
 
NY
 
Binghamton, NY
 
2003
 
160,744

 
96.8
%
 
1,699

 
10.91

 
 
Olum's Furniture & Appliances, Rite Aid, Staples
 
 
342

 
Parkway Plaza
 
Vestal
 
NY
 
Binghamton, NY
 
2012
 
204,954

 
100.0
%
 
2,103

 
10.26

 
PriceRite (Wakefern)
 
Bed Bath & Beyond, Kohl's, PetSmart, Target
 
Target
343

 
Shoppes at Vestal
 
Vestal
 
NY
 
Binghamton, NY
 
2000
 
92,328

 
100.0
%
 
1,391

 
15.07

 
 
HomeGoods, Michaels, Old Navy
 
 
344

 
Town Square Mall
 
Vestal
 
NY
 
Binghamton, NY
 
2012
 
293,181

 
99.4
%
 
4,673

 
16.04

 
Sam's Club*, Walmart Supercenter*
 
A.C. Moore, AMC Cinemas, Barnes & Noble, Dick's Sporting Goods, DSW, T.J.Maxx, Ulta
 
 
345

 
The Plaza at Salmon Run
 
Watertown
 
NY
 
Watertown-Fort Drum, NY
 
1993
 
68,761

 
94.1
%
 
703

 
10.86

 
Hannaford Bros. (Delhaize)
 
Lowes, Pier 1 Imports
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 42




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
346

 
Highridge Plaza
 
Yonkers
 
NY
 
New York-Newark-Jersey City, NY-NJ-PA
 
2016
 
88,501

 
93.7
%
 
2,191

 
26.43

 
H-Mart
 
 
 
347

 
Brunswick Town Center
 
Brunswick
 
OH
 
Cleveland-Elyria, OH
 
2004
 
138,407

 
95.4
%
 
1,847

 
45.47

 
Giant Eagle
 
 
The Home Depot
348

 
30th Street Plaza
 
Canton
 
OH
 
Canton-Massillon, OH
 
1999
 
157,055

 
86.6
%
 
1,446

 
10.64

 
Giant Eagle, Marc's
 
 
 
349

 
Brentwood Plaza
 
Cincinnati
 
OH
 
Cincinnati, OH-KY-IN
 
2004
 
222,174

 
84.5
%
 
2,158

 
19.48

 
Kroger
 
Petco, Planet Fitness
 
 
350

 
Delhi Shopping Center
 
Cincinnati
 
OH
 
Cincinnati, OH-KY-IN
 
2012
 
164,750

 
96.1
%
 
1,365

 
8.63

 
Kroger
 
Pet Supplies Plus
 
 
351

 
Harpers Station
 
Cincinnati
 
OH
 
Cincinnati, OH-KY-IN
 
2015
 
252,233

 
98.5
%
 
3,428

 
13.79

 
Fresh Thyme Farmers Market
 
HomeGoods, LA Fitness, Pet Supplies Plus, Stein Mart, T.J.Maxx
 
 
352

 
Western Hills Plaza
 
Cincinnati
 
OH
 
Cincinnati, OH-KY-IN
 
2011
 
316,154

 
99.6
%
 
3,825

 
12.48

 
 
Bed Bath & Beyond, Michaels, Sears, Staples, T.J.Maxx
 
Target
353

 
Western Village
 
Cincinnati
 
OH
 
Cincinnati, OH-KY-IN
 
2005
 
115,116

 
100.0
%
 
1,143

 
29.71

 
Kroger
 
 
 
354

 
Crown Point
 
Columbus
 
OH
 
Columbus, OH
 
2016
 
144,931

 
95.9
%
 
1,374

 
10.10

 
Kroger
 
Dollar Tree, Planet Fitness
 
 
355

 
Greentree Shopping Center
 
Columbus
 
OH
 
Columbus, OH
 
2005
 
130,773

 
84.8
%
 
1,142

 
11.10

 
Kroger
 
 
 
356

 
Brandt Pike Place
 
Dayton
 
OH
 
Dayton, OH
 
2008
 
17,900

 
100.0
%
 
177

 
9.89

 
Kroger*
 
 
 
357

 
South Towne Centre
 
Dayton
 
OH
 
Dayton, OH
 
2013
 
333,960

 
99.4
%
 
4,284

 
13.84

 
Health Foods Unlimited
 
Burlington Stores, Christmas Tree Shops, Jo-Ann Fabric & Craft Stores, Party City, Petsmart, Value City Furniture
 
 
358

 
The Vineyards
 
Eastlake
 
OH
 
Cleveland-Elyria, OH
 
1989
 
144,820

 
90.2
%
 
722

 
5.53

 
 
Dollar Tree, Harbor Freight Tools
 
Walmart
359

 
Midway Market Square
 
Elyria
 
OH
 
Cleveland-Elyria, OH
 
2014
 
224,329

 
88.8
%
 
2,001

 
10.04

 
Giant Eagle
 
Dick's Sporting Goods, Jo-Ann Fabric & Craft Stores
 
Target, The Home Depot
360

 
Southland Shopping Center
 
Middleburg Heights
OH
 
Cleveland-Elyria, OH
 
2013
 
695,719

 
96.2
%
 
6,616

 
9.95

 
BJ's Wholesale Club, Giant Eagle, Marc's
 
Burlington Stores, Cleveland Furniture Bank, Jo-Ann Fabric & Craft Stores, Marshalls, Party City, Petco
 
 
361

 
The Shoppes at North Olmsted
 
North Olmsted
 
OH
 
Cleveland-Elyria, OH
 
2002
 
70,003

 
98.2
%
 
1,036

 
15.07

 
 
Ollie's Bargain Outlet, Sears Outlet
 
 
362

 
The Shoppes at North Ridgeville
 
North Ridgeville
 
OH
 
Cleveland-Elyria, OH
 
2002
 
57,857

 
97.9
%
 
819

 
14.46

 
 
Pat Catan's Craft Centers
 
 
363

 
Surrey Square Mall
 
Norwood
 
OH
 
Cincinnati, OH-KY-IN
 
2010
 
175,167

 
94.1
%
 
2,068

 
25.65

 
Kroger
 
Marshalls
 
 
364

 
Market Place
 
Piqua
 
OH
 
Dayton, OH
 
2012
 
182,824

 
93.0
%
 
683

 
7.12

 
Kroger
 
Roses
 
 
365

 
Brice Park
 
Reynoldsburg
 
OH
 
Columbus, OH
 
1989
 
158,565

 
89.4
%
 
1,266

 
9.72

 
 
Ashley Furniture, Citi Trends, Michaels
 
 
366

 
Streetsboro Crossing
 
Streetsboro
 
OH
 
Akron, OH
 
2002
 
89,436

 
100.0
%
 
683

 
7.64

 
Giant Eagle
 
 
Lowe's, Target
367

 
Miracle Mile Shopping Plaza
 
Toledo
 
OH
 
Toledo, OH
 
1955
 
315,515

 
79.3
%
 
1,912

 
13.29

 
Kroger
 
Aspire Fitness, Big Lots, Harbor Freight Tools
 
 
368

 
Southland Shopping Plaza
 
Toledo
 
OH
 
Toledo, OH
 
1988
 
290,892

 
85.2
%
 
1,527

 
6.16

 
Kroger
 
Big Lots, Planet Fitness, Shopper's World
 
 
369

 
Wadsworth Crossings
 
Wadsworth
 
OH
 
Cleveland-Elyria, OH
 
2005
 
115,066

 
95.1
%
 
1,809

 
16.53

 
 
Bed Bath & Beyond, MC Sports, OfficeMax, Petco
 
Kohl's, Lowe's, Target
370

 
Northgate Plaza
 
Westerville
 
OH
 
Columbus, OH
 
2008
 
15,219

 
100.0
%
 
246

 
16.16

 
Kroger*
 
 
The Home Depot
371

 
Marketplace
 
Tulsa
 
OK
 
Tulsa, OK
 
1992
 
186,851

 
100.0
%
 
1,769

 
9.47

 
 
Conn's, Drysdales, PetSmart
 
Best Buy, JC Penney Home Store
372

 
Village West
 
Allentown
 
PA
 
Allentown-Bethlehem-Easton, PA-NJ
 
1999
 
140,474

 
99.4
%
 
2,606

 
35.01

 
Giant Food (Ahold)
 
CVS
 
 
373

 
Park Hills Plaza
 
Altoona
 
PA
 
Altoona, PA
 
1985
 
278,586

 
88.9
%
 
2,140

 
8.64

 
Weis Markets
 
A.C. Moore, Dunham's Sports, Shoe Carnival, Toys"R"Us
 
 
374

 
Bensalem Square
 
Bensalem
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1986
 
70,378

 
100.0
%
 
744

 
10.57

 
Redner's Warehouse Market
 
 
 
375

 
Bethel Park Shopping Center
 
Bethel Park
 
PA
 
Pittsburgh, PA
 
2015
 
199,079

 
100.0
%
 
1,906

 
10.61

 
Giant Eagle
 
Walmart
 
 
376

 
Bethlehem Square
 
Bethlehem
 
PA
 
Allentown-Bethlehem-Easton, PA-NJ
 
1994
 
389,450

 
99.5
%
 
3,800

 
14.81

 
Giant Food (Ahold)
 
T.J.Maxx, The Home Depot, Walmart
 
 
377

 
Lehigh Shopping Center
 
Bethlehem
 
PA
 
Allentown-Bethlehem-Easton, PA-NJ
 
2013
 
378,358

 
97.3
%
 
3,363

 
11.45

 
Giant Food (Ahold)
 
Big Lots, Mega Marshalls, PetSmart, Rite Aid, Staples, Wells Fargo
 
 
378

 
Bristol Park
 
Bristol
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2013
 
283,653

 
98.9
%
 
2,408

 
8.59

 
Walmart Supercenter
 
 
 
379

 
Chalfont Village Shopping Center
 
Chalfont
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1989
 
46,051

 
77.7
%
 
427

 
11.93

 
 
 
 
380

 
New Britain Village Square
 
Chalfont
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1989
 
143,716

 
95.4
%
 
2,416

 
17.62

 
Giant Food (Ahold)
 
Tuesday Morning
 
 
381

 
Collegeville Shopping Center
 
Collegeville
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2004
 
110,696

 
49.3
%
 
809

 
14.81

 
 
Pep Boys, Rascal Fitness
 
 
382

 
Whitemarsh Shopping Center
 
Conshohocken
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2002
 
67,476

 
100.0
%
 
1,472

 
21.82

 
Giant Food (Ahold)
 
Wine & Spirits Shoppe
 
 
383

 
Valley Fair
 
Devon
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2001
 
105,086

 
100.0
%
 
1,038

 
9.88

 
 
Chuck E. Cheese's, Mealey's Furniture
 
 
384

 
Dickson City Crossings
 
Dickson City
 
PA
 
Scranton--Wilkes-Barre--Hazleton, PA
 
1997
 
312,699

 
100.0
%
 
3,213

 
15.38

 
 
Dick's Sporting Goods, hhgregg, Party City, PetSmart, T.J.Maxx, The Home Depot
 
 
385

 
Dillsburg Shopping Center
 
Dillsburg
 
PA
 
York-Hanover, PA
 
2014
 
153,088

 
93.3
%
 
1,814

 
12.96

 
Giant Food (Ahold)
 
Rite Aid, Tractor Supply Co.
 
 
386

 
Barn Plaza
 
Doylestown
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2002
 
237,681

 
100.0
%
 
3,355

 
14.12

 
 
Kohl's, Marshalls, Regal Cinemas
 
 
387

 
Pilgrim Gardens
 
Drexel Hill
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2014
 
75,223

 
100.0
%
 
1,298

 
17.26

 
 
Dollar Tree, Ross Dress for Less
 
 
388

 
Gilbertsville Shopping Center
 
Gilbertsville
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2002
 
85,576

 
97.8
%
 
787

 
9.40

 
Weis Markets
 
Wine & Spirits
 
 
389

 
Mount Carmel Plaza
 
Glenside
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1975
 
14,504

 
94.1
%
 
184

 
13.48

 
 
SGS Paper
 
 
390

 
Kline Plaza
 
Harrisburg
 
PA
 
Harrisburg-Carlisle, PA
 
1952
 
214,628

 
90.1
%
 
1,762

 
9.11

 
Giant Food (Ahold)
 
Citi Trends
 
 
391

 
New Garden Center
 
Kennett Square
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2012
 
144,920

 
96.2
%
 
999

 
7.32

 
 
Big Lots, Ollie's Bargain Outlet
 
 
392

 
Stone Mill Plaza
 
Lancaster
 
PA
 
Lancaster, PA
 
2008
 
106,736

 
99.3
%
 
1,276

 
12.04

 
Giant Food (Ahold)
 
 
 
393

 
Woodbourne Square
 
Langhorne
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1984
 
29,821

 
93.3
%
 
581

 
20.88

 
 
 
 
394

 
North Penn Market Place
 
Lansdale
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1977
 
58,358

 
73.2
%
 
831

 
21.25

 
Weis Markets*
 
 
 
395

 
New Holland Shopping Center
 
New Holland
 
PA
 
Lancaster, PA
 
1995
 
65,878

 
95.2
%
 
507

 
8.09

 
Grocery Outlet
 
Family Dollar
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 43




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
396

 
Village at Newtown
 
Newtown
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1989
 
177,185

 
85.0
%
 
3,920

 
26.02

 
McCaffrey's
 
Pier 1 Imports
 
 
397

 
Cherry Square
 
Northampton
 
PA
 
Allentown-Bethlehem-Easton, PA-NJ
 
1989
 
75,005

 
94.9
%
 
713

 
10.02

 
Redner's Warehouse Market
 
 
 
398

 
Ivyridge
 
Philadelphia
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2016
 
107,318

 
93.8
%
 
2,374

 
23.59

 
 
Target, Wine & Spirits
 
 
399

 
Roosevelt Mall
 
Philadelphia
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2011
 
561,863

 
99.6
%
 
8,305

 
34.33

 
 
Macy's, Modell's Sporting Goods, Ross Dress For Less
 
 
400

 
Shoppes at Valley Forge
 
Phoenixville
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2003
 
176,676

 
100.0
%
 
1,364

 
7.72

 
Redner's Warehouse Market
 
French Creek Outfitters, Staples
 
 
401

 
Plymouth Plaza
 
Plymouth Meeting
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1994
 
28,604

 
40.5
%
 
317

 
27.38

 
 
Premier Urgent Care
 
 
402

 
County Line Plaza
 
Souderton
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
2013
 
154,758

 
91.6
%
 
1,440

 
10.58

 
ALDI
 
Planet Fitness, Rite Aid, VF Outlet
 
 
403

 
69th Street Plaza
 
Upper Darby
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1994
 
41,711

 
100.0
%
 
411

 
9.85

 
Fresh Grocer (Wakefern)*
 
EZ Bargains, Rent-A-Center, Super Dollar City
 
 
404

 
Warminster Towne Center
 
Warminster
 
PA
 
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1997
 
237,152

 
100.0
%
 
3,407

 
15.59

 
ShopRite
 
A.C. Moore, Kohls, Modell's Sporting Goods, Old Navy, Party City, PetSmart, Ross Dress for Less
 
 
405

 
Shops at Prospect
 
West Hempfield
 
PA
 
Lancaster, PA
 
1994
 
63,392

 
100.0
%
 
728

 
11.48

 
Musser's Markets
 
Hallmark
 
Kmart
406

 
Whitehall Square
 
Whitehall
 
PA
 
Allentown-Bethlehem-Easton, PA-NJ
 
2006
 
315,192

 
94.8
%
 
3,205

 
10.72

 
Redner's Warehouse Market
 
Mealey's Furniture, PetSmart, Ross Dress for Less, Sports Authority, Staples
 
 
407

 
Wilkes-Barre Township Marketplace
Wilkes-Barre
 
PA
 
Scranton--Wilkes-Barre--Hazleton, PA
 
2004
 
307,610

 
97.9
%
 
2,171

 
30.82

 
Walmart Supercenter
 
Party City, Shoe Carnival
 
 
408

 
Hunt River Commons
 
North Kingstown
 
RI
 
Providence-Warwick, RI-MA
 
1989
 
148,126

 
83.8
%
 
1,356

 
10.92

 
Super Stop & Shop (Ahold)
 
Marshalls, Planet Fitness
 
 
409

 
Belfair Towne Village
 
Bluffton
 
SC
 
Hilton Head Island-Bluffton-Beaufort, SC
 
2006
 
165,039

 
93.4
%
 
2,169

 
14.07

 
Kroger
 
Stein Mart
 
 
410

 
Milestone Plaza
 
Greenville
 
SC
 
Greenville-Anderson-Mauldin, SC
 
1995
 
89,721

 
100.0
%
 
1,572

 
17.52

 
BI-LO (Southeastern Grocers)
 
 
 
411

 
Circle Center
 
Hilton Head
 
SC
 
Hilton Head Island-Bluffton-Beaufort, SC
 
2000
 
65,313

 
97.2
%
 
790

 
12.45

 
BI-LO (Southeastern Grocers)
 
 
 
412

 
Island Plaza
 
James Island
 
SC
 
Charleston-North Charleston, SC
 
2016
 
171,224

 
100.0
%
 
1,361

 
8.26

 
Food Lion (Delhaize)
 
Dollar Tree, Gold's Gym, Tuesday Morning
 
 
413

 
Festival Centre
 
North Charleston
 
SC
 
Charleston-North Charleston, SC
 
2015
 
325,347

 
75.1
%
 
2,014

 
8.36

 
 
Gold's Gym, Intercontinental Hotels Group, New Spring Church, Sears Outlet
 
 
414

 
Remount Village Shopping Center
 
North Charleston
 
SC
 
Charleston-North Charleston, SC
 
1996
 
60,238

 
21.9
%
 
129

 
9.77

 
 
 
 
415

 
Fairview Corners I & II
 
Simpsonville
 
SC
 
Greenville-Anderson-Mauldin, SC
 
2003
 
131,002

 
98.2
%
 
1,878

 
14.60

 
 
Ross Dress for Less, T.J.Maxx
 
Target
416

 
Hillcrest Market Place
 
Spartanburg
 
SC
 
Spartanburg, SC
 
2012
 
360,277

 
86.5
%
 
3,369

 
11.39

 
Publix
 
Marshalls, NCG Cinemas, Office Depot, Petco, Ross Dress for Less, Stein Mart
 
 
417

 
Shoppes at Hickory Hollow
 
Antioch
 
TN
 
Nashville-Davidson--Murfreesboro--Franklin, TN
1986
 
144,469

 
84.9
%
 
1,413

 
11.52

 
Kroger
 
Citi Trends
 
 
418

 
East Ridge Crossing
 
Chattanooga
 
TN
 
Chattanooga, TN-GA
 
1999
 
58,950

 
88.8
%
 
588

 
11.23

 
Food Lion (Delhaize)
 
 
 
419

 
Watson Glen Shopping Center
 
Franklin
 
TN
 
Nashville-Davidson--Murfreesboro--Franklin, TN
2015
 
265,027

 
98.9
%
 
2,530

 
9.74

 
ALDI
 
At Home, Big Lots, Franklin Athletic Club, Trees n Trends
 
 
420

 
Williamson Square
 
Franklin
 
TN
 
Nashville-Davidson--Murfreesboro--Franklin, TN
2015
 
331,386

 
95.9
%
 
3,185

 
10.02

 
 
Grace Church Nashville, Hard Knocks, Hobby Lobby, Planet Fitness, Skyzone, USA Baby
 
 
421

 
Greensboro Village
 
Gallatin
 
TN
 
Nashville-Davidson--Murfreesboro--Franklin, TN
2005
 
70,203

 
97.7
%
 
998

 
14.55

 
Publix
 
 
 
422

 
Greeneville Commons
 
Greeneville
 
TN
 
Greeneville, TN
 
2002
 
228,618

 
95.5
%
 
1,593

 
12.32

 
 
Belk, Burkes Outlet, JC Penney, Kmart
 
 
423

 
Oakwood Commons
 
Hermitage
 
TN
 
Nashville-Davidson--Murfreesboro--Franklin, TN
2015
 
267,558

 
92.1
%
 
2,766

 
11.68

 
Publix
 
Bed Bath & Beyond, Dollar Tree, Goody’s, PetSmart, Ross Dress for Less
 
 
424

 
Kimball Crossing
 
Kimball
 
TN
 
Chattanooga, TN-GA
 
2007
 
280,476

 
96.7
%
 
1,819

 
7.40

 
Walmart Supercenter
 
Goody's
 
Lowe's
425

 
Kingston Overlook
 
Knoxville
 
TN
 
Knoxville, TN
 
2015
 
122,536

 
80.7
%
 
914

 
9.55

 
 
Babies"R"Us, Sears Outlet
 
 
426

 
Farrar Place
 
Manchester
 
TN
 
Tullahoma-Manchester, TN
 
1989
 
43,220

 
84.5
%
 
324

 
8.88

 
Food Lion (Delhaize)
 
 
 
427

 
The Commons at Wolfcreek
 
Memphis
 
TN
 
Memphis, TN-MS-AR
 
2016
 
660,013

 
93.3
%
 
8,246

 
13.80

 
 
Academy Sports + Outdoors, Best Buy, Big Lots, DSW, Hancock Fabrics, hhgregg, Office Depot, PetSmart, Sports Authority, T.J.Maxx, Value City Furniture
 
Target, The Home Depot, Toys"R"Us
428

 
Georgetown Square
 
Murfreesboro
 
TN
 
Nashville-Davidson--Murfreesboro--Franklin, TN
2003
 
114,117

 
85.4
%
 
1,123

 
11.52

 
Kroger
 
Aaron's
 
 
429

 
Nashboro Village
 
Nashville
 
TN
 
Nashville-Davidson--Murfreesboro--Franklin, TN
1998
 
86,811

 
98.2
%
 
1,013

 
11.89

 
Kroger
 
 
Walgreens
430

 
Commerce Central
 
Tullahoma
 
TN
 
Tullahoma-Manchester, TN
 
1995
 
182,401

 
98.3
%
 
1,241

 
6.92

 
Walmart Supercenter
 
Dollar Tree
 
 
431

 
Merchant's Central
 
Winchester
 
TN
 
Tullahoma-Manchester, TN
 
1997
 
208,123

 
93.1
%
 
1,134

 
5.86

 
Walmart Supercenter
 
Goody's
 
 
432

 
Palm Plaza
 
Aransas
 
TX
 
Corpus Christi, TX
 
2002
 
50,700

 
88.1
%
 
300

 
8.18

 
 
Bealls (Stage Stores), Family Dollar
 
 
433

 
Bardin Place Center
 
Arlington
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
2016
 
420,550

 
98.0
%
 
3,922

 
9.52

 
WinCo Foods
 
Hemispheres, Hobby Lobby, Ross Dress for Less
 
 
434

 
Parmer Crossing
 
Austin
 
TX
 
Austin-Round Rock, TX
 
2015
 
168,112

 
83.7
%
 
1,588

 
11.29

 
 
Big Lots, Dollar Tree, Harbor Freight Tools, Mega Furniture
 
Fry's Electronics
435

 
Baytown Shopping Center
 
Baytown
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1987
 
95,930

 
85.7
%
 
891

 
10.84

 
 
24 Hour Fitness
 
 
436

 
Cedar Bellaire
 
Bellaire
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1994
 
50,967

 
100.0
%
 
850

 
16.68

 
H-E-B
 
 
 
437

 
El Camino
 
Bellaire
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2008
 
71,575

 
98.4
%
 
609

 
8.65

 
El Ahorro Supermarket
 
Family Dollar, Hancock Fabrics
 
 
438

 
Bryan Square
 
Bryan
 
TX
 
College Station-Bryan, TX
 
2008
 
59,029

 
100.0
%
 
328

 
6.47

 
 
99 Cents Only, Citi Trends, Dollar Floor Store, Firestone
 
 
439

 
Townshire
 
Bryan
 
TX
 
College Station-Bryan, TX
 
2002
 
136,887

 
90.0
%
 
934

 
7.58

 
 
Tops Printing
 
 
440

 
Plantation Plaza
 
Clute
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1997
 
99,141

 
99.0
%
 
827

 
8.60

 
 
Walgreens
 
 
441

 
Central Station
 
College Station
 
TX
 
College Station-Bryan, TX
 
2012
 
176,847

 
93.9
%
 
2,538

 
15.66

 
 
OfficeMax, Spec's Liquors, Wally's Party Factory
 
Kohl's
442

 
Rock Prairie Crossing
 
College Station
 
TX
 
College Station-Bryan, TX
 
2002
 
118,700

 
100.0
%
 
1,312

 
24.92

 
Kroger
 
CVS
 
 
443

 
Carmel Village
 
Corpus Christi
 
TX
 
Corpus Christi, TX
 
1993
 
85,633

 
75.3
%
 
621

 
9.63

 
 
Bay Area Dialysis, Bealls (Stage Stores), Tuesday Morning
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 44




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
444

 
Five Points
 
Corpus Christi
 
TX
 
Corpus Christi, TX
 
2016
 
276,593

 
93.7
%
 
3,153

 
12.38

 
 
Bealls (Stage Stores), Burkes Outlet, Harbor Freight Tools, Hobby Lobby, Party City, Ross Dress for Less
 
 
445

 
Claremont Village
 
Dallas
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1976
 
67,305

 
97.3
%
 
531

 
8.24

 
Fiesta Mart
 
Family Dollar
 
 
446

 
Jeff Davis
 
Dallas
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1975
 
68,962

 
85.3
%
 
628

 
10.68

 
Save-A-Lot (Supervalu)
 
Family Dollar
 
 
447

 
Stevens Park Village
 
Dallas
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1974
 
45,492

 
96.5
%
 
406

 
9.25

 
 
Big Lots, O'Reilly Auto Parts
 
 
448

 
Webb Royal Plaza
 
Dallas
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
2016
 
108,545

 
96.7
%
 
922

 
9.19

 
El Rio Grande Latin Market
 
Family Dollar
 
 
449

 
Wynnewood Village
 
Dallas
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
2006
 
443,681

 
87.2
%
 
3,915

 
10.25

 
El Rancho, Kroger
 
Fallas Paredes, Gen X Clothing, Ross Dress for Less
 
 
450

 
Parktown
 
Deer Park
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1999
 
121,388

 
93.4
%
 
959

 
8.48

 
Food Town
 
Burkes Outlet, Walgreens
 
 
451

 
Kenworthy Crossing
 
El Paso
 
TX
 
El Paso, TX
 
2003
 
74,393

 
90.3
%
 
653

 
9.72

 
Albertsons
 
 
 
452

 
Preston Ridge
 
Frisco
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
2016
 
794,124

 
98.0
%
 
15,479

 
20.32

 
SuperTarget*
 
Best Buy, Big Lots, DSW, Old Navy, Marshalls, Nordstrom Rack, Ross Dress for Less, Saks OFF Fifth, Sheplers, Stein Mart, T.J.Maxx
 
 
453

 
Forest Hills Village
 
Ft. Worth
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1968
 
69,651

 
100.0
%
 
393

 
5.64

 
Foodland Markets
 
Family Dollar, Hi Style Fashion
 
 
454

 
Ridglea Plaza
 
Ft. Worth
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1990
 
170,519

 
100.0
%
 
1,916

 
11.57

 
Tom Thumb (Albertsons)
 
Stein Mart
 
 
455

 
Trinity Commons
 
Ft. Worth
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1998
 
197,423

 
100.0
%
 
3,857

 
19.54

 
Tom Thumb (Albertsons)
 
DSW
 
 
456

 
Village Plaza
 
Garland
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
2002
 
89,241

 
100.0
%
 
1,016

 
11.39

 
Truong Nguyen Grocer
 
 
 
457

 
North Hills Village
 
Haltom City
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1998
 
43,299

 
84.7
%
 
262

 
7.14

 
Save-A-Lot
 
Dollar Tree, Rent-A-Center
 
 
458

 
Highland Village Town Center
 
Highland Village
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1996
 
99,341

 
90.2
%
 
957

 
10.68

 
Kroger
 
 
 
459

 
Bay Forest
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2004
 
71,667

 
98.3
%
 
742

 
10.53

 
Kroger
 
 
 
460

 
Beltway South
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1998
 
107,174

 
97.0
%
 
956

 
28.24

 
Kroger
 
 
 
461

 
Braes Heights
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2003
 
88,101

 
100.0
%
 
1,831

 
20.78

 
 
CVS, Imagination Toys, I W Marks Jewelers
 
 
462

 
Braes Link
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1999
 
30,189

 
100.0
%
 
534

 
17.69

 
 
Walgreens
 
 
463

 
Braes Oaks Center
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1992
 
45,067

 
94.5
%
 
456

 
10.71

 
H-E-B
 
 
 
464

 
Braesgate
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1997
 
91,382

 
93.2
%
 
516

 
6.06

 
Food Town
 
 
 
465

 
Broadway
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2006
 
76,142

 
100.0
%
 
759

 
10.38

 
El Ahorro Supermarket
 
Fallas Paredes, Melrose Fashions
 
 
466

 
Clear Lake Camino South
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2004
 
102,643

 
90.0
%
 
1,387

 
16.11

 
 
24 Hour Fitness, Hancock Fabrics, Mr. Gatti's Pizza, Spec's Liquors
 
 
467

 
Hearthstone Corners
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1998
 
208,147

 
93.9
%
 
1,858

 
9.50

 
Kroger
 
Big Lots, Stein Mart
 
 
468

 
Inwood Forest
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1997
 
77,553

 
98.1
%
 
669

 
8.82

 
Foodarama
 
 
 
469

 
Jester Village
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1988
 
64,285

 
77.4
%
 
500

 
10.05

 
H-E-B
 
 
 
470

 
Jones Plaza
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2000
 
111,206

 
66.9
%
 
758

 
10.19

 
 
Fitness Connection
 
 
471

 
Jones Square
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1999
 
169,003

 
98.7
%
 
1,240

 
7.54

 
 
Big Lots, Hobby Lobby
 
 
472

 
Maplewood Mall
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2004
 
93,711

 
98.1
%
 
764

 
8.31

 
Foodarama
 
Burke's Outlet
 
 
473

 
Merchants Park
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2009
 
243,798

 
100.0
%
 
3,334

 
13.68

 
Kroger
 
Big Lots, Petco, Ross Dress for Less, Tuesday Morning
 
 
474

 
Northgate
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1972
 
40,244

 
100.0
%
 
309

 
7.68

 
 
Affordable Furniture, Firestone, Lumber Liquidators, TitleMax
 
 
475

 
Northshore
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2001
 
230,779

 
93.9
%
 
2,694

 
12.63

 
Sellers Bros.
 
Conn's, Office Depot
 
 
476

 
Northtown Plaza
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2016
 
190,622

 
94.3
%
 
2,041

 
11.51

 
 
99 Cents Only, CVS, dd's Discounts (Ross), Fallas Paredes
 
 
477

 
Northwood Plaza
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1972
 
136,747

 
96.0
%
 
1,379

 
10.68

 
Food City
 
 
 
478

 
Orange Grove
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2005
 
189,201

 
94.1
%
 
1,742

 
9.92

 
 
24 Hour Fitness, FAMSA, Floor & Décor
 
 
479

 
Pinemont Shopping Center
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1999
 
73,577

 
92.9
%
 
867

 
12.98

 
 
Family Dollar, Houston Community College
 
 
480

 
Royal Oaks Village
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2001
 
145,229

 
97.8
%
 
3,109

 
21.90

 
H-E-B
 
 
 
481

 
Tanglewilde Center
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1998
 
82,565

 
100.0
%
 
1,130

 
13.81

 
 
Ace Hardware, Dollar Tree, Party City, Salon In The Park
 
 
482

 
Westheimer Commons
 
Houston
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2012
 
242,409

 
92.6
%
 
2,070

 
9.22

 
Fiesta Mart
 
Marshalls, Rainbow
 
 
483

 
Fry Road Crossing
 
Katy
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2005
 
237,340

 
100.0
%
 
2,422

 
10.29

 
Kroger
 
Hobby Lobby, Palais Royal, Stein Mart
 
 
484

 
Washington Square
 
Kaufman
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
1978
 
64,230

 
82.7
%
 
344

 
6.48

 
 
AutoZone, Bealls (Stage Stores), Dollar Tree
 
 
485

 
Jefferson Park
 
Mount Pleasant
 
TX
 
Mount Pleasant, TX
 
2001
 
132,096

 
97.3
%
 
901

 
7.12

 
Super 1 Foods
 
Harbor Freight Tools, PetSense
 
 
486

 
Winwood Town Center
 
Odessa
 
TX
 
Odessa, TX
 
2002
 
365,559

 
100.0
%
 
2,770

 
12.13

 
H-E-B
 
Hastings, Office Depot, Ross Dress for Less, Target
 
 
487

 
Crossroads Centre - Pasadena
 
Pasadena
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1997
 
134,006

 
93.8
%
 
1,479

 
12.65

 
Kroger
 
Sears Hardware
 
 
488

 
Spencer Square
 
Pasadena
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1998
 
194,470

 
84.4
%
 
1,993

 
12.14

 
Kroger
 
Burkes Outlet
 
 
489

 
Pearland Plaza
 
Pearland
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1995
 
156,491

 
81.6
%
 
1,136

 
8.90

 
Kroger
 
Goodwill Select Store, Harbor Freight Tools, Walgreens
 
 
490

 
Market Plaza
 
Plano
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
2002
 
168,137

 
70.2
%
 
2,685

 
23.85

 
Central Market (H-E-B)
 
 
 
491

 
Preston Park
 
Plano
 
TX
 
Dallas-Fort Worth-Arlington, TX
 
2016
 
239,341

 
90.3
%
 
5,764

 
26.66

 
Kroger
 
 
 
492

 
Northshore Plaza
 
Portland
 
TX
 
Corpus Christi, TX
 
2000
 
152,144

 
98.4
%
 
1,011

 
13.48

 
H-E-B
 
Bealls (Stage Stores)
 
Kmart
493

 
Klein Square
 
Spring
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1999
 
80,636

 
96.5
%
 
812

 
10.44

 
Food Town
 
Family Dollar, Unleashed (Petco)
 
 
494

 
Keegan's Meadow
 
Stafford
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
1999
 
125,491

 
94.7
%
 
1,236

 
10.73

 
Randalls (Albertsons)
 
Palais Royal
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 45




PROPERTY LIST
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dollars in thousands except per square foot amounts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Year
 
 
 
Percent
 
 
 
 
 
 
 
 
 
 
 
 
Property Name
 
City
 
State
 
Metropolitan Statistical Area
 
Built
 
 GLA
 
Leased
 
 ABR
 
 ABR / SF
 
Grocer (1)
 
Other Major Tenants
 
Non-Owned Major Tenants
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
495

 
Texas City Bay
 
Texas City
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2005
 
223,152

 
53.9
%
 
1,170

 
9.79

 
Kroger
 
 
 
496

 
Windvale Center
 
The Woodlands
 
TX
 
Houston-The Woodlands-Sugar Land, TX
 
2002
 
101,088

 
94.6
%
 
1,066

 
27.84

 
Randalls (Albertsons)
 
 
 
497

 
The Centre at Navarro
 
Victoria
 
TX
 
Victoria, TX
 
2005
 
66,102

 
96.2
%
 
732

 
11.51

 
ALDI
 
Hastings, Walgreens
 
 
498

 
Spradlin Farm
 
Christiansburg
 
VA
 
Blacksburg-Christiansburg-Radford, VA
 
2000
 
180,220

 
100.0
%
 
2,657

 
14.99

 
 
Barnes & Noble, Big Lots, Michaels, Petco, T.J.Maxx
 
Target, The Home Depot
499

 
Culpeper Town Square
 
Culpeper
 
VA
 
Washington-Arlington-Alexandria, DC-VA-MD-WV
1999
 
132,882

 
94.2
%
 
1,089

 
8.70

 
Food Lion (Delhaize)
 
Mountain Run Bowling, Tractor Supply Co.
 
 
500

 
Hanover Square
 
Mechanicsville
 
VA
 
Richmond, VA
 
1991
 
129,887

 
98.2
%
 
1,652

 
12.96

 
Martin's Food (Ahold)
 
Gold's Gym
 
Kohl's
501

 
Jefferson Green
 
Newport News
 
VA
 
Virginia Beach-Norfolk-Newport News, VA-NC
 
1988
 
54,945

 
91.3
%
 
761

 
15.17

 
 
DXL Destination XL, Once Upon a Child, Tuesday Morning
 
 
502

 
Tuckernuck Square
 
Richmond
 
VA
 
Richmond, VA
 
1981
 
86,010

 
92.0
%
 
1,221

 
15.43

 
 
2nd & Charles, Chuck E. Cheese's
 
 
503

 
Cave Spring Corners
 
Roanoke
 
VA
 
Roanoke, VA
 
2005
 
147,133

 
100.0
%
 
1,156

 
13.10

 
Kroger
 
Hamrick's
 
 
504

 
Hunting Hills
 
Roanoke
 
VA
 
Roanoke, VA
 
2014
 
166,207

 
98.2
%
 
1,405

 
8.61

 
 
Kohl's, PetSmart
 
 
505

 
Valley Commons
 
Salem
 
VA
 
Roanoke, VA
 
1988
 
45,580

 
20.4
%
 
88

 
9.46

 
 
 
 
506

 
Lake Drive Plaza
 
Vinton
 
VA
 
Roanoke, VA
 
2008
 
163,090

 
100.0
%
 
1,296

 
7.95

 
Kroger
 
Big Lots, Goodwill
 
 
507

 
Hilltop Plaza
 
Virginia Beach
 
VA
 
Virginia Beach-Norfolk-Newport News, VA-NC
 
2010
 
150,300

 
98.9
%
 
2,515

 
17.08

 
Trader Joe's
 
Jo-Ann Fabric & Craft Stores, Kirkland’s, Office Depot, PetSmart
 
 
508

 
Ridgeview Centre
 
Wise
 
VA
 
Big Stone Gap, VA
 
2015
 
190,242

 
67.6
%
 
977

 
7.60

 
 
Grand Home Furnishings, Harbor Freight Tools, Ollie's Bargain Outlet
 
Belk
509

 
Rutland Plaza
 
Rutland
 
VT
 
Rutland, VT
 
1997
 
224,514

 
98.2
%
 
1,944

 
8.81

 
Price Chopper
 
Flagship Cinemas, T.J.Maxx, Walmart
 
 
510

 
Fitchburg Ridge Shopping Center
 
Fitchburg
 
WI
 
Madison, WI
 
2003
 
50,555

 
83.6
%
 
495

 
11.75

 
 
Wisconsin Dialysis
 
 
511

 
Spring Mall
 
Greenfield
 
WI
 
Milwaukee-Waukesha-West Allis, WI
 
2003
 
188,861

 
83.5
%
 
1,179

 
7.48

 
 
T.J.Maxx
 
 
512

 
Mequon Pavilions
 
Mequon
 
WI
 
Milwaukee-Waukesha-West Allis, WI
 
2015
 
219,618

 
90.2
%
 
3,119

 
15.74

 
Sendik's Food Market
 
Bed Bath & Beyond, DSW, Marshalls
 
 
513

 
Moorland Square Shopping Ctr
 
New Berlin
 
WI
 
Milwaukee-Waukesha-West Allis, WI
 
1990
 
98,303

 
91.3
%
 
857

 
9.55

 
Pick 'n Save (Kroger)
 
 
Walmart
514

 
Paradise Pavilion
 
West Bend
 
WI
 
Milwaukee-Waukesha-West Allis, WI
 
2000
 
203,630

 
97.9
%
 
1,463

 
7.34

 
 
Hobby Lobby, Kohl's
 
ShopKo
515

 
Moundsville Plaza
 
Moundsville
 
WV
 
Wheeling, WV-OH
 
2004
 
176,156

 
96.0
%
 
1,206

 
7.13

 
Kroger
 
Big Lots, Dunham's Sports, Peebles
 
 
516

 
Grand Central Plaza
 
Parkersburg
 
WV
 
Parkersburg-Vienna, WV
 
1986
 
75,344

 
100.0
%
 
801

 
10.63

 
 
Office Depot, O'Reilly Auto Parts, T.J.Maxx
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TOTAL PORTFOLIO
 
 
 
 
 
 
 
 
 
86,446,148

 
92.8
%
 
$
952,653

 
$
12.85

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) * Indicates grocer is not owned; ** Indicates new grocer at lease to replace recently dark grocer.
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Supplemental Disclosure - Three Months Ended June 30, 2016
Page 46




 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
GUIDANCE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Supplemental Disclosure
Three Months Ended June 30, 2016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 





GUIDANCE & ADDITIONAL DISCLOSURES
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2016 GUIDANCE
 
 
 
 
 
 
 
 
 
 
 
 
 
Updated
 
Prior
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
NAREIT FFO per common share - diluted
$2.03 - $2.06

 
$2.01 - $2.09

 
 
 
 
 
Key Underlying Assumptions
 
 
 
 
 
 
 
 
 
Same property NOI growth
2.5 - 3.5%

 
2.5 - 3.5%

 
 
 
 
 
 
Percent leased (at year-end)
92.8 - 93.0%

 
92.8 - 93.0%

 
 
 
 
 
 
Total rent spread (cash)
10 - 15%

 
10 - 15%

 
 
 
 
 
 
Total leasing related capital expenditures
$155 - $175M

 
$155 - $175M

 
 
 
 
 
 
 
Anchor space repositioning and redevelopment related spending
$95 - $110M

 
$95 - $110M

 
 
 
 
 
 
General and administrative expenses (1)
$92 - $94M

 
$84 - $87M

 
 
 
 
 
 
 
Audit committee review expenses
$4M

 
N/A

 
 
 
 
 
 
 
Executive severance expenses
$2M

 
N/A

 
 
 
 
 
 
Straight-line rental income and amortization of above- and below-market rent and tenant inducements and straight-line ground rent expense (2)
$47 - $50M

 
$50 - $53M

 
 
 
 
 
 
Cash interest expense
$233 - $235M

 
$230 - $239M

 
 
 
 
 
 
GAAP interest expense (3)
$227 - $229M

 
N/A

 
 
 
 
 
 
Dispositions
$75 - $175M

 
$75 - $175M

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ADDITIONAL DISCLOSURES - as of 6/30/16 (dollars in millions, except per square foot amounts)
 
 
 
 
 
 
 
 
ABR from leases signed but not yet commenced
$35

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Leases signed but not yet commenced:
Leases
 
GLA
 
ABR
 
ABR/SF
 
 
 
 
≥ 10,000 SF
55

 
1,318,955

 
$
16.7

 
$
12.65

 
 
 
 
< 10,000 SF
282

 
807,978

 
18

 
22.29

 
 
 
 
TOTAL
337

 
2,126,933

 
$
34.7

 
$
16.31

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
(1) Does not include any expectations of additional one-time items, including, but not limited to, litigation and other non-routine legal expenses.
 
 
 
 
 
 
 
(2) Prior guidance did not include tenant inducements and straight-line ground rent expense.
 
 
 
 
 
 
 
(3) Prior guidance not provided.
 
 
 
 
 
 
 





Supplemental Disclosure - Three Months Ended June 30, 2016
Page 48
GRAPHIC 4 jpgstandardlogoa14.jpg begin 644 jpgstandardlogoa14.jpg M_]C_X 02D9)1@ ! 0$ 8 !@ #_[ 11'5C:WD 0 $ 9 _]L 0P " M 0$" 0$" @(" @(" @,% P,# P,&! 0#!0<&!P<'!@<'" D+"0@("@@'!PH- M"@H+# P,# <)#@\-# X+# P,_]L 0P$" @(# P,& P,&# @'" P,# P,# P, M# P,# P,# P,# P,# P,# P,# P,# P,# P,# P,# P,# P,# P,# P,_\ M$0@ M@/H P$B (1 0,1 ?_$ !\ $% 0$! 0$! ! @,$!08' M" D*"__$ +40 (! P,"! ,%!00$ !?0$" P $$042(3%!!A-180'EZ@X2%AH>(B8J2DY25EI>8F9JBHZ2E MIJ>HJ:JRL[2UMK>XN;K"P\3%QL?(R;GZ.GJ\?+S M]/7V]_CY^O_$ !\! ,! 0$! 0$! 0$ ! @,$!08'" D*"__$ +41 M (! @0$ P0'!00$ $"=P ! @,1! 4A,08205$'87$3(C*!"!1"D:&QP0DC M,U+P%6)RT0H6)#3A)?$7&!D:)BH*#A(6&AXB)BI*3E)66EYB9FJ*CI*6FIZBIJK*S MM+6VM[BYNL+#Q,7&Q\C)RM+3U-76U]C9VN+CY.7FY^CIZO+S]/7V]_CY^O_: M P# 0 "$0,1 #\ _?RBBB@ HHHH **** "BBB@ HHHH **** "BBB@ HHHH M **** "BBB@ HHHH **** "BBB@ HHHH **** "BBB@ HHHH **** "BBB@ MHHHH **** "BBB@ HHHH **** "BBB@ HHHH **** "BBB@ HHHH **** "B MBB@ HHHH **** "BBB@ HHHH **** "BBB@ HHHH **** "BBB@ HHHH *** M* "BBB@ HHHH **** "BBB@ HHHH **** "BBB@ HHHH **** "BBB@ HHHH M **** "BBB@ HHHH **** "BBB@ HHHH **** "BN9UWXS>$?#,SQ:AXGT"S MFC.&BDOXA(I_W=V?TJQX<^)WAOQ?,(]*\0:+J4A_@M;V.5_7HK$UPQS/!RJ> MQC5BY=N97^Z]SKE@,3&'M73ER][.WWF]1117<<@4444 %%%% !117X5_M<_M M<_%?PU^U?\3M.T[XG?$.PT^P\6ZK;6MK;>([R*&VB2\E5(T19 JJJ@ # M%>%GN>T\LIQG4BYC]@_P")5LU_Z#J?_@,C^ABBOYY_^&U/C)_T5KXF_P#A47W_ ,=H_P"&U/C) M_P!%:^)O_A47W_QVC_B(.'_Y\R^]!_Q*MFO_ $'4_P#P&1_0Q17\\_\ PVI\ M9/\ HK7Q-_\ "HOO_CM'_#:GQD_Z*U\3?_"HOO\ X[1_Q$'#_P#/F7WH/^)5 MLU_Z#J?_ (#(_H8HK\ M#_X*(?'+P\Z-;_%+QE(8U"C[3J#70(&,9$F[)XZG MKWSDUZO\,_\ @MU\=/ UQ%_:FHZ%XNMDPK1ZGID<3%>GW[?RCGW.>>N:Z:/' MV!D[5(2C]S_6_P"!Y&8?1?XEHP<\+7HU/*\HM^EXV^]H_::BOAC]FS_@NK\/ M/B?>6^F^.=+O/ 6HS,(UNS)]LTUF/&6D"AX\G'WD*J,Y?C-?;FC:U9>)-*MK M_3KRVO[&\C$T%S;RK+#.A&0R.I(92.A!KZK 9GA<9#GPTU+\UZIZH_$N)N#L MZX?K*AG&'E2;V;UB_P##)7B_DRW1117>?,A1110 45^6'_!;[]H3Q]\)OVKO M#^G>%O''B_PSITWA*VN)+;2M9N;*&24WEZID*1NJEBJ*,D9PH'85\;?\-J?& M3_HK7Q-_\*B^_P#CM?%9AQK1PF)GAI4FW%VO=']%<*_1US'/,IH9M2QD(1K1 MYDG&5UZV/Z&**_GG_P"&U/C)_P!%:^)O_A47W_QVC_AM3XR?]%:^)O\ X5%] M_P#':XO^(@X?_GS+[T?0?\2K9K_T'4__ &1_0Q17\\__#:GQD_Z*U\3?_"H MOO\ X[1_PVI\9/\ HK7Q-_\ "HOO_CM'_$0#_\ @JS\?_!3K]G^ M(VIWD:@*4U"VM[T,.!R98V;/ Y!SU]37OGPA_P"#@+QOH,\<7C7P=H'B*U&% M,VFR2:=<^['=YB,>O 5,^HKNPW'675':IS0]5=?@V_P/FLV^C5Q;A8N>%=*O MY1FU+[IJ*_\ )C]8:*^?/V7_ /@IK\)?VJKB&QT?7&T;Q!-@+H^LJMK=2-Z1 MG<8Y3[(Y;') KZ#KZO#8NCB(>TH24EW1^(9QD>895B'A,RHRI5%TDFGZJ^Z\ MUHPHHHKH/+"BBB@ HK\?O^"N'[3'Q'^&O[ M'E2;<6UNNCL?TEP]]&[,LVRS#YG3QD(QK0C-)QE=*23L_2Y_0Q17\\__ VI M\9/^BM?$W_PJ+[_X[1_PVI\9/^BM?$W_ ,*B^_\ CMFWWB&S@N;2[\ M17DT%Q&TJ@HZ-(592.H(Q7[AU]-D>>0S.E*I"+CRNVI^.>)/AQB>#L92P>)K M1JNI'FO%-6U:MKZ!117P#_P69^'_ ,4?AYID'Q2^'_C_ ,?:1HL"QV>O:7IN MNW=O;VA^['=I&D@558X1P /FV-R68UV9GC983#RQ"@Y*.Z6]N_R/ X-X.58$$<$$&OVK_ &&?VN=+_;,^ VG^*+3R;;5X,6FM6"-S M97:@;@ >?+8$.A_NMC.00/;R3BC#YE4=&,7&25[/KWMZ'YQXC^"^:\(X2GCZ MU2-:E)\K<4UROIS7Z2UL^ZL]U?V6BBBOIS\<"BBN$_:&^--I\#/AQ=:O+Y#K8N MO##4(WG)I)>;.[HK\TKG]H#QW=W,DK>,O%"M(Q#>-ZXB/W,_3"BOS/\ ^%\^ M.?\ H<_%G_@WN/\ XNC_ (7SXY_Z'/Q9_P"#>X_^+I?\1]P'_0)/_P "B'_$ M&\9_T$1^YGZ845^9_P#POGQS_P!#GXL_\&]Q_P#%U]0?L+^&O%OB:TD\7>)? M$?B.]LI T&FVEUJ,TL4W9YF5F(('W5SWW'L#7T/"_BQ2SW,(9?A,).[U;;5H MQ6[?]:MI'B<0>'-3*,%+&XG$QLM$DG=M[)?UHKL^D****_73\V"BBB@ HK!^ M*/B,^$/AMX@U56*OIVG3W"$==RQL5Q^(%?G;_P +Y\<_]#GXL_\ !O^O3L?IA M17YG_P#"^?'/_0Y^+/\ P;W'_P 71_POGQS_ -#GXL_\&]Q_\77PW_$?7 4NQVAEWCCJ0M>MD7C5E^99A2P# MH2A[1J*DVFDWM][LOF>=F_A7C<#@ZF,5:,^17:2=[+?[EK\C['HHHK]H/RP* M*** "BBB@ HKP7]O7XSW?PW^'UAI>D7US8:KK<^[SK:5HI88(\%B&4@J2Q0> MXW"ODG_A?/CG_H<_%G_@WN/_ (NOR?BWQ:P.19C++IT95)12;::23>MM?*S^ M9^C<-^'&,S?!+'1JJ$9-I)INZ6E]/.Z^1^F%%?F?_P +Y\<_]#GXL_\ !O>01O&A5=S$G&Y7[]Z^FX2\6,'GV8QRZE0E"4DVFVFM%>VGD>#Q)X>]4445^L'YR%%%% !1110 445Y-\:?VQO"7P=>2T\\Z MWK$>5-E9N#Y3#M(_1/IRWM7FYKG&"RR@\3CZJIP75O\ !+=OR5V=V799B\?6 M5#!TW.3Z+]>B7F]#UFL;Q5\0="\"V_FZSK&FZ6I&1]IN4C+_ $!.3^%?$'Q/ M_;C\21R M[N?4D\FOQ+//'C!TI.GE5!U/[TGRKY)7;7KRL_5\I\'\542GF-90_NQ7,_F] M$OES'WGXC_;M^'.@.RQ:I=ZFZ'!%G9N1G/8OM4_@<5R5_P#\%*O"\;$6N@:] M,,\&4PQ8KQMXDJN]-PIKRC?\ ]*,%NM,\169)^]Y,4B#\I,_I7Q/17 M-2\9^)X.\JL9>3A']+&]3PMR"2LJ&C)=X-Q?W2YK_ 'H^:S'P M=P\DW@*[3[32:^]6M]S/U$HKXZ^$_P#P47U;29(K7QA8)JML,*UY9J(KE?=D MX1_H-GXU]/\ PW^+GAWXMZ3]LT#4X+Y%QYD8RLT!]'0X8?B,'L37[9PUQWDV M>JV!J^__ "2TE]W7UBVO,_*L^X0S3*'?%T_<_F6L?OZ?-)G34445]@?,A111 M0 4454UIVBT>[="5=87*E>"#M/.:F,_Z"(_X_\ BZ/^(^X#_H$G_P"!1#_B#>,_Z"(_X_P#BZMV/[27C_3@HC\8>(&VYQYMX\OY[B<_C5P\?6:$'ZE K?K7K7P\_ MX*2Z?>R1P>*-#FL6;AKJP?S8\^IC;# ?1F-?395XR<-XR2A4G*BW_/&R^^+D ME\VCP,Q\,,]PL7*$%42_D>OW-)OY7/J"BL+P+\2-#^)NCB_T'4[74[?C<8G^ M:(GH'4_,I]F -;M?I^'Q%*O35:C)2B]4T[I^C6Y\!6HU*4W3JQ<9+=-6:]4P MHHHK8S.6^+WQ;TCX+>#IM9UB4K&OR0PIS)=2$$B-!ZG'T R37S#!=_%+]MV_ MF:WF_P"$=\(;RA =H[8@'E21\T[XZ_P@C^'-/\56]Q^V7^UE)H_G3#PMX:9X MW*-P(8V"R,IZ;I9, 'KMP>=M>]_M#7DGPM_9QUJ3PZ?['?2K6)+3[,H06X\U M%PH^A/YU^+9AB:_$GUK%UJDH9=AN9-)3=HZ?S=6^GIOY]X<_X)N^$[&V U36-//J%VL M?_'JI^+O^";>ASV[2>']?U73[L?,@O D\>>PRH1A]><>_2N0^%NB_''XO^"[ M?7=*\8JMC]6O%NE_M!?"+39M;GULZG96"&6X\J:.Y M5(QRQ9'4$@=RHR!D\!5?^PJWL6K\ZC=\MK\W,I\VVM[GMN6>PQ; MI?VO2]JG;E;LK[6LX6WTM8BT/XU_$7]D'Q3;Z/XWBN-=\/SG$4YD,Q*CJT$Q MY../W;]L?=SD_5OA'Q;I_CKPW::MI5S'=V%['YD,B=&'0@@\@@Y!!Y!!%>9_ M##Q+IG[9O[/TRZY81QO)(]G>+&.(;A%5A+$3R#AU8=<9(.1G/EW['7B74O@I M\U)R%$R+N#*#T62(;OJJ^IKZ?(5?+\794I3 M^*G-ZJ#>[4ME?9Z:6=_G\XR^GFE#$5'25+&X:[J1C\,XK>271K=VW7>ZM]84 M445^QGYB%%%% !7\\_[:G_)Y'Q:_['/6/_2Z:OZ&*_GG_;4_Y/(^+7_8YZQ_ MZ735^>^(/^[T?\3_ "/ZJ^BM_P C7'?]>X_^E'F=%%%?EI_;04444 %%%% ! M1110 5].?\$\/^"D'B']BWQC#I^H27FM?#Z_E_T_2]^YK,D\W%L"<+(.I7A7 M'!P=K+\QT5TX3&5L+55>A*TE_7W'C9_D& SK U,NS*FITIK5/IV:?1KHUJC^ ME'P?XMTWQ]X6TW6]&O8=1TG5;9+NTNH3E)XG4,K#Z@CK6G7YV?\ ! []IF?Q M/X)\1?"W4[EY9?#@_M?1U&O^Q,M?\ TNOZ^&:_!N)?^1I7 M_P 7Z(_T[\'_ /DC,N_Z]K\V%%%%>(?I(4444 %%%% !1110 ]':*165BK*< M@@X(/K7WU_P3E_X+$:Q\,M6T_P &?%;49]8\+3,L%IKDY,EYI&> )6Y::'.. M3ET'=@ H^ J*[LNS+$8&LJV'E9]5T?DU_7D?+<6\&Y5Q)@)8#-*:E%[2^U!_ MS1?1_@]FFM#^ES3M1M]6L(+NTGANK6ZC66&:)P\49 MG3Q^%CB*?7==GU7]=#_-3CO@W%\+YS5RG%Z\NL9;*<'\,E^3722:N[!1117I MGQY^(_\ P6F_Y2#>*_\ KRT__P!)(J^4Z^K/^"TW_*0;Q7_UY:?_ .DD5?*= M?S_GG_(QK_XY?FS_ %.\-?\ DD\M_P"O%+_TA!1117EGVQZ__P $_O\ D]WX M5?\ 8S6/_HY:_H%K^?K_ ()_?\GN_"K_ +&:Q_\ 1RU_0+7ZIX??[K5_Q?HC M^'_I4?\ (ZP7_7I_^EL*S_$_AG3_ !IX;O\ 2-5M(;[3-4MY+6[MI5S'/$ZE M71AZ$$BM"BOOVDU9G\NPG*$E.#LUJFMTS\#O^"@O['%]^Q?^T!>Z#MGG\-ZE MNO=!O'&?/MBW^K9NADB/R-T)PK8 <5X97[[?M]?L?:?^V?\ &_\..(+?7[' M-[H5[)P+:Z4<*Q'/ER#Y&X/!#8)45^#7BSPIJ/@7Q/J&BZQ9SZ?JNDW$EI=V MTRXD@E1BK(1Z@@BOQ+BC(WE^)O37[N>J\NZ^73R^9_H[X+>)$>*D[2B[H\K.\EPF;8"KEN. MCS4JL7&2]>J[-/5/HTF?TLZ+K-IXDT:SU&PN8;RQOX4N+:XA8-'/&ZAD=2." MI4@@^]6Z_-K_ ((>_MT?VG8_\*9\3W@^T6RO<>&)YGR98^7EL\GNOS2)_L[U MX"J*_26OWK*,SIX_"QQ%/KNNSZK^NA_F!QUP=B^&,YJY3BM>76,NDX/X9+UV M:Z2370@O[^'2K&:ZN94@M[=&EEDD;"QHHR6)[ $U^>7[3_QXG^._P 1I;M& MD31K#=!IL)XQ'GF0C^\Y )]!M':O;/V_OVA1;VY\"Z1/^]EVR:M(C?=7AE@S M[\,WMM'HU]J:^SZ1Z_WO\ "?J7A;PG]7H_ MVOBH^_->XGTCW]9=/[OJ%%%%?@A^Q!115G1M'NO$.K6MC8P/#3\2)I5IB?4IUX\N+/W0 M?[SXVCTY." :_1'2]+MM$TRWL[2".VM+2-888HUPL:*,!0.P %<3^SE\$;;X M$_#FWTM"DNHW&)]0N!_RVF(Y _V5'RCV&>I-=_7]J^&?!4<@RU.NO]HJV2_MN^ M(/[ _9OUX [9;\PVB9[[I5+?^.!J_/VOL?\ X*5^(?LOP^\.Z4&P;[4'N2,] M1%&5_G,*^.*_C[QMQWM^(_8_\^H1C\W>7_MR/Z9\*,)[+(_:_P#/R3-QX?GWP@GDP2DL,>N'#_0,M?1%?W[PKG<WHMEY']FY=@:>"PM/"4?A@ MDE\E^H4445YYVA7U!_P3.U[R?$7BK2RW%Q;072KZ;&=2?_(@_(5\OU[9_P $ M_P#73I'[15K;[L?VI8W%M]<*): M]V'_ +=+M%?>WHNK7V?!W!N(SRO?X:,?BE^D>[_!;OHGVG[1/[<>L?$F2?2_ M#3W&B:$24:96VW5ZO3EA]Q3_ '1R>Y[#P0G)R>2:**_CK/>(I_3N49+@\LH+#X*"C'\7YM[M_P!(****\4]0**** "BBB@ H MHHH *T?"WBW4_!&N0:EI%]<:??6YRDT+[6'L>Q![@\'OFLZBM*56=*:J4VU) M:IK1I^3(J4XU(N$U=/1I[,^U/V:?VY+/XA2P:)XL:WTS6GPD%XOR6UZW0 _\ M\Y#Z?=)Z8)"GZ(K\HZ^J_P!C?]L%EEM/"'BRY+JY$.FZA*V2IZ+#(3U'96/3 MH>,$?TGX;^+>D*CZOHI^?:77KKJ?A7'/AO&E"6891'1:RAV[N/ MEWC]W8^L:***_HD_$PJIK_\ R KW_K@__H)JW537_P#D!7O_ %P?_P!!-95O MX:Q\.-?BU/1 M-0N-/O(CP\38#C.=K#HRGN""#7W#^R[^UA8_':Q.GWZP:?XEMDW/ IQ'=J!S M)%GGZKR1UY'3X&J]X;\1WOA#7K34]-N)+6^L91+#*AP48?T[$=P2.]?><#\> M8[A[%)P;E0;]^'1KO'M+SZ[,^0XLX/PF=X=J24:J7NSZ^C[K\MT?J=6?XJU& M32?"^I741 EMK665/JJ$C]17.? 7XMV_QL^&6GZ[$J1SR PWD*]()UX=?IR& M'^RPKJM5T^/6-+NK27/E7430OCKA@0?T-?VKA\73QN#CB<)*\:D;Q?JM#^5J MV&GA<4Z&)C9PE:2]'J?-?_!-31%'A3Q1JK //=7D5L6)RV$0O^ID_''M7J/[ M8O\ R;5XJ_ZX1_\ HZ.O'O\ @GOKS>#?&GB_P5J)6'4(I1+&AXR\+-',ON>4 M./0'TKV']L7_ )-J\5?]<(__ $='7Y7PK.F_#VI"&CC2KQDNJDN>]_/K\S]# MXAA-<:0G+52J4FGWC[MK>73Y'S5\#?VS=2^"_P ,+31(/"ZZE;6;RR?:FN&C M#;W+'.$(&,XZUM^)_P!L[QQ\;O#-YHGAOP>T?]I1O:32VR2WDBJPPP4A0%.# MU.< YXZUZW^Q/I-MKW[*]A8WD*7%I>/=PS1.,K(C2N"I^H->2^#-2NOV(/VC M[C1M0DE;P?X@(*3-RJQ%CY4Y=+$9A*."KPA&3 MC""=)2BN5-[N/3FNK;OHG]1[7*,5F6-5'!1EBZ,I2BG.353EE[SMM?KRV=SW M/]D/X.W_ ,$_A!'IVIE!J5_=/?W$2,&%NS(B"/(X)"H,XXR3C(YKR+]JM5\+ M?MG> =3M1LFN39&;''F8N60Y/NF%^@KZLBD66)75E96&00<@@U\F_%B]'QC_ M &]_#NE69$UOXL?^ETU?T,5_//^VI_R>1\6O\ L<]8_P#2Z:OSWQ!_W>C_ (G^ M1_57T5O^1KCO^OS-%"!%&9&RP5B#M4XXK@Z^K/^"+/_*0;PI_UY:A_P"DDM=N6X>%?&4J M%3:4DGZ-V/FN,LUKY9D.,S'#6]I2I3G&^JO&+:NNJNCHKO\ X(2_'"VMWD27 MP5<,O2./59 S?3=$!^9%>3?&?_@FM\:_@-I5QJ.N^!=1DTNV&Z2]TV2/4(8U M Y=O)9F11W+JHK][Z*_4*W > E']W*47ZI_A;]4?Q?EWTG>**-52Q=*E4AU7 M+*+^34K)^J?H?S-T5^@?_!&;"+3++Q3=/8:Q;0)L@%[M M,B3*!PK2HLFX# )BW8)9C7Y^5^8YIEU3 XF6&J[KKW71G]F<%\683B3)Z.<8 M--1FG>+WC).THOT:T?56?4****X#ZD^E_P#@D3X_E\!?M]^"-K[;?6FN-*N% MSCS%E@?8/PE6,_\ ?QK]S:_GQ_89U!]._;0^%$D:!V;Q;ID1!ST>ZC0G\ Q M/X5_0=7ZOX?U6\'4@^DOS2_R/X8^E)@X0S_"XF*UG1L_^W9R_P#D@HHHK[T_ MF(_('_@X _Y/(\-?]B9:_P#I=?U\,U]S?\' '_)Y'AK_ +$RU_\ 2Z_KX9K\ M&XE_Y&E?_%^B/]._!_\ Y(S+O^O:_-A1117B'Z27O#>@S^*O$5AI=KL%SJ5S M':Q%SA0\C!5R><#)%?8O_#ASXW?\_?@7_P &DW_QFOE+X*_\EC\)?]AFS_\ M1Z5_1]7VG"60X7,85)8F_NVM9VWO_D?SIXZ>)^=<)U\'3RGDM54W+FCS?"XV MMJN[/Q \#+=YH_"=IKD* EFTS5+>1@.>B.RNQ]E4]:^=/'?P[U M_P"%WB"32?$NB:KH&IQ#\9Z+;:K9RJ?)F("W-DY_Y:0R#YHV&!TX.,$$$@^[CN *#@WA*C4NTM5]Z2 M:_$_,^&_I1YC"O&&>X6$Z;WE3O&27>TI24O2\?4_G6HKU/\ ;*_9>U3]D#X_ MZQX+U&1[J"V(N=-O2FP7]I)GRY<=CP58#@.C@9QFO+*_,ZU&=&I*E45I1=FC M^RLMS'#X_"T\;A)U"&^B 8J)-C F,_[++E2.X8CO7]%OA+Q/:>-O"NF:SI[F6PU>TBO;9S_ M !Q2('0_BK"OYK*_>;_@EQXQE\=?L!_#.]F9V>#37T\%NNVUN);91]-L('TK M]#\/\4U5JX;HTI?<[/\ -?K/?J* M**_43^+3\1_^"TW_ "D&\5_]>6G_ /I)%7RG7U9_P6F_Y2#>*_\ KRT__P!) M(J^4Z_G_ #S_ )&-?_'+\V?ZG>&O_))Y;_UXI?\ I""BBBO+/MCU_P#X)_?\ MGN_"K_L9K'_T&5 \< MR,"K*RG@@@D$'J#7FYMEE/'X:6'J==GV?1_UT/K^!N,<7PQG%+-L)KRZ2CTG M!_%%^NZ?1I/H?S245]$_\%)_V)[K]C#X\SVEG%*_@WQ SWF@7#$MMCR-]NQ/ M\<18+DG+*4;JQ ^=J_!<7A:F&K2H5E:479G^G^19WA,WP%+,\!+FI54I)_H^ MS3T:Z--!1117.>L7_#'B:_\ !?B2PUC2KN:PU/2[A+JTN8CMD@E1@R.I]00# M7[4?!/\ X*7:/\6?V.(/&H-LGC&'&EWFF+_RSU +G>%Z^2R_O ?0[<[@:_$2 M]O(M/LY;B>1(H8$+R.QPJ*!DD_A7F/P._;BU'X2_M'P^(=]P_A:XQ87U@I^_ M:[O]8%Z>:I^<=^JY )KT<)FF98/"XA9;\GG?;J?K'JVK7.O:IX((/XU9K^9:CDY-SWZW MWN?%QBHI1CL@HHHJ!A7UQ^P'^SQ_9UH/'.L6W^D7"E-)CD7F-#PT^#W895?; M#' _UFM_;V,C[D'^[3ZR6\O2/3^]_A/Q MOQ2XM]A2_L?"R]^:]]KI'^7UEU\O4FHHHK^HC^?PHHHH **** /B_P#X*2>( MQ??%+1-,5LKIVG&9A_=>61LC\HU/XU\YUZC^V=XA_P"$C_:0\2.K;H[22.T0 M9SM\N-58?]][OSKRZOX-X]QWUOB+&5[W_>22](^ZOP1_8'!^$^K9)A:7]Q/Y MR]Y_BPHHHKY$^D"BBB@#U']CWXEGX9_';299)-EEJI_LVZR<#;(0$)^D@0_0 M&OT+K\I$J_>1]'927R?*_FS\(\8,FY9T&K_ %6\?9::=;O/?%^IZU>MFZU.X>XD&C+HHHK^3S^BPHHHH *[?]FO7?^$<^/?A*Z)"J=3A@8]@LC>63 M^3FN(JQI.HR:/JEM=PD"6UE69/\ >4@C]17=EF+>%QE+%+[$HR^YIG+CL,L1 MAJF'?VXM?>K'ZJ45!97L>HV<-Q$=T4Z+(A'.5(R/TJ>O]$8R4E='\3--.S"F M22+&A9B H&22< "GUX)^WK\:F^'OPY30+";R]4\2!HW*GYH;8?ZP^V[(3Z%_ M2O&XASNAE&75 _M@_M& MR?&KQJVGZ=.Q\,Z1(5M@IP+N0<-.?U"^B\\%C7CE%%?P=G>< MW?R79+R2T7D?V!E65X?+L+#!X96C%6]>[?FWJPHHHKRCT HHKM?@[\ /$WQQ MU,PZ)9?Z-$VV>]G)2V@]BV.3R/E7)]L,H8 M6DZ^)FH06[;LCBJ*^W_AA_P3Z\)>$X8YM>DN/$EZ!EE=C!:J?9%.X_\ F(/ MIVKV'P]\-_#_ (1B5-*T/2=/"]/L]HD9_$@9)]Z_9LH\"LVQ$%/'5HT;]/CD MO6S4?NDS\NS+Q=RVC)PPE.56W7X4_2]W]Z1^7]%?JO-;IUOUKT\9X 8J,+X7&1E+M*#BOO M4I_D<&&\9"J7:WB])+U3_ #5UYE&BBBOF M3W@HHHH ^V_V'OVCV^)?AX^&M9N/,UW28MT,LC9:]@'&2>[IP#W((/)S7T#7 MY=^ ?&U]\-_&.G:YILACO-.F$J<\..C(?]EE)4^Q-?I5\/\ QM9_$?P7INN: M>Q:TU.!9D!.2A/#(?=6!4^X-?U]X0<:2S; /+\7*]:BEJ]Y0V3\VMG\F]6S^ M:?$SA:.6XQ8W#1M2J].D9=5Z/=?-;(VJJ:__ ,@*]_ZX/_Z":MU4U_\ Y 5[ M_P!<'_\ 037Z[6_AR]&?FM+XUZGY74445_G(?W %%%% ':?!?X#ZW\=]4O;3 M1'L5EL(EFE^TRF,;2<#&%.3FN_N?^">GQ!@BW*="F;^XEX03_P!](!^M=+_P M30_Y'KQ-_P!>$?\ Z,K[$K^B_#WPPR7.LCIX_&<_/)R3Y966DFEI9]$?B7&G M'^:97FT\'A>7DBH[J[U2;ZH_.3QG^ROX_P# ENTU]X:OGMT!9I;4K=*H'4GR MRQ ^H%>?$8.#P17ZN5X3^UO^REIOQ+\,7VNZ+9QVOB:SC:<^2NT:BJC)1P." M^.C=2< \8QEQ9X'_ %;#3Q63593Y5=PE:[2WY6DDWV36O>^]\.>+/UBO'#YI M34>9VYHWLGYIMZ>=].Q\,T445_/)^U!1110!](?\$X_B&^D?$'5/#4K_ .C: MQ;_:85)Z3Q=$;A25,FHQVN1Z3?NB/R*].]MI(9HTFAF4HZ.H974C! M!!X(([5\X_%3]@93KG]M_#_5V\/7ZMYBVSRR)'&_K%*N7C^F#UX('%=^;\/9 MCE6*KXS*:2KX;$7]M0ORN[5I3IONU\2W?2^G+Q9;G6"S'#T<-F51T:]"WLJU MKJR=U&:[)[/IUZW]G^"WPIM_@O\ #^T\/VMW->PVCR.)I5"LV]RQX''&:H?' MOX!:3\?O#$&GZC)+:3V&7GJK#&1Z@'M7A46M?M(>!(C;26;: MO$ORI*T=MZ5^T5\68A:W#'0+*88=UEALP/J4)F_*N>I MQ5@:N7?V0LIQ,H'#N+IX[^TO[1H*5W+G517N] MW:V[[;=#K/BA\>+']D_X60^$=/UIO$?B>UB-O;&55+649SM:;''R# 53R0%R M,'PM3+LJDYNJ[U:K7+SN][1CTC?7_@ M;E%%%?IY\ %%%% !7\\_[:G_ ">1\6O^QSUC_P!+IJ_H8K^>?]M3_D\CXM?] MCGK'_I=-7Y[X@_[O1_Q/\C^JOHK?\C7'?]>X_P#I1YG1117Y:?VT%?5G_!%G M_E(-X4_Z\M0_])):^4Z^K/\ @BS_ ,I!O"G_ %Y:A_Z22UZF1_\ (QH?XX_F MCXGQ*_Y)/,O^O%7_ -(9^W%%175Y#8V[33RQPPIRSR,%5?J3TKR/XT_M[?"' MX!Z;-+XA\=Z#]IB4D6%C<+>WCD#A1%$689[%@![BOWJOB:5&/-5DHKS=C_,' M+LIQN8551P-&563Z1BY/[DF?/?\ P7U\0V=A^R%H&G3%#>ZAXH@>W0_>"QV] MP7<>PW*I_P"N@K\@*^@_^"B'[=^H?MS?%>WOTM)](\+:#&]OHVG2N&D0,07F MEQQYLFU<@9"A% )P6;Y\K\0XES&GC#G"6+X=X7HX#'J MU5N4Y*]^5R>D;]TDKVTO>U]PHHHKP#]2/=O^"9GA6;QC^WE\,;2%6+0:P+YL M=EMXWG;\,1FOWNK\J/\ @@1^SS/KWQ1\2?$R\@8:?H-J='T]V7B2ZFVM*5/J MD0 /_7<>E?JO7[#P+A)4LO=27VY-KTT7Z,_@#Z2F=TL;Q5'"47?ZO3C%_P") MMS?W*45ZW"BBBOLS^>C\@?\ @X _Y/(\-?\ 8F6O_I=?U\,U]S?\' '_ ">1 MX:_[$RU_]+K^OAFOP;B7_D:5_P#%^B/]._!__DC,N_Z]K\V%%%%>(?I)TWP5 M_P"2Q^$O^PS9_P#H]*_H^K^<'X*_\EC\)?\ 89L__1Z5_1]7Z=X>?PZWK']3 M^,?I6?[WEW^&K^< HHHK]&/Y)/R]_P"#B#PW:VOBGX5:PD8%]?6NIV6G_\ I)%7RG7U M9_P6F_Y2#>*_^O+3_P#TDBKY3K^?\\_Y&-?_ !R_-G^IWAK_ ,DGEO\ UXI? M^D(****\L^V/7_\ @G]_R>[\*O\ L9K'_P!'+7] M?S]?\$_O^3W?A5_V,UC M_P"CEK^@6OU3P^_W6K_B_1'\/_2H_P"1U@O^O3_]+84445^@'\MA1110!Y'^ MVO\ LGZ3^V/\!]3\(Z@8[:__ ./K2+]DW&PNU!V/Z[3DJP'56;'."/P0^('@ M+5OA;XWU7PYKMG)8:QHMT]I=V\@YCD0D'Z@]01P001D$&OZ2Z_/G_@MK^PG_ M ,+#\(M\7/"]B7US080GB"&%,M>V2# N,#JT(&&/_//DX$8KX7C/(OK-'ZY1 M7OPW\X_YK\K^1_2OT>O$O^R4K/2\F?E#117 M*_&'XD1_#7PF]PI1KZYS%:1GG+]V(]%'/Y#O7Y/&+E)1CNS^YL9BZ6%H2Q%= MVC%7?]?D>>_M._%(NQ\.6,HP,/?.IZGJL?\ (G\!ZUXO4EU=R7]U+/.[RRS, M7=V.69B'M6M;^QGEM;VRE6>" M:)MKPR*0RLI'0@@$?2OUT_8J_:AM?VI/@];ZFYCB\0:9MM-8MEP-DV.)%']R M0 L/0[EYVDU^.^('#GL*O]I8=>Y)^]Y2[^C_ #]3DH5+KE9Z_5[PWXEZ? US?7\JP01KU9F.!]!ZGH!5&OLC]@C]GD^%M$'C35H-NH:G%MTZ-UY@ MMSUE]F?M_L_[U?/<%\*U\_S.&"IZ1WG+^6*W?J]EYOM<\3BGB*EDV EBYZRV MBN\NGR6[\O,]@^!'PC.O/:*; M?HE327S=C\W_ !_XB/B[QUK.JDECJ=]/=9QC[\C-_6LBBBO\ M[*]:56I*K/>3;?JS^VJ5.-.$:<-DK+Y!11161H%%%% !7U)_P3=^)?V?4]:\ M)7$F$N5&HV8)P-ZX24#U)78?^ -7RW72_![X@2_"SXG:+KT1;;I]RKRJO62( M_+(OXH6'XU]5P3GSR?.L/CV_=4K2_P ,M)?:1\]Q5DZS3*JV#2]YJ\?\ M2U7WM6]&?IO145I=Q:A:Q3PNLD,R"2-U.0ZD9!'U!J6O[U335T?QZTT[,^=_ M^"B'Q/\ ^$:^&MGX;MY"+KQ!-OF /*V\9!(/IN:U_#GB3Q#_;&?5J\'>$'R0_PQZKU M=Y?,_K3@7)?[,R>E1DK3E[TO673Y*R^04445\&?7A1110 4444 ?I3^SUKW_ M DOP-\)WA;<[Z7!&[=T5_H!PIC/K>383$=94X-^O*K_ (G\:<187ZMFF)H?RSDEZ7=OP"OS ME_:D^)9^*GQNUK4%D\RSMI396>/N^3$2H(]F.Y_^!_A7W?\ '#Q@? /P@\1Z MNC%)K.PE,+9QB0C;'_X\5K\SJ_%/'O.I1AALJ@]'>K.?95!8^P-;8?#U*]6-&DKRDTDEU;T2^;,ZU:%*G*K4=HQ3;?9+5L]#_94_ M9>N?CSKK7=]YUIX:L'Q<3IP]R_!\I">^.2>P]R*^[O#7AG3_ =HMOINEVD% MC8VJ[(H8EVJ@_P 3U)/))YJMX!\#:?\ #;PA8:)I<7E66GQ"-/[SGJ68]V8Y M)/J:V:_MW@+@;"\/8)124J\DN>7G_*O[J_'=G\G\8<6XC.\6Y-M48OW(^7=_ MWG^&R"BBBOO3X\**** "O._V@_V=-'^/GAMHKE$M=8MT/V+4%3+PGKM;^\A/ M4'IG(P:]$HKAS++<-F&&GA,9!3IR5FG_ %H^S6J>J.O X[$8.O'$X6;C..J: M_K;NMF?EWX]\":G\,_%EYHNKVYMKZR?:XSE7'9E/=2,$'WK'K[C_ &[/@;'\ M0_AR_B*R@!UCPY&96*CYI[;K(I]=O+CTPWK7PY7\0\><(U.'LTEA+MTY>]!O MK%]'YIZ/[]FC^L.#^)89UE\<3M-:379^7D]U]W0****^+/J0KZ\_X)O?$QK_ M $+6?"=Q)N:P87]F#VC8A9%'L'VGZR&OD.O3_P!CCQ@?!W[1/AYRX6'493I\ M@_O>:I51_P!][#^%?<>'.=2RSB'#5T[1E)0EZ3TU]'9_(^3XXRN./R6O2MK% M+=4U64%9-4O);MQZ& M1RY_G6;7^=F/J4YXFI.E\+DVO2^GX']M8.$X8>$*GQ)*_K;4****Y#H.A^$1 M(^+'AT%O$7[0GA&W0%FCU&.ZX](?WQ_1#7Z/U M_4G@%1DLNQ55[.:7S4;O\T?S]XQU8O'8>GU4&_O?_ 84445^^'XX%%%% !11 M10 4444 %%%% !7\\_[:G_)Y'Q:_['/6/_2Z:OZ&*_GG_;4_Y/(^+7_8YZQ_ MZ735^>^(/^[T?\3_ "/ZJ^BM_P C7'?]>X_^E'F=%%%?EI_;04444 %%%% ! M1110 5ZM^R1^R!XO_;'^)<.@>&;1TM(F5M2U25";72XCGYY".K$ [4!RQ'8 MD>5H^QU)4, 02#T;VK[9_96_X+2:O^SIX8L/#3_#7P6WAJSP!%HHETVX;/WI M'9FE620]22 6QR>]>CE5+!SKKZ]-Q@NR;OY:;>NI\=QOC>(,/ELGPWAU5Q#N MES245'SL[*3[*Z7=]'^J?[/7P&T#]FGX0Z-X-\-P&+3=(AV^8^/-NI2PS@8 ';5\[?LI?\%//A7^UI=PZ9I>J2Z#XFEP%T;5U6"><^D+@F.4 MYS\JMOP,E0*^B:_=\#7PU6BGA&G!:*VRMT\C_,KB3+85(9W3G"O)N4N= M.[;=W*_6[ZJZ?0****[#P3\@?^#@#_D\CPU_V)EK_P"EU_7PS7W-_P ' '_) MY'AK_L3+7_TNOZ^&:_!N)?\ D:5_\7Z(_P!._!__ )(S+O\ KVOS84445XA^ MDG3?!EQ'\8/";,P55UBS)). !YZK+%.C[%27P<]^9I_P T;6MYG]$? MCC]JWX8_#6WDDUWX@^#M,,8)\J;5X!,V"0=L8;>QX/ !/!KXY_:Z_P""ZOA? MPMHEWI'PDMYO$6M2H8TUJ\MVAL+,GC>D;@22L.)+_6-6O)]1U35+A[J[NIW+27$KL69V/50RK"2YJ>%33:V=25N;UY4E'UY@HHHK[4_G4_$? M_@M-_P I!O%?_7EI_P#Z215\IU]6?\%IO^4@WBO_ *\M/_\ 22*OE.OY_P \ M_P"1C7_QR_-G^IWAK_R2>6_]>*7_ *0@HHHKRS[8]?\ ^"?W_)[OPJ_[&:Q_ M]'+7] M?S]?\$_O^3W?A5_V,UC_Z.6OZ!:_5/#[_ '6K_B_1'\/_ $J/^1U@ MO^O3_P#2V%%%%?H!_+84444 %17%O'=VSQ2HDL4JE'1UW*ZG@@@]0:EHH:!. MVJ/PT_X*L_L5#]B;XQ7.IV,9A^'WB+S;[2YCDI8$?-+:,?\ IGG*YZH5Y)#5 M^6WQ4^(<_P 2/%LUZX:.U3]W;1$_ZN,'^9ZGZ^U?M9_P<"_M2Z7\<;-O@;H\ MD$]MH]PM[K5\JAS%>JI\J!&[>6&)DQU+!,C:P/X=Z_H5UX9UFYL+R,Q7-JY1 MU['W'J#U![@U^+YAA\)2S"K'"NZ3V[/JEZ/3RV/[IPF<\18WA/+YYS#EYXWY MNLTO@E-=&XVEUYK\WDJ=%%%9GC!7J/[(/[2E]^R_\9++78O-FTFYQ:ZM:J?^ M/BW8C) Z;T/S+[C'1C7EU;?PV^'>K?%GQSIGAS0[8W>J:M.(((^@!/)9CV50 M"Q/8 GM7+CJ-"KAYT\3;D:=[]NOI;>_0<6T]#^@[]A[X06?[3^OV&MQ2I>^# M8(HKZ2YC/[N]5QNCB4_[0Y/<*#T)%?H9#$MO&J(JHB@!548"CT%?"7_!'G4] M,_9G^&.E?!U[@R6T*M-97DG!GNG^>93Z!VRR#MC;SD5]X5[_ (09?E5#)G6R MV7/*4GSMJSNG[J:Z)1LUZM];+^=_%'%XZIG#HXI6A%+D71I[OU;5GVM;I<** M**_5S\V"BBB@ HHHH *\?_;I\0?V%^SAJ\:L5?4IH+12/>0.P_%48?C7L%?, MG_!2_P 1"W\&>&=)##-W>RW97O\ ND" _P#D8_Y%?%^(F.^J<-XRK>UX./\ MX'[G_MQ]3P3A/K.>X6GVDI?^ ^]^A\?4445_"9_784Z.-I9%1 S.QP !DDTV MNE^#FA?\)-\6O#.GD;EN]4MHW'^R95W?D,UT83#RKUX4([R:7WNQCB:RHTI5 M9;13?W*YE>*_#5WX+\37^D7Z".\TV=[>8 Y&Y6()![CC(/H:SZ^B_P#@HI\, M/^$>^(=AXFMXMMMKT/E7! X%Q$ ,G_>CVX_W&KYTKV.*LCGD^;5\NEM"6C[Q M>L7\XM'F!.F7C/X_.OU<5L?\%%OB?_ &_\ M0+#PQ;OFWT*+SK@ ]9Y0" ?]V/;C_?:OZCP7B![/@%XOF_?P7L5WYK63]5#W MO5,_G[%<&<_&2PW+^ZD_:OMR[M>CE[OHT?.5%%%?RX?T"%.BB:>1416=W(55 M49+$]A3:]?\ V)/A;_PLCXX65Q/'OT_0!_:,^>C.I_=+_P!]X..X0UZF2955 MS/'TR^;T/,/%?AF[\&>);_2; MY%2[TZ=[>8*<@,IP<&L^O4?VT-'_ +%_:4\2H!A)WAN%/KOAC8]_[Q/Y5Y=3 MSS + YCB,$MJG%L+>Z9YP]VCE0 M ?E(WY5]H5_:OA%C/K'"^'3WAS1^Z3:_!H_E;Q*POL>(*S6TN67WQ5_Q3/%/ MV_-7;3?V<[V$9QJ%[;VY^@?S/YQBO@ZOMK_@I 2OP-TL G!UR$'W_<7%?$M? MA/C=6E/B3E?V:<%^;_4_7?">FHY'S+[4Y/\ )?H%%%%?D!^F!7TO_P $V? Z M:CXSU[Q!+'G^S+9+6 GL\I)8CW"ICZ/7S17V9_P36B5?A?K[@#>VJX)[D"%, M#]3^=?I7A'@J>(XHP_M-5#FE\U%V^YV?R/A?$C%3H7+'Y.2O\ >M/F M?2%%%%?VL?RJ%%%% !1110 4444 1S0)=0/%*BR1RJ4=6&0P/!!]L5^9'Q8\ M&CX>_$S7M%7=Y>F7TL$1/5HPQV'\5P?QK].Z_/C]MF)8?VGO$ZJ 3;-@>IM M82?U)K\'\>\%"65X;%OXHU.5>DHMO_TA'Z_X.XJ<'O%&FZ@K;6L;J*X!]"CAL_I6?15TJDJPV7C? MQ*TTT4(:QC +L%S^\]Z^NI_$VFVD1>74+*)!U9YU4#\2:_+*BOV3A#Q=GD65 MPRV.%4^5R?-SVW;>W*]K]S\PXE\-H9OF$L?+$.',DK;Q3XM9SG-"6$2C2I2T:C>[79R?3R25] MG='=P]X;Y7E=98EWJ5%LY6LGW277UO;H%%%%?EI^@A116AX6\,7WC3Q%9Z5I MEN]U?7\HAAB7JS'^0'4D\ D]*NE2G4FJ=-7DW9);MO9(F9/\ 1]*@^R0,1PTTG+$'U5 0?^N@K[(KD/@?\*;;X+?# M73M!MV662!?,NI@,?:)VY=_IG@9Y"@#M77U_=7 '#;R3)*."J?Q/BG_BEJU\ ME:/R/Y%XRSQ9MFM3%0^#X8_X5M]^K^84445]F?+A1110 4444 %%%% !1110 M 5_//^VI_P GD?%K_L<]8_\ 2Z:OZ&*_GG_;4_Y/(^+7_8YZQ_Z735^>^(/^ M[T?\3_(_JKZ*W_(UQW_7N/\ Z4>9T445^6G]M!117L/["7[--C^UO^TGH_@; M4=3N](M-2@N9FNK:-9)$,4+R -QR5P?K6N'H3K58T::O*327JSS\US/#Y=@ MZN/Q;M3I1/45^K'_$/3X-_P"BB>)O_ &#_&H[O_@WJ\)O M;.(/B-XBCE/W6DTZ%U!]P&!/YBOI/]3,U_Y]K_P)?YGY$OI#<#M_[S+_ ,%U M/_D3\JZ*^_\ XN?\&_\ XZ\,V$UQX.\8Z%XJ,8W+:WENVF7$O^RIW21D_P"\ MZC^5?$'Q-^%GB+X,^,[SP[XJT:_T+6K!L36MW&4< ]&'9E(Y#*2K#D$CFO'Q M^4XS!6^LTW&_7=?>M#[_ (9X\R#B%/\ L?%1JM:N.JDEW<9)2MYVL<_1117G M'UQ)!.]M,DL3M')&P964D,I!R"".AK]5?^"1W_!3^]^+5[:_"[XBZ@USXB6, MC0M8G?,FIJBY-O,QY:8*"5<_? (/S@%_RFJ]X<\0WWA'Q!8ZKIES+9:CIEPE MU:W$1P\$J,&1U/J& /X5ZN3YO6R[$*M3>G5=U_GV?0^&\0. \!Q5E4\!BXI3 M2;ISMK"71KR?VEU7G9K^E:BO.?V2_CK!^TO^SEX1\;PK&DFN6"O=11_=AN4) MCG0=\+*C@9Z@#UKT:OWNC6C5IQJP=U))KT9_E_C\%6P>)J8/$+EG3DXR79Q= MFOO1^0/_ < ?\GD>&O^Q,M?_2Z_KX9K[F_X. /^3R/#7_8F6O\ Z77]?#-? MA7$O_(TK_P"+]$?Z8>#_ /R1F7?]>U^;"BBBO$/TD**?%$\\JHBL[N0JJHR6 M)Z #UIE 7"BBB@ HHKWO_@GK^S;X$_:K^-O_ B/C3Q7J?AB:\B#:8MI#'_Q M,I!DO#YKY$X5^EY+P/"C)5LW]Q)M1_Q7;[*+U(+*S@TRRAM M[:&*WM[=%CBBC0(D:@8"J!P !Z5/117Z$D?RLVV[L****!'XC_P#!:;_E M(-XK_P"O+3__ $DBKY3KZL_X+3?\I!O%?_7EI_\ Z215\IU_/^>?\C&O_CE^ M;/\ 4[PU_P"23RW_ *\4O_2$%%%%>6?;'K__ 3^_P"3W?A5_P!C-8_^CEK^ M@6OY^O\ @G]_R>[\*O\ L9K'_P!'+7] M?JGA]_NM7_%^B/X?^E1_P CK!?] M>G_Z6PHHHK] /Y;"BBB@ KYW_P""DW[:]M^QC\ [F]LY87\8Z^'LM!MFP2LF M/GN64]4B!!Z$%BBG[V1[AX\\(- M\NT5;1M'E6J:KWMQ-=7=Y*T\\\KEY)I&)9G9CR6))))[FO)OVDOA8 M?$VC?VW91@W^GI^^51S/$.<^Y7D^XSZ 5ZC2D @YR17XS2J2A/G6Y_H-FF54 M,=A)8.JO=:T\GT:]/^!L?%5%=_\ '_X6_P#"!>)/M=I'MTO46+1@#B!^K)]. MX]N.UX5^D_\ P2Y_9&'PJ\#+ MX[UVV"^(O$< -E'(OS6%FV"#[/+PQ]%VC@EA7S1_P3A_9)_X:%^*']MZS:^; MX1\,R+)(7$?*O[+P[U?QO\ MH_J_*RZLSH4_M,EM+N6PNXIX)'AF@<21R(Q5D8'(((Z$'O7Z%?LL_'F+X[?# M>.XG=%UO3=MOJ,0P,OCY90/[K@$^Q##M7YXUVWP!^,]Y\#/B-:ZS;[I;5OW- M[;@\7$!(W#_>& 5/J!V)!\7PVXTEP_F:E5?[BI937;M+UC^*;6]CY/CKA:.< MX!JFOWT+N#[]X^C_ #LS])J*H^'?$%GXKT*TU/3YTN;&^B6:&53PZ,,@^WT[ M5>K^V:=2,XJ<'=/5-=5W/Y3G"4).,E9K<****LD**** "OBG_@H_XA_M#XOZ M5IRME-.TQ6(S]UY)')_\=5*^UJ_.[]L'Q'_PDW[1WB>96REM<+9KCHOE1K&? M_'E;\Z_&_'''>QX?C06]2I%?))R_-(_4/"7">USIUG]B#?S;2_)L\THHHK^0 MS^E KU?]B;0O[>_:3\/[AF.S\ZZ;VVPOM_\ 'BM>45]$_P#!-S0_MGQ:UG4" MNY+'2S&#_=:25,'\D;\Z^OX!P?UGB+!TO^GD7_X"^;]#YKC'$_5\DQ53^XU_ MX%[OZGT9^U5\,/\ A:WP1U>PBC\R_M$^W68 RWFQ@G:/=EW+_P "K\ZJ_5RO MSI_:K^&'_"J/C=J]A%'Y=C=O]NL@!A?*D).T>RMN7_@-?L/CQP]_ SJDO^G< M_P 7%_\ I2OZ(_,O!_.OXN55'_?C^"DOR?WL\YHHHK^;S]R+6BZO<>'M9M+^ MTD,5U8S)<0N/X'1@RG\"!5CQCXINO&_BO4=8OFWW>IW#W$OH"Q)P/0#. /0" MLVBMEB*BI.AS/EO>W2]K7];&?L:?M/:V]ZUK];;V"BBBL30*^[_V$/A9_P ( M!\%HM2GCV7_B5Q>N2.1".(5^FW+C_KI7QU\$_AO-\6OBCHV@QA_+O9Q]H=?^ M6<*_-(W_ 'R#CWP.]?I99V<.GVD5O!&L4,"".-%& B@8 'L!7] ^!/#OM<56 MSFJM*:Y(?XG\3^4;+_MX_&/%[._9X>GE=-ZS]Z7HME\WK_VZ?$__ 49T;[! M\<;*Z4?+?Z5$Y/\ M+)(I'Y!?SKP&OJG_@IGH^V[\(:@HSO2ZMW/I@Q,O\V_ M*OE:OSOQ/POU?BC%P[R4O_ HJ7ZGV_ &(]MP_AI=DU_X#)K] HHHKX(^P/5_ MV)M=_L']I/P_N.([SSK5O?="^W_QX+7Z"U^8WP@U[_A&/BMX:U MM2RU.VE< M^JB5=P_+-?IS7]5> F,Y\JQ&%_DJ7^4HI?G%G\\^,.%Y_ !),*?LFJ02DG^'*R)Q_WW^M?#-?HE^UWX=;Q-^SEXI@5=SP M6PO!@<@0NLI/_?*'\,U^=M?GWCIA73S^G6Z3IQ^]2DG^A]GX1XA3R>=+K&;^ MYJ+_ ,PHHHK\6/U,*^M_^"9VOK)H_BK2F;YX9H+M%)ZAE=6(^FQ?S%?)%>O? ML0_$=/A]\>K".=PEIKL;:;*2>%9R#&?^_BJ/^!&ONO#7-89?Q)A:]1VBY27,O^W6I?BDT??U%%%?W,?R0%%%% !1110 4 M444 %?G#^U)KZ^)?V@_%ERK;U6_:V#K;F_))6T8M_C/XHI?&O4_*ZBBBO\ .0_N **** "B ME"$H6 )4'!.. ?\ (/Y4E%@"BBB@ HHKZA_98_9,\!_%SP7;:[=:IJFJ7$;> M5>6 9;=+>4=5;;ER",$,&&1Z'('T/#/#&,SW%_4L"X\]K^]*VGYOT2;L>+GV M?87*,-]:Q=^6]M%?7\E\VD?._@7X?:U\2]=CTS0]/N-0NY.JQK\L8_O.W15] MR0*^X_V7OV4['X#:>;^\>._\2W<>R:X7_5VRDY,<>>?3+'DX[#BO2/!O@+1O MAYI(L=$TRSTRUZE+>,+O.,;F/5C[G)]ZV*_J3@7PHP>1U%C<7+VM=;.WNQ_P MI[O^\_DD?S[Q=XBXK-X/"8:/LZ+W5_>EZOHO)?-L****_6S\W"BBB@ HHHH M**** "BBB@ HHHH *_GG_;4_Y/(^+7_8YZQ_Z735_0Q7\\_[:G_)Y'Q:_P"Q MSUC_ -+IJ_/?$'_=Z/\ B?Y']5?16_Y&N._Z]Q_]*/,Z***_+3^V@KZL_P"" M+/\ RD&\*?\ 7EJ'_I)+7RG7U9_P19_Y2#>%/^O+4/\ TDEKU,C_ .1C0_QQ M_-'Q/B5_R2>9?]>*O_I#/VXHHHK^@#_+$*^0_P#@LE^RUI?QL_94U;Q7'9PK MXI\!P_VA;7:J!)):JP-Q S=2FPM(!V9!C&YL_7E>2_MXZ]:^&_V*_BO<7D@B MAD\*ZC:J3WDFMWAC'XNZC\:\[-Z%.M@JM.KMRO\ !;_(^KX%S+%8#B'!8G!M MJ:J06G5.23CZ23::[,_GUHHHK^?#_5D**** /UP_X(!_$-]>_9I\5>')79V\ M/Z]Y\6?X(KB%"%'MOBE/_ J^]*_,K_@W:NRMQ\7;?;*0RZ1(& .Q<&]!R>Q. M1]0I]*_36OW+A.JZF4T6^S7W-I?@?YI>..#AAN.,?3IK1RC+YSIPD_Q;/R!_ MX. /^3R/#7_8F6O_ *77]?#-?&O^Q,M?_2Z_KX9K\HXE_P"1 MI7_Q?HC^Y/!__DC,N_Z]K\V%%%%>(?I)TWP5_P"2Q^$O^PS9_P#H]*^G_P#@ ML)^Q!_PS1\;#XMT&T\OP7XWG>:-8T BTV].7EM^.%5N9$''&Y1Q'7S!\%?\ MDL?A+_L,V?\ Z/2OW_\ VG/V>M%_:D^">N>"M=0+;:K ?(N FY[&X7F*=.G* M-@XR-PRIX)K['A[)XYC@,137QIQ<7YV>GH]OQZ'\^>*W']7A3B?*\9)MT)QJ M1JQ[Q;A[R7>+U7?5=6?SM45TWQA^$VM_ OXG:WX1\16IM-8T&Z:VN$YVMCE7 M0GJC*0RGNK ]ZYFOD)PE"3A-6:T9^^X?$4J]*->C)2A))IK5--737DT%6=)U M6YT'5+:^LKF>SO;*59[>>%RDD,BD,KJPY# @$$<@BJU%2FUJC645).,MF?N- M_P $QOV][;]L_P"$0MM6EAA\>^&XTBU> )]L7HMW&HXVOCY@ KY& "N?IZ MOYU/V<_V@/$/[,'Q>TCQEX:N/*U#3)/GB8GRKV$_ZR"0=T<<'N#@@@@$?O9^ MS/\ M%^'OVJ?@WI/C/PU-NL]13;-;NP,UA.N!)!(!T93^8*L,A@3^R<)\0?7 MJ/L*S_>1_%=_7O\ ?U/\]O'+PL?#68?VEE\/]CK/2W_+N;U6G_^DD5?*=?5G_!:;_E(-XK_ .O+ M3_\ TDBKY3K^?\\_Y&-?_'+\V?ZG>&O_ "2>6_\ 7BE_Z0@HHHKRS[8]?_X) M_?\ )[OPJ_[&:Q_]'+7] M?S]?\ !/[_ )/=^%7_ &,UC_Z.6OZ!:_5/#[_= M:O\ B_1'\/\ TJ/^1U@O^O3_ /2V%%%%?H!_+8445\U?\%.?VWX?V-/@5(VF MRQ/XU\3+)9Z)"2";%HRKUG:,5=GKY!D>,S MG,*668"/-5JNR7YM]DE=M]$FSX]_X+<_MV-XU\5/\'_#%Z3H^B2B3Q'-$W%W M=J05MLCJL7!8?\], X,?/YY5->WLVI7DUQ2222 M2>I-0U^"9IF57'8F6(J]=EV71?UZG^H/!/".#X:R>EE.#VBKREUE-_%)^KV[ M));(****\\^L,SQGX3M?&_ANZTR['[JX7 8#+1-_"P]P?\\U\Y^"_@'XA\>_ M&:S\#6%N'U>[N1"&(/E(GWC,3U\L)EB<=!Z\5]/U^E'[*_\ P2>E\ ?LOCXD MW]A*OQ-U:V%R+5DQ);Z6<.MMMZB8\2GOT3&1772CCOJM>>!I\\H1GY^F[ MM9'X_P"+.*RK T*&*QM10J3FH1_O7WOV4=^;97L]T>9? [X.:3\ _A=I/A;1 MDQ::;%M>5@ ]U*>7E?\ VF;)]N . *ZVBBOYLK5IU9NI4=Y-W;[MGY^E;1!1 M1168'TU^P+^T-_8.IKX'U>(9CRT7L'/(_VLC^*OL*ORF@G>UG M26)WCEC8,CJ<,A!R"#V(-?H+^R=\?$^.7PY1KF1!KVE!8-03H7./EF ]' )] MF##IBOZ@\%^-_K%+^P<9+WX*]-OK%;Q]8[K^[IM$_ ?%/A/V-3^V,+'W9.TU MVETEZ2V?GZGJE%%%?T ?C(4444 ,ED6*)G9E55&22< 5^7'C'7F\4^+M5U1 ML[M1O)KHY.3EW+?UK]'OCKXB/A3X,^*-05MDEOIDYC/HY0JG_CQ%?F?7\U>/ M^.O5P>#713D_FTE^3/W;P:PEJ>)Q3ZN,5\KM_F@HHHK^=#]N"OKS_@F=H?D> M&?%>I%?^/FZ@M@?^N:,Q'_D4?I7R'7W=_P $_M#.D_L[V\^W']J7]Q"V#]MQ-"I_P ^X3E^'+_[4EK%_*27R/Y[X=S: M669E1QL=HO7SB])+[KGY;T5H>+?#-UX+\4:AI-ZFR[TVX>VE&.-RL02/8XR# MW!K/K^!*M*=.;IU%9IV:[-']CTZD9Q4X.Z>J] HHHK,L***LZ+H]SXBUBTT^ MSB::[O9D@AC'5W9@JC\R*J$)3DHQ5VQ2DHIRD[)'U=_P3?\ A;]FTW5_%]S' M\]R?[.LB>H0$-*P]BVP9_P!AO6OJ6L'X8^!;?X:?#_2=!M<&+3+=82P_Y:/U M=_JS%C^-;U?WMP9D$<49R\TS2MC/LMVC_A6B M_#5^;9\\?\%(-&^V?!S2;T#+66JHI]E>*0']0M?%5?H#^W!HW]L?LUZ^0NY[ M-H+A?PF0$_\ ?):OS^K^:?'#"^RXB53^>G%_7,,5A/YH1E_X#*W_M MY^-^,>%YL%A\3_+)Q_\ E?_ -M.^UK28=?T>[L;A=]O>PO!*OJCJ5(_(FOR M]\5^')_"'B?4=)NABYTRYDM9>/XD8J3^E?J97Q!_P4%^&#>$OBU'K\,9^P^( MX@[,!\JSQ@*X_%=C>Y+>E?6^.N1O$991S.FKNC*S_P ,[*_RDDOF?.>$6;*C MCZF F]*JNO\ %'I\TV_D>!4445_*A_0X4Z&9[>571F21"&5E."I'0@^M-HII MVU0'Z'?LK_':#XX?#:">65/[":N5XB6+PL;X>3OI]AOH_+L_EOOW-%%%?K9^;A1110 445\Y_M7?MH6G@ MBSN_#OA.YCN][Z17=OHOSV6IPW_!0'X]Q>)=8C\%Z7,'M= M+E$VHR(V1).!A8^.R G/^T<=5KYHITTSW$K.[,\CDLS,I)]:;7\.<4<0 MXC.\RJ9CB-'+9=(Q6R7HOO=WU/ZTX?R2CE.!A@J&T=WW;W?S_!:= HHHKY\] MD*^@/^"=G@;^5?/\ 7WI^PQ\,&^'WP1MK MRXCV7_B)_M\FX898B,1+]-OS?]M#7Z;X29)+,.(J51KW*/[Q^J^'_P F:?HF M?!>).;+!9)4@G[U7W%\_B_\ );_>CVBJFO\ _("O?^N#_P#H)JW537_^0%>_ M]<'_ /037]G5OXX_L9?"ZQ^,5OXUT& M_&%NM.C:&7&6MY1(=D@^A_,$CO7D'C'PE?> _%-_HVI0F"^TZ9H9DZC([CU4 MC!![@@]Z^AO^":'_ "/7B;_KPC_]&5V'[?WP#_X2?P\OC/3(MO,^-Z***_&C]0"N]_9V^.E[\!?B!%J<(DGT MZX AU"U!XGBSU';>O53]1G!-<%17;EV88C XF&,PLN6<'=/S_P NC75:,Y<= M@J.+H3PV(CS0DK-?U^#Z,_4SPSXCLO&&@VFJ:;<)=V-]$)H94/#J?Y'L0>00 M0:T*^(_V(OVEQ\-M?7PQK5P%T'5)?]'FD;"V$Y]2>B.< ]@<'@9-?;E?W'P1 MQ=A^(DUI./\LO\GNGVTW3/Y+XKX:K9+CGAIZP>L)=U_FMFOT:"BBBO ML#YD**** "BBB@ HHHH **** "BBB@ K^>?]M3_D\CXM?]CGK'_I=-7]#%?S MS_MJ?\GD?%K_ +'/6/\ TNFK\]\0?]WH_P")_D?U5]%;_D:X[_KW'_TH\SHH MHK\M/[:"OJS_ ((L_P#*0;PI_P!>6H?^DDM?*=;GP\^)&O\ PG\4P:YX9UC4 M-"UBV5UBO+*8PS1AE*L PY ()!]C77E^)6'Q5.O)749)_<[GS_%>45,UR7%Y M92DHRK4YP3>R55P#^(K])?B#AK:4I?>C^08?17SAOW\;22\E-_H MC]\/B5\6_"_P;\/2:KXK\0:1X>T^,$F:_ND@#8[+N.68] J@DD\"ORC_ ."J M7_!4BR_:ETM? /@/[4G@N"X6XO\ 4)D:)]:=#F-5C.&6%6PWS@,S!3A=HS\2 MZSKE[XBOFNM0O+J^NGX::XE:5V^K,2:J5\WG'&.(QM)T*4>2#WUNVNU]-/E\ MS]<\/?H^Y5P[C(9GC*SQ%>&L?=Y81??EO)N2Z-NRWM>S11117QY_004444 ? MJ/\ \&\/AB6T\$?%'6CN\G4+[3[)3VW01SNWX_Z0OZ5^CM?-_P#P2B^ DW[/ M_P"Q1X8L[V VVJ^(R^OWZ$$,KW 7RP0>0P@2$$'H0:^D*_>N'<++#Y;1I2WM M?[W?]3_+_P 6U^;"BBBO$/TDZ;X*_\EC\)?]AFS_\ 1Z5_1]7\X/P5_P"2Q^$O^PS9 M_P#H]*_H^K].\//X=;UC^I_&/TK/][R[_#5_.!\$?\%M?V(1\5/AROQ4\.60 M;Q#X3MRFL1Q+\U]IXR?-('5X22<_\\RV2=BBOR2K^E^XMX[NV>*5$EBE4HZ. MNY74\$$'J#7X9_\ !3_]BN3]CK]H.>+3;=QX,\3;[[0Y.2L(R/-M2?6)F &> MJ,AR23CDXWR3DG_:%%:/27KT?SV?GZGN?1N\1_K%!\*X^7OP3E1;ZQWE#UCO M'^[=:**/FRBBBOSP_K(*^DO^":7[=MY^Q;\9%^WR37'@?Q$Z0:U:C+&#G"74 M8_OQY.0/O(67KM*_-M%=.$Q=7#5HUZ+M*.QY&?9%@\YR^KEF80YJ516:_)KL MT]4^C29_2SH>MV?B;1K34=.NH;VPOX4N+>XA,KW;IE_*1X9O9WP+2=CDV;$_P #L24]')7G>NW]3:_= MLFS:EF&&5>GOLUV?;_(_S(\0.!\;PKF\\LQ6L=X3Z3@]GZ])+HT^EFRBBBO5 M/B3\1_\ @M-_RD&\5_\ 7EI__I)%7RG7U9_P6F_Y2#>*_P#KRT__ -)(J^4Z M_G_//^1C7_QR_-G^IWAK_P DGEO_ %XI?^D(****\L^V/7_^"?W_ ">[\*O^ MQFL?_1RU_0+7\_7_ 3^_P"3W?A5_P!C-8_^CEK^@6OU3P^_W6K_ (OT1_#_ M -*C_D=8+_KT_P#TMA1117Z ?RV87Q+^(^C?"'P%JWB?Q!>QZ?HNB6SW5W%M!\-7&_79HG^6^OEZ09'5( M>?6:WU.B_<@]?.7^2V];^1_>7T>_#3^R,O_M_,(6Q M&(7NI[PIO5>CGN^T;+1\R"BBBOB#^D@HHKOOV9OV>M;_ &I/C3HG@O04_P!* MU6;]].RDQV4"\RSO_LHN3CN<*.2!5TJ4ZDU3IJ[;LEYG+C<;0P>'GB\3)1IP M3E)O9)*[;]$?2_\ P1R_83;]HCXKCQYXCL_,\%^#;E6BCE7Y-4OUPZ1XZ%(_ ME=^Q)1>0S8_8^N1^!OP7T+]GKX4Z+X.\-VOV;2=#MQ#'NP7F;J\KD=7=BS,? M5CT'%==7[MD&3QR["JE]IZR?=_Y+9??U/\R_%#CZOQ9G<\<[JC'W:4>T+[O^ M]+>7R5[)'PW^W!^SQ_PK#QB?$.EV^W0=;E)=4&%L[DY+)[*W++_P(=A7@]?J M#\0O >G_ !-\&ZAH>J1>;9ZA$8VQ]Z-NJNOHRG!'N*_.#XK?#/4/A%X[O]!U M)1Y]F_R2@86XC/*2+[$?DZ^:V2/U M#PUXL_M'"?4<3+]]27_@4=D_5;/Y/JSG:***_'#]."NP^!OQ>O?@E\1++6[3 M=)"A\J[@!P+F!B-R?7@$'L0*X^BNK!8VMA,1#%8:7+.#3371HY\7A:6)HRP] M>/-&2::\F?J9X7\2V7C+P]9ZKILZW%C?Q+-#(O\ $I&>1V/8CL-?9=?W3P5Q50X@RR&-IZ3 MVG'^62W^3W7D^]S^1N*N':N38^6$GK'>+[QZ?-;/S\@HHHKZT^>3\_FD#_ (#&?PS7P57UU_P4Q\0F'P[X5TH$_P"DW$]V MX[#RU5%/_D1L?0U\BU_'/C5CO;\2SI?\^H0C]ZY__;C^G?"O">QR&-3_ )^2 ME+\>7_VT****_)3]'"OTA_9FT+_A'OV?_"-L5*EM-BN"/0RCS3^.7K\X8('N MITCC&]Y&"J!U)/ K]3- TE- T.RL8\>79P);K@8&%4*/Y5_07@#@^;&8O%?R MQC'_ ,";?_MI^,>,F)MAL-A_YI2E_P" I+_VXNT445_3Q^!'Q9_P42^&'_"- M_$BQ\2V\96V\00^7.0.!<1 #)]-R;/Q1C7SM7Z)_M7_"_P#X6K\$-7LHH_,O MK%/M]GQDF6,$[1[LI=?^!5^=E?QIXP\/?V;GTJ]-6A77.O\ %M-??[W_ &\C M^H/#+.OKV3QHS?OT?=?I]E_=I\@HHHK\J/T0*]]_X)]_"S_A,/BO+K]Q'NLO M#<6]"RY5KAP50?\ 1N;V(7U%>!5^AO[(GPL_P"%5_ _2X)H]E_J8_M&[XY# MR %5/NJ!%(]0?6OU+PBX=_M//H5JBO3H>^_5?"O_ +7TBS\^\2L[^H9/*E! M^_6]Q>C^)_=IZM'I]%%%?V]%_P"$A^"7BRT"[WETJX,8'=UC9E'_ M 'T!7YI5^JNH6*:II\]M*,Q7$;1N.O!!!_0U^5][:2:?>2P2C;) YC<>A!P? MUK^9?'_"VQ&#Q/\ -&FOT(J***_GD_:@K M[@_X)V:__:GP+N;,M\^FZG+&%ST1D1P?Q9G_ "KX?KZL_P""9FNXE\6Z8S=1 M;W48_P"_BL?_ $"OU+P;QOL.)Z4.E2,X_P#DKDOQBC\^\3\+[;(*DOY'&7XV M_)GUA7GW[3'P<3XW?"F^TI HU&#_ $K3W.!MG4'"Y[!@2I]-V>U>@T5_8.99 M?0QV%J8/$J\)IQ:\G^O9]&?S-@<;5PF(ABJ#M*#37JOZU/RGNK66QNI89HWA MFA8QR(X(9&!P00>A!%1U]1_MZ_LVM87LWCG18"UO.P_M:%%_U3G@3@>C Q*VUB^DHO:2]>O9W70_K_A[/:&;X&&,H/?=?RRZ MI_UJK/J%%%%?.'MA5WP[XCO_ EK$.H:7>7%A>VS;HYH'*.I^H[>W0U2HJZ= M25.2G!V:U36C7H3.$9Q<9JZ?1GTU\+O^"CNJ:3%';>+-*358U&#>69$,Y'JR M'Y&/T*"O8_#O[='PWUZ%3+K%QIDK?\LKNSE5A^*!E_\ 'J^ J*_4KC/'3/JL.2C3IT_-1;?XR:_!GGX7PCR>G+FJSG/R;27X)/\3V+XR?ML>+OB MQ;RV4$B>'])ERK6]FY\R5>F'E."1U&%"@]P:\=HHK\JS?.\?FE?ZSF%5U)=V M]O)+9+R22/T/+7TO88*FH1\NOJ]V_-W"BBBO+/0"BBK.D:1=?LQ? :#X# M_#N.S<1RZQ?XGU&=>0TF.(U/]U!D#U))XS7I-?VIX8<&O(DN$2_B_TC3YV'^IF MX&?[K?=/L<]0*_.C5M)N=!U2YL;R%[>[M)6AFB<8:-U.&4^X-?S_ .*/!;R+ M,W4P\;4*UW#M%]8?+=>379G[-X?<4_VOEZA6?[ZG92\UTE\^OFGW16HHHK\Q M/O@K[1_8;_:8_P"$[T6/PCK=QNUG3H\64SGYKV!1]TGNZ#\UP>H8U\75;T'7 M;OPQK5KJ.GW$EK>V4JS02H<,C*<@U]=P5Q;B.'\QCC*.L'I./\T?\UNGT?DV M?-\4\-T,ZP,L+4TDM8R[2_R>S7;SL?JC17G7[-?Q[M/CWX"CO5\N'5[+;%J- MLI_U4A'#J/[CX)'XCL:]%K^Y,LS+#YAA88W"2YJ1\6 MO^QSUC_TNFK^ABOYY_VU/^3R/BU_V.>L?^ETU?GOB#_N]'_$_P C^JOHK?\ M(UQW_7N/_I1YG1117Y:?VT%%%% !1110 4444 %%%2VEG+J%U'!;Q23S2L$C MCC4L\C'H !R2:!-I*[(J^L_^"5'[ MY^UA\7[;Q#KEBX^'OA>X6:^>5"(]5G M7#):(?X@3@R8Z)QP76NQ_8D_X(M>,/C)?V6O_$F*Z\&>%,K+]@<;-5U%>NW8 M?]0I[M(-_HG.X?K)\.?ASH?PB\$:;X<\.:;;:3HFDPB"UM8%PD:CGZEB226) M)8DDDDU]WPUPG5K5(XG&QY8+5)[R]5T7KOZ'\Q>,/CG@L!A:F3\/554Q$TXR MG%WC33T=I+1SZ*VD=V[JQMJH10 , =!Z4M%%?K)_#)^0/_!P!_R>1X:_[$RU M_P#2Z_KX9K[F_P"#@#_D\CPU_P!B9:_^EU_7PS7X-Q+_ ,C2O_B_1'^G?@__ M ,D9EW_7M?FPHHHKQ#]).F^"O_)8_"7_ &&;/_T>E?T?5_.#\%?^2Q^$O^PS M9_\ H]*_H^K].\//X=;UC^I_&/TK/][R[_#5_. 5X_\ MQ?LH:;^V+^SYJWA M.[\J#4U'VS1[UUR;*\0'8V>H5@2C8_A=L<@$>P45^@8BA"O3E1JJ\9*S/Y8R MO,\3EV,I8_!RY:E.2E%KHT[_ /#KJM&?S7>,?"&I> /%>I:'K-I-I^K:1Y5OX\#\7*Z;X/_ !PUK1)Q/;RCE3V9''\2,I*LO<$CO7MY!G-3+<2JBU@])+NO\UT^[J?F MWBAX>8;B[*)825HUX7E2G_++L^O++:7R=FTC^CZBO*?V./VL-!_;&^".G^+- M&*V]T?\ 1]4T]GW2:;=J!OB/JIR&5OXE93@'('JU?NE"O3K4XU:3O%JZ9_FE MF66XG+\54P6,@X5*;<9)[IK^M]FM5H?B/_P6F_Y2#>*_^O+3_P#TDBKY3KZL M_P""TW_*0;Q7_P!>6G_^DD5?*=?@F>?\C&O_ (Y?FS_4#PU_Y)/+?^O%+_TA M!1117EGVQZ__ ,$_O^3W?A5_V,UC_P"CEK^@6OY^O^"?W_)[OPJ_[&:Q_P#1 MRU_0+7ZIX??[K5_Q?HC^'_I4?\CK!?\ 7I_^EL*^7/\ @JA^W G[('P+>TT> MZ1?'/BM)+7255OGLH\8ENR.VP$!<]79>"%:OH#XL_%/1?@G\-M:\6>(KH66C M:#:M=74O5MHZ*H[NS$*J]69@.]?@3^UI^TWKG[7'QQU?QEK;&,W;>38V82ZO]%Y^A\?X%^&O^LN;?7L; M&^$P[3E?:<]XP\UUEY63^)'G$\[W,SRRNTDDC%F9B2S$G)))ZFHZ**_&#_1! M*P4444 /1&ED554LS' &23Z5^UW_!)O]A;_ (9+^"IUK7K18_'?B^-)[\., MOIMOUBM >Q&=SXZL0#GRU-?'W_!%G]A(?&7XA?\ "T/$UH7\,^$[D#2H)4^7 M4K]<,'Y',<.0WO(5&3L<5^NE?IO!&1BO*SO)L-FN!J8#%J\)JWFNS7FGJO,]'*+6Y M.23[*^"?][/J!7SQ7\(<1Y!BCZ2722\FONVW1_7N1YS0S3!0 MQN'>DEJNJ?5/S7_!"BBBO#/6'12M!(KHS(Z$,K*<%2.XK[^_9$_:"7XX?#]8 MKV1?^$@T<+#>KT,XQA9@/]K'..C ] 17Y_UU?P6^+%]\%_B'8Z[8EF$+;+F# M.!722\X[^:NNI\=QMPO#.L Z M<5^]AK!^?5>DOSL^A^F-%9?@[Q=8>._"]EK&F3"XL=0B$L+CK@]0?1@<@CL0 M16I7]NTJL*L%5IM.,DFFMFGLT?R?4IRIS=.:LT[-/=-=#XB_X*+^(QJGQKLK M!2-FF:9&K#N'=W8_^.[*\ KT7]K3Q#_PDW[1?BN<-D0WGV0%,)]6R;#4>JA%OU:N_Q84445\L?0'5_ M S0_^$E^,_A6RVY2?5+?S!_L"12W_CH-?IC7P!^PWH)UO]I+1'*[DL(Y[I^, MXQ$RJ?\ OIEK[_K^K/ ;!\F3U\2_MU+?*,5^LF?SOXPXGFS.C07V87^,7#W]HY#+$ MTU>=!\Z_P[37W>]_VZ?HOACG7U'.(T)OW*RY7Z_9_'3YGQC1117\;']/GH?[ M+7PM/Q;^-6D:=)&9+"U?[;>^GDQX)4^S-M3_ ('7Z,U\[?\ !/#X6?\ ",_# MF\\2W,>V[\02[(-R\K;QD@$?[S[C[A5-?1-?V5X/<._V;D,<145JE?WW_A^P MON][_MYG\O\ B;G?U[-Y4(.\*/NKU^T_OT_[="BBBOU8_.PK\S?CGHW_ CW MQG\5V87:D.K7(08Z(96*_P#CI%?IE7Y]?MM:)_8O[2GB'"E8[OR+E..NZ%-Q MZ?W@U?A7CUA>;*,/B%]FI;_P*+_^1/UWP>Q'+F5:A_-"_P!TE_F>44445_*A M_0X5[Q_P3PUW^R_CU+:D\:EIDT('^TK)(#^2-^=>#UZ%^RAKH\.?M%>$KC./ M,OA;9_Z[*T7_ +/7T_!>-^J9]@Z_15(7]&TG^#9X/%.%^L9/B:/5PE;U2NOQ M1^C5%%%?WR?QR0W=G%J%I-;SQ1SP3HT.]MI(9HTFAF4HZ.H9 M74C!!!X(([5\;QGP7@N(L'[#$>[..L)I:Q?ZQ?5=?)I,^GX6XIQ628KVU'6# M^*/1K]&NC_2Z/RHHKZP_:+_8%,TT^L>!44%B7ETAV"C/!_N$_0]%KY8U M72;K0-1FL[VVN+.[MVVRPSQF.2,^A4\@U_&_$W".99%B/88^%D_ADM8R]'^C MLUU1_3^0\28#.*/ML'.[ZQ?Q1]5^NSZ,K4445\R>\%%%% !1110 4444 %%% M=5\*O@OXB^,VM"RT&PDN K 37+Y2WMAZN_0?09)[ UTX/!U\56CA\-!SG+1) M*[?R1AB<51P])UJ\E&*W;=DCG-/TZ?5[Z*UM89KFYN'"10Q(7>1B< #DD^E M?;W[(O[)D7P>LH]>UQ$F\3W,>$CSN33D8CW5A?0I2S8^?8SM_P MX&)VG_>'*M[J>V*XBOX2Q^ KX+$SPF)CRS@VFO-? MU\S^O<'BZ6*H0Q-!WA))I^3"BBBN,Z3KO@C\8M1^"'CVUUJP)D1?W=W;%L+= M0DC!?&^G?$?PG9:UI4_VBQOXQ)&W1E]58=F4Y!'J*_+N MO:_V-_VE&^#7BS^R=5G;_A&M6D E).192G $P_V>@;VP?X<']C\)^/O[(Q7] MFXZ7^SU'HW]B3Z^47M+MH^]_S#Q&X-_M/#_7L)']]36R^U'MZKIWV[6^\:*9 M%(LL2NK*RL,@@Y!!I]?UZ?S4%%%% !1110 4444 %%%% !7Y'_M(_P#!'7XT M_$[]HGQ]XETJQ\//IGB'Q'J.IV;2ZHB.T,UU)(A9<<':PR/6OUPHKR,VR7#Y MC",,1>T7?1V_S/NN!?$/-.$Z]7$96H.51*+YTWHG?2S1^+7_ X[^//_ $#_ M S_ .#A/\*/^''?QY_Z!_AG_P '"?X5^TM%>%_J)EO>7WK_ "/TO_B9GB_^ M6C_X!+_Y,_%K_AQW\>?^@?X9_P#!PG^%'_#COX\_] _PS_X.$_PK]I:*/]1, MM[R^]?Y!_P 3,\7_ ,M'_P E_\ )GXM?\.._CS_ - _PS_X.$_PH_X<=_'G M_H'^&?\ P<)_A7[2T4?ZB9;WE]Z_R#_B9GB_^6C_ . 2_P#DS\9M._X(5_'* M]1C*/!UF5X FU5B6]QLC;]<5U?A;_@WY^)E[*O\ ;/C'P/IT38S]E:ZNY%'? MAHHQG_@6/>OUNHK6' ^61W4GZO\ RLE/_ .2X*GCMTKZS^ O[%OPO_ &9H MT;P;X.TK3+T+L;4'0W%\XQSF>0M( >Z@A?:O4J*]K!9'@,(TZ%))]]W][NS\ MZX@\1^)L[BZ>9XV*?+%^L8J,7\T%%%%>J?$A1110!^?'_!5__@G+\2_V MO/VB=&\2^#;72)],L?#D&F2M=WZP.)DN;J0@*0/G$V39;1RO"1I>SI+E MCS0;=O-\R_(_%K_AQW\>?^@?X9_\'"?X4?\ #COX\_\ 0/\ #/\ X.$_PK]I M:*Y?]1,M[R^]?Y'L_P#$S/%_\M'_ , E_P#)GXZ_#;_@BS\M>[OM\C\XX[\1\ MVXMJ4:F:J"=)24>2+7Q6O>[?9!1117L'P)0\3>&[#QEXO2WXM?\.._CS_ - _PS_X.$_PH_X<=_'G_H'^&?\ MP<)_A7[2T5XG^HF6]Y?>O\C]&_XF9XO_ ):/_@$O_DS\6O\ AQW\>?\ H'^& M?_!PG^%'_#COX\_] _PS_P"#A/\ "OVEHH_U$RWO+[U_D'_$S/%_\M'_ , E M_P#)GYF_L!?L(?M&_L4?&VWUJ*PT&[\-:GMMM=TY-93%U!DXD4$8\V,DLIXZ MLN0&-?IE117T.5Y72P%+V-&3<;WU=[>FA^5\:\:XSBC&K,,PITXU4N5N$7'F M2VYKR=VMD][:/1*WYH?\%(?^"7?Q6_:;_:TUWQAX6M-$ET74+:TBA:YU%89" MT=ND;94CCYE->$_\.._CS_T#_#/_ (.$_P *_:6BO&Q7!F KUI5YN5Y-MZKK MKV/T')?I!\497@*.6X:-+DHQC"-X2;M%)*[YUK9'XM?\.._CS_T#_#/_ (.$ M_P */^''?QY_Z!_AG_P<)_A7[2T5S_ZB9;WE]Z_R/3_XF9XO_EH_^ 2_^3/R M<_9/_P""0?QE^$'[2_@7Q3K-EX?32= UJVOKMHM461Q$D@9BJ@]E.38?+H2IX>]F[ZNY^9<<^(&:<68FGBLT4%*G'E7(FE:]];MZW/BO_ (*K M_LV?&S]KUM(\*>";+28/!.G$7EX]QJ:P2:E=\A0R<_NXUZ ]68DCY5-?%W_# MCOX\_P#0/\,_^#A/\*_:6BO.S#A/!XVN\17E)R?FON6A]9PMXXY_P]EM/*\M MI48TX7WA)MMZMR?/JW_P%9)(_%K_ (<=_'G_ *!_AG_P<)_A1_PX[^//_0/\ M,_\ @X3_ K]I:*XO]1,M[R^]?Y'T/\ Q,SQ?_+1_P# )?\ R9^+7_#COX\_ M] _PS_X.$_PK2\'?\$+_ (RZGXKTZWUE?#VF:1-W<6HK/);PEAO=4 ^9 M@N<#(R<F<]\*_AC MHOP7^'6C^%?#MFECHVAVRVMK"N.%'5F/=V)+,W5F8D\FNAHHK[&$(QBHQ5DC M\"KUZE:I*M6DY2DVVWJVWJVWU;844451D%%%% &7XS\(V'CWPO?Z-J<(GL-1 MA,,R9YP>A![,#@@]B :^+=;_ .">_CJTUBYBLAIEY9)*RP3-FI0NDXNSL^CT=U?5=M>[/J>'>,,QR53C@VG& M6ZDKJZZK56?1]_D?"'_#O[XB_P#/MI/_ (&K_A1_P[^^(O\ S[:3_P"!J_X5 M]WT5\A_Q [AW^:K_ .!+_P"1/IO^(M9YVI_^ O\ ^2/A#_AW]\1?^?;2?_ U M?\*/^'?WQ%_Y]M)_\#5_PK[OHH_X@=P[_-5_\"7_ ,B'_$6L\[4__ 7_ /)' M@_['GPJ\>_!07VCZ_#9/H-SFX@,5V)'MIN 0!_=8=?0J/4U[Q117Z5D&24RT73MML?!YQFM7,L7+&5HQC*6_*K)OO:[U[GPYXC_88 M^)'B+Q#?ZA+;:5YE_<27#?ZWJ:I_\._OB+_S[:3_X&K_A7W?17YQ4 M\$>'IROQ+_ .1/NH>+&=0BHQC3LO[K_P#DCX0_X=_?$7_GVTG_ ,#5 M_P */^'?WQ%_Y]M)_P# U?\ "ON^BH_X@=P[_-5_\"7_ ,B5_P 1:SSM3_\ M 7_\D?-G[&_[+7B3X+_$+4-7U^*R1)-/:U@\F<2GKN[OSLCXC/,\Q.;8MXS%6YFDM%967S84445[QXX5E>- M/"EMXZ\):GHUX";;4[9[:0CJH92,CW'4>XK5HK.M2A5IRI5%>,DTUW3W1=.I M*G-5(.S3NGYH^$9?^"?WQ"65@L&DNH) ;[:!N'KTI]E_P3[^($]Y$DT6E0PN MX#R?; VQ<\G&.<#M7W717Y"O _AR][U/_ E_\B?I3\6<\M:T/_ 7_P#)%#PS MX=M?"7AVQTJQC\JSTZ!+:%?1$4*/QP*OT45^OTZ<:<%""LEHEV2/S2'/%.FZB+;2@;" MZBN1B]7JCAO3VK[@HK2EX)O:7%X@N![!Q\C'W.RO#O&OP9\5_#R1UUK0-4L$3K,\!:$_21$O%;%M1\-:'>2'^.2RC,G/\ M8S^M,&4I>Y1J-^:BO\ VYGYTV]M)=S+'#&\LCG" MHBDLQ]A7HW@+]DCQ_P#$)HVMM N;"V?'^D:A_HL8![X;YF'^ZIK] - \&:/X M3C*:5I6FZ8I&"MK;)""/3"@5IU]9E7@'A8-2S'%2GY02C^+YOR1\YF/C%B)) MQP6'4?.3YOP5OS9\V?"C_@G5HN@217?BO4)-;G7#?9+?,-L#Z,WWW'_?/TKZ M&T#P[8>%=*BL=,LK:PLX1B.&WC$:+^ XJ[17['D/"N59-3]GEU%0ON]Y/UD[ MM^E[=D?F.<<0YCFD^?'57+LMDO1+3\+A1117T)XH4444 %5]5@:[TNYB3!>6 M)D7/')!%6**F45).+'%M--'PA_P[^^(O_/MI/_@:O^%'_#O[XB_\^VD_^!J_ MX5]WT5^/?\0.X=_FJ_\ @2_^1/T[_B+6>=J?_@+_ /DCX0_X=_?$7_GVTG_P M-7_"C_AW]\1?^?;2?_ U?\*^[Z*/^('<._S5?_ E_P#(A_Q%K/.U/_P%_P#R M1\\?L7?LW>)_@AXGUJ[UZ*SCAOK5(HO)N!*2P?)SCIQ7T/117Z/P[P_A8SZ]BU*-2R3<6E>VS=T];:7[)=C[3(>/3#T7^$^G'85ZG M117ZEE.6PP&$IX.G.4HP5DY.[MT3=EMLO(_/ GRAPHIC 5 supplementaldisclosurecover.jpg begin 644 supplementaldisclosurecover.jpg M_]C_X 02D9)1@ ! @$ E@"6 #_X@Q824-#7U!23T9)3$4 0$ Q(3&EN M;P(0 !M;G1R4D="(%A96B 'S@ " D !@ Q !A8W-P35-&5 !)14,@ M0 9&5S8P 2D! M\@'Z @,"# (4 AT")@(O C@"00)+ E0"70)G G$">@*$ HX"F *B JP"M@+! M LL"U0+@ NL"]0, PL#%@,A RT#. -# T\#6@-F W(#?@.* Y8#H@.N [H# MQP/3 ^ #[ /Y! 8$$P0@!"T$.P1(!%4$8P1Q!'X$C 2:!*@$M@3$!-,$X03P M!/X%#044%]@8&!A8&)P8W!D@& M609J!GL&C :=!J\&P ;1!N,&]0<'!QD'*P<]!T\'80=T!X8'F0>L![\'T@?E M!_@("P@?"#((1@A:"&X(@@B6"*H(O@C2".<(^PD0"24).@E/"60)>0F/":0) MN@G/">4)^PH1"B<*/0I4"FH*@0J8"JX*Q0K<"O,+"PLB"SD+40MI"X +F NP M"\@+X0OY#!(,*@Q##%P,=0R.#*<,P S9#/,-#0TF#4 -6@UT#8X-J0W##=X- M^ X3#BX.20YD#G\.FPZV#M(.[@\)#R4/00]>#WH/E@^S#\\/[! )$"800Q!A M$'X0FQ"Y$-<0]1$3$3$13Q%M$8P1JA')$>@2!Q(F$D429!*$$J,2PQ+C$P,3 M(Q-#$V,3@Q.D$\43Y10&%"<4211J%(L4K13.%/ 5$A4T%585>!6;%;T5X!8# M%B86219L%H\6LA;6%OH7'1=!%V47B1>N%](7]Q@;&$ 891B*&*\8U1CZ&2 9 M11EK&9$9MQG=&@0:*AI1&G<:GAK%&NP;%!L[&V,;BANR&]H< APJ'%(<>QRC M',P<]1T>'4<=:AZ4'KX>Z1\3'SX?:1^4'[\?ZB 5($$@ M;""8(,0@\"$<(4@A=2&A(B>K)]PH#2@_*'$H MHBC4*08I."EK*9TIT"H"*C4J:"J;*L\K BLV*VDKG2O1+ 4L.2QN+*(LURT, M+4$M=BVK+>$N%BY,+H(NMR[N+R0O6B^1+\<-]1B)&9T:K1O!'-4=[1\!( M!4A+2)%(UTD=26-)J4GP2C=*?4K$2PQ+4TN:2^),*DQR3+I- DU*39--W$XE M3FY.MT\ 3TE/DT_=4"=0<5"[40914%&;4>92,5)\4L=3$U-?4ZI3]E1"5(]4 MVU4H5755PE8/5EQ6J5;W5T17DE?@6"]8?5C+61I9:5FX6@=:5EJF6O5;15N5 M6^5<-5R&7-9=)UUX7&EYL7KU?#U]A7[-@!6!78*I@_&%/8:)A]6))8IQB M\&-#8Y=CZV1 9)1DZ64]99)EYV8]9I)FZ&<]9Y-GZ6@_:)9H[&E#:9II\6I( M:I]J]VM/:Z=K_VQ7;*]M"&U@;;EN$FYK;L1O'F]X;]%P*W"&<.!Q.G&5&YXS'DJ>8EYYWI& M>J5[!'MC>\)\(7R!?.%]07VA?@%^8G["?R-_A'_E@$> J($*@6N!S8(P@I*" M](-7@[J$'82 A..%1X6KA@Z&I+CDTV3MI0@E(J4 M])5?EAMJ(FHI:C!J-VH^:D5J3'I3BEJ:8:IHNF_:=NI^"H M4JC$J3>IJ:H_ MR#W(O,DZR;G*.,JWRS;+MLPUS+7--:6YQ_GJ>@RZ+SI1NG0ZEOJ MY>MPZ_OLANT1[9SN*.ZT[T#OS/!8\.7Q'EZ@X2%AH>(B8J2DY25EI>8F9JBHZ2EIJ>HJ:JRL[2UMK>X MN;K"P\3%QL?(R;GZ.GJ\?+S]/7V]_CY^O_$ !\! M ,! 0$! 0$! 0$ ! @,$!08'" D*"__$ +41 (! @0$ P0'!00$ M $"=P ! @,1! 4A,08205$'87$3(C*!"!1"D:&QP0DC,U+P%6)RT0H6)#3A M)?$7&!D:)BH*#A(6&AXB)BI*3E)66EYB9FJ*CI*6FIZBIJK*SM+6VM[BYNL+#Q,7& MQ\C)RM+3U-76U]C9VN+CY.7FY^CIZO+S]/7V]_CY^O_: P# !$0(1 #\ MZ0_=S4 &TY'Y5,LF\8I9(_+Y%<1WD<3>8*: M9#AE22O@"FQN":'*XXPMJ*#L/S5(CKU%."!U/M5< MKLR1T%24E<M11FL2"[:T"G;N$DC#(('/\(Y]A'(J042BI!"3BS#Z<- MR#3UA0KQ_.KEU8,3NCQQV-5/)>,9/KVK"4+&RFV0C3(R<[LU!=6SICCI5V-% MR6'<\XS41EEC)5@ ,_*:JG"[U"I5TT&)IPA!VGMWIDL;(F"*OT$!N#6SIHP MYVK'WA41CP:!))[DID4\=*'@$JX M-0,H8T-,(, MC<0!]3VIW$X=B!=$4* HP!T&34!TZXTZ(B(;\XYJ&C1,ANV*IQZTH_?#TQQ3A*)#QVZ^M.QJ:) % 'I1+@+R<5!!*9?N] ?UIH4W=%74;67[5.\: YQ2\#G-/F(=-&7-IL;L6*\D'/)[U7DTW;@Q\$=,\_A M6X&S3&EQU6G4 )':FE>3[U-+;$DG/7TZ5"FZ-P -WM5(ELAV$&G=JNK'\W*GG^ M=)-;\;@.10*YG2 XS43R<8JXQ8]JJO"R'D4T!7;#FD\P0,<]*=(?+X/K2,R# ME>_'-,0&1)].5@_2HY5R,>M B MN+B0OMP#WR*?2EE7S,>U1&,[J=Q6)AH >8P.G>G&1E&,9!IAEVX!ZFG;S3YA5L_F"*7362TS"\9(#9')Q^( M]JXN6YUJK;A!P1[UH9!K#=(LNT46"PP02<'!IR//W>ERLI5$S;;.!1Y9'(-8UIJ?V+*R?P]<9(^HK2_M2WR 6QN&1GI4V92DB_ M&Q93VIJ(4.#4*7\*_+O'YT]&$_S Y%#*0T1G=SQBG,VUJDV9JQ#;AADT@;L< M)X^OF"+$#C/6N.L+Z33Y1(AP5/\ D5TOQ!PEZ%'(""N3SFMZ4=#GJN[/66O0 M=)AF.?G9&&.N221^M:/S1W%Q W1U$B_@,-_2L6PT#_A)-)M<3-$8X^-H!!.> MI'J*VI]+O3/;RB0/Y:,DF?ESD8W#_"M>4PN696$5O$HX4@9 ..O;CZT^>U?3 M%$D3,1&/F0G(*YR<9Z,.Q[]#4L]F7M_+7!95&/J/_P!5/2[^VQ9"D$CD,,8/ M((HL%Q;J>XCP\6QDQG#$J?SY'Z5/M,R D8)'(Z_A5>['E6VST0#^57Z+7!:% M!;9$Z#%*85*X(R*L2J":P_%VK'1[)Y%.&(P/J:R:LS1.Y#=;K8L@( 8<<]1O,61P/F&2.^0?PKV6M*<;$3=SD_$/B]-+U&& MV)P@(,A_WL@?@.IKJU8.,CD'TKQCXA6,UMJLCOG$A#*>Q& ,?A6I\.]1O]0N M1:^8WDQJ6;V'89[9/]:T)/4Z9+ LPYIXXI:+7!.QC36$\!^4[E/L,BH?,DMR M2?F&,C'7W%;]036:2\]#[5E*BNAJJSZF1#KMK(=A?:_]UOE/Z]:GT^]BNU(7 M*E#@JW!&?\:DET9)&#E067H2.:I7?AN*:4S,,L0!SDC ]@:S<&A\Z9IDJS8Z MFH''.#5."QV+A0%9>A7/;U!_QJ;SY!@.A!]1R/S'2I:+@R4<4T')I ^Y@O0G MUI[@ U)H2*^1GTI0X:HD/RD"F=*+BY25U YIC*#C(SCI[4N\T[:6!Q0&Q&P- M/MI?+//2FC/>FLI[4;#:35C3C8/T.13B,UG1 JP![UHKG'-;1=TG:K,-^<@R.*V(+6&Q01)G"CJ>23W.?>IS8'.0:8\3)U%%@YFR*6 3+A_S%57 MMQ+\N>!2W5G+)CRY"GJ"-P_*J20W%B2R-YP.<@C;T[#'>IL:QFA)K(;L$9J, M[HS5R'4H+GJ=I[J_RL#Z8-2F)&)-38T4A(T:=!GJ*6.W[5H64:SC:>-M2-IH M)Z\5:@V9NHD[&<(MOUH:#=TI\BF)MN?I2AV44K#N0&U)!QU S4,:G.,=:O1W M&6QC'%5KB4@''!/2FE8B6I4>Y"G&.152XN8H75'.TN"1GZXQ3YD('^UFJ[L) M@(Y$#CDY;L?3\:+@H:%DVR.,@CKC\:I7>EA\\<^U7]/CCG8\8VXQCI3YX-\@ M(R,'M_GI5(EJQS,EA>VI)C;@>IX_6FB]N^K < D@AYXJ76]+>>,&%5WY')ZX^ MM+-IN.1G([]Z &RV1;MQ55K55.&%#S75G\Q;>!USUI5U>.7*NI!'?!IB*TUJ M0?EZ54:-B< 5HSW(5=PY JJEVLBY88)[4#&6J,K$'BI9!4B'*LE!S2,&VXIHDH,=W-,D7>,&K#1X. M*ADP#0%BNT)B&5Y-.CN7 (;J/6IE0R=!3BG'-,"..X#*2.U*&RV#38K18?N] M_>G,F?QH"XHA)-.,=".5ZT)*"<-QZ4!=$!.6XZ4\#-2EE4DC\::N&%(=AF,4 M*N33]H/X4 &BX-$!78C8'KQ44#%QD]*LSOM/UJO'C''J:HAH&A!RV!DTL,8 MB7 ^M/0GM3P10(B8XYZ4P'-6]@_.HWBP: L5"&ZXJLJN3E@:O$$-BGK\O44P M(X7WU)MR:&4'D=Z4$K0 A4FDV\U9C*\D]JKW/RD8[T#$V4QDJ0'- .: *[VR M[LT]05Z5,PS41- K#@<=:=N%(B[JB:'S#UH F."*3;31$5IV&%,0L;;6P:6/-2%ABFF)H8)"AXI3,&^\N?<=:C=L'I4D1(YI\PN4541_NM^=-="G6I= MB2=J;M:+E3QZ&BXK$><4HXIQ9?XA^(I1&'^Z<_H:8" YIX('6F'*=1BFYS0! M.),=*4-4(-*&H"Y/FG;J@#T[=2L,G!I=U0JU.#T6':X7[KL=?+S1N,B*RL4;Y&!Y##J/K4\FFA#E&!'MB MGPW;6]O)+"#@?UKG?#4NZ!0/E)&2![DU3=B8QYF=#_9)N%(*@'&/ M8UFR:2F3$ZXX[CCTZUHQR2#N>*N)=LZX89J>=%^R:.=F\.1-&%;<"O ()Z52 M6*_TO!CDWCGAESU]Z[%2C84Y&>V,C\ZE-DCCK3T8KRBSC3XR>T*^;$0"<$]O M_P!=7K7QM88QN(/ICUK8NM!6X5E(#*P[CI7'ZGX>AT/?N0$MT8#CZ>U'*/VK M.?\ %&H)J=VTB$E2!C/%8^S.<5I&T\T;CT)IT, BCD?VX&/ZUK'1&,G<]"^' MEXMSI:)GF(LI_/(_0UU*M7E?A6>3PV/M+MB-R RD'IZCW'7W%>H12+(H93D$ M @CIS6J=S)HF!J0&H14@)I@$MO'O1?$/C=/#5R(IH7*,H(=<8/J,''3ZUG^! M? ]QXD_DM:D'47&HZ5K,6[Q,HGC&6*_> !&<>_2NUO M_%%KHEI%-?QHNI&5?EY-9-&D9/H4[6UEC^4D<^F?PIV)H"0R MY'J.:6SU#S1AU*D=*1[-7X!(Y[4[!SW&%P*AD =@23\O/7 I[P3GL/J#55O.B;YAD5++BT M6PC.PY]ZTEX%5K50!N[GUJR/6M8*QSU)791U6Y\F(_*3QVZ"0*N: MA.EO&2_0X'YG%5738N!V%3/E*%SP:+A9%A;R6WQDY!]:G;4%*C/.:HN-PQ4AJN8ATA+K0X;P;)%R,>IW?@:J_V==:8 M(,RIZ,1N'XG&1^M:$6HNHP1D^]68+Z*8$/@'%.Z9-I1,NWU:6SE#2(4!X^;& M#^(K?BU2&="RG[HY'>J4BP3_ "%@=W&#W_"JW]BQ0$;5QCTXIIM$RM+6V1D>W4?E4M(I.)##?@MSFK3,).1R# M5*[MYH.F.>>.V*EL+CYL."N>>?\ />@ICY#'&VX]3211P3C/.3GVJU+\O7G/ MK41EV\D?2F*XY;=8!@=ZAG81#DXR0/Q--,SDY-.5_,JD0T5[H.(2<_2I=ZM2"/G'7FHRHC)H0-#C KC#=*AF MLHW!!Z'UI!.)"14IK,O;BYM2&'S+] M.M,"VEBL/"#'ZU&\/-+9.UV-_(^IJ=MZ'.>* ($"J,' %1R0X.15FX07"].? MRK&O-5^PO@]_7VHL%R\!MZTW=FH(;X7"AP."*:C\O;18+D90 <56(P:NGD57.": W(B,4W&><=*>1 MZ4P+E6% -"%@0:8FX+_.HVE$9VG]*:]P4Z"F+4LY(XJ!&)D([9H6Z#=:DR&I M6'=C)W^;'M44;8;%.8 GWI?LWE$N._-,1)4B1YJ&*82=C4RR 4 /3YN!3RH/ M:H]PSQ3C)0 ABSTI/)H$F![U+&A[56DD\F3=[_SI@2LXSBE2AE#BX#2H;FFB.K$95 MA[T;0: *S1XIQ^7@C%67& ..E0,<]:+BL,X; %-N,G&*<%QTI&C_>&T^W^%&2#Q29SU%4F*POD'JI# M?3K^5-.0<&E8;< 4IFD3[PR*:8K#0V*7?FC,4O0X/YBD:%@,CGZ4P'AQ3M^* MK@T\-2&3AJ4'%0;J=NH"Y.&I=U0ALTH;-(9.#2[NU0@TX-0!-2AL5%NI5H E MW8I0:8H'6G>9Z4 2@4[E<\+=Y6..XK:TN2:%@^,,HQT[5QO5G6M$S7UG M1X[BUN%0$&1#D9X)4<5R7A\W 54*#;SGGGCICM7H1D$T3'N4/\J\V\*ZLI'D MNWS$G /]*FHM"J#U9UD;G)R.E64E &3T%4C(%ZFM"U6.6/CFLC9CX[A% ([U M(IYSG(-,%L@'2F21(HX.*M$/4T%(C%4=:T9-;C,;$CT(X-1K;.W*R'&.GOZY MJ6!IQPQ!JDR' \RUI&TEFM2HRK<-G^E9LM_NBVXY/6MWQU"ZW?F,,!@,?A7, M.P-:QU,9*QMW>IQ7FG",'YE/(/Z5WG@=G.D19Y(5\9^IP*\@E.*]NT&S_L^Q MAA/58US]<9-:11FSG](\4:@L-P)U'FP . RE^';]IW&(]QB;WR<*? MIG'YT7"QVL?B*QD=D\SE&(.00,CCKC%6L_:,21-N!]""*+6SALPVQ<;B2?J: M+%4P94&!*0V,8[8_I1N!:B39^-2XIBFG@U2$%>9?%O44DEAML$-&&8DC .[& M,'\*]-J.>VBN1AU##_: /\Z!G,V_A;1_$A6_QYA;:20QVDJ .1^%<]\08/-U MFU1Q\C!!CMCS.:]%M+*&P3RXD"+DG"C YZUD>+/"Z^)(0%;9+&^#[ MS6=5CN+AU\J$)C'4E0"1CW;G/I61\3I7:]A_=MMA .[:2IRP/!]L4 =1#+J5 M@MW+<#>BR;D&5_U8SNQCOCUJ70=8BU$^9;KF*1L9'!4A>X_^O5N^NTU#39)H MSE9('([<%37)?"_4(;2R9)&"F2XVH#W.Q3B@#L[_ ,EH]\N5"GKDKCG&>#^M M6+="D:C=NP.I[^]SD'\JZ"Z6$1E&X4+TSCCH* M+-5WU&&*7RF;#'&,@@'/H<8JK*DFF.CABR':CAN<=@P].>OYT_5[M+= IZLR MX_[Z% %R:)9U*GOZ=:Q8=)N+$L=YD#,3]/;%6M7,!.) P('#X; S[KTK2[5, MH*149N+, 2H]JYYTI1.B-6,M"/S03 M@UGWVHZEIS[E021#^[][\1_A4[C')J>.7"@'\ZS3:+<$QMCXIL[L?,VP^C_* M:TA.&\0@@$>XK*3PW&)-Z.RD\[0&PV.Z_*3^'2FQ",9P&4_[2XJ>5FOM$1LGS?6G,H7K3W4( W7GD_6E M##.*5BE*Y W%,<96K,B^E0XXH&0J2M(V":XXID%RB M<$\FK@"7";AT-03:5+QT;FFWX5\<\TFHWJZ9(A<95NOM_C4DUJLA$J$%6[TD.YE M[&MWZY!&F.]4DW1L M-Q(W#.34]Q<@+ZT!8G&U> ,4O3BJJWH?@U()U/0T#&R_RJM<6J77S.H;C'/I M5AY 1US499DJB6AMO9)"F$P!Z56FM"IYX^E6(G^;%3L!**"2B;9MGRGD576[ MFA)9UXJ]&VQBAZU#D5PIJK@T#L6@!]?I33$IY'7_ !I!&",BHQE3@4"Y2;:R9[U$92']:>7VBI%Q MVYH$1>:K'&?PJ>-@ 0*A>#)STIP4J=WI0!.KY.VG^6''N#589#[L]Z7[48CT MSS0!89<#-5KE 5)]Z>)L\]C39!NH I6WRDKZU M_GI2A3BI5''-)C!I!8K,N#NJ-X4G^8U;DVMQ4) $^3@4_&WFD"[J4@"@$ M+'W^E+$0& -1 X/'%./'(&:!DY&X_2HF@$G2I5^5W-,!Q2Y9#Q4GFAOO 4TT*S&AL4Y6I=BMT M--9&2G80\&G YJ(&G;J0R8<4OF8J#-.W46"Y*#1FH@U*#18+DP>C<:B!I=U, M1*&HW9J(-2[J ),T5'G-%,#?MM0M9,LC 'I[\]ZV--U&,D"0X(8#/;GBN<_X M08QL 7(4XYVX/N#Z5T>G:+;Z:""@.0>F<\\=\UQ'5S:'4W$3"%P.NQL9+;*MDGFQM'(I7&0025QGG\:[Z.1W@ &3LX]3C^=,CLP/((/?(K&QU'IEA>)>+[]ZANU8'(KGM-U RXD0X/0CZUIF]=VY.>*:D M3[.S)K8.S^U7,%3FJ\-YC@U8$BL,GI3N)IHAU*PBU>W,;CJ./8UY%K&FMI*]G.%'%>9_$)Q]K4#LO]:NG+6QG..AA:!IO]J:A#">A<%OHO)_E7M@-> M>> [^U:95V;7VE=WOPYP>N6T=UKDI9PI18 MR >^%' KO=0AENXFC7!W*1SZ]OUKRZX6X\4WAU&*/"ADR #Z5+&6+:^62!9GX^7)R>A'7]13].8&V0CD; 1C\Z\ZUO M7FUW2IVARHCN 67_ &9!_P#%?SKN[&\33],CF?[L=NK''LN:$#.;C\4C6KM; M6..596;@LQ0#:L26UR-T+-E<#D*>A!'7'<5AKX^UC5;G;; MHI8YVJJ!CCZGGZ]!5[7#-=W]B]RH21H3O7I_$>*=[ E=GH5Y?1V4#3MDJJY^ M49.*\N;Q;=S:M&K7#"+SQW 7;N[X[8KTO13NLXN_R ?I7E,MK%XIU1Q@1;9 MI"<9&_:2!ZTVP2/889TN%W(P8>JD$?I7FGC?5M:TC4W:#S1$0FTA2R=.>Q'6 MNU\,>&U\,P-"LAD#.6RP QP!CCZ5Q4FJZSI&I/:&?.,L-P# C&1UYZ4"/2[= MS)&K'J5!/XBGD \&HX)?,B5SW4$_B,U0M/$5O?OB'+KN*[AC;D G'7/;KC%, M#2\M=NW QC&.U8-IX*LK)E*;@(YS*%SQNV[<=,X'I6KIVJ6^J(6B8-@X(Z$' MT(ZBK5 '"Z[X/U.74QJ,#HY1P55\K@#H/3%2_$"QO%2*^ASF(8D5,GC(;IW M(YKMJ2D!R\_BH7UZ-.2-B72-BP_AW8;GV _7BK>OSJC@'GE,=\'<*VUB126 M )ZG'/%9U[X>M[^1I'W9=<$!B!]<>M*2N.+LRSJ<@2!_]PUB^)+E_.AA)Q$Z MG=ZDG"C\LYK0U729+R$I'(5;: ">>GK]>]97B;3+J:WCN!AI(D&X $C(P<@= M>"/R-*2=AQMU:9IIXI3I1D.%:43+0-&2.HHGR4/.*T&C M5JC$(^M82HR1LJR9CPH 2W1B,@4Q[1>U38KFN9,*-F P2 W+ ]#&P/\\4TZO' =LR/$3G[Z\<>XR#4,GBA4^7U X?*GGL M,UI)?--%YO5<=,;C5M+L)%+;S;I6CVL-H!W$?*<]A].]2 MLR(?FXQZ4BG(@DA,38-".("#D9]ZL/*DG*G-0BW\TKD]#V[TX[D3^$N &1U9.K/M9>< Y'XU<]C*C\2,$VZVRG&?Q.:JJ9,^Q-:-X MOR'VK+6ZRO':I@C:J]247LMMG'*D]!5B'5R&//Z5G"9E.\<[>33719&W#H36 MEC)FM;Z]B38#NS[5I+.L_P!Y"#7-6X$;[>.3W%:,ER\F$(Y4O+1+@ ,HXK'NK R\1C&#WX%;MIJ$=^,D;2HR?3]:AN;R*-L_P ) M'!R/TIC6ASK0OMV-GCIDU28/&2&_SBNK\M+M><'(JE=6"(.G;UH&V9$/S+M' M;G_ZU([@*9<3O"^TKE!0!FF-A-D]*T(CNP:-N MU>1THC8/P#0 YB'-"@T&-J>,&@95 )HVU-Y8V[AZTA6@0P' Q00#3]M)B@ A MM/-SBA+8EN>OIVXJ>W. <'%2("6S2N!&L3-DCU[^U(\ EX(]ZN1@* >W-6#% M@>U*Y21AR6TL<@5!\IZG/2G3QO%VS6[8VJ3@QGMR#3+C3S$,=1FBX:G.M&9! MG%7DA9D4CTJQ/ H&/>I81Y:;!T%4F2RAY )R:C, 8U?,J+STILD8)JE(FQ3% MN!2FW\RIRI4U*R8&1UIW RGB\L^E,<,GO5^>(R]:@: K0!GE06( Z4Y55JN+ M&T3!L<$XJO+:&&0]^_YT@$\LGI3.>XJ0[AWI0ZH.:8R #G-2Q2LM(@#Y-+MV M4!T_&G#4< MG#CCU'6BXG39'<1F5>3CWQFLN\TR>=&52K%1P.1QZ5KQW,3'#G&?7VJ22%E( MD7#*,YP<$9]N])I#4I1.%BU6ZLW^:)AA<'C&0#G\?K6C!XG@/)!0]MPQGZ'O M74LNT&>GX5Y]-Y%2::T.F\#0"[,J$D< @CJ".A_"NV\/>)%U%C;R\3QY!'0-C^(?U':N M(\&3C1IV-PK('P.05X]><9'K5&6_1-79HW^4OPRGIZ'-:IM29E))I'K4&EVL M#[TC56)YVC&?RXJPUI'(CQD?+)NW#_>Ȼ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end