| Schedule III - Real Estate and Accumulated Depreciation |
As of December 31, 2024 (in millions) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Initial Costs to Company (1) | | Costs Capitalized Subsequent to Acquisition or Lease (2) | | Total Costs | | | | Encumbrances | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Accumulated Depreciation (4) | | Date of Acquisition or Lease (5) | | Americas: | | | | | | | | | | | | | | | | | | | AT1 ATLANTA (METRO) | $— | | $— | | $— | | $— | | $309 | | $— | | $309 | | $(116) | | 2010 | | AT4 ATLANTA (METRO) | — | | 5 | | 20 | | — | | 31 | | 5 | | 51 | | (21) | | 2017 | | BG1 BOGOTÁ (METRO), COLOMBIA | — | | — | | 9 | | 1 | | 11 | | 1 | | 20 | | (8) | | 2017 | | BG2 BOGOTÁ (METRO), COLOMBIA | — | | 4 | | — | | — | | 46 | | 4 | | 46 | | (3) | | 2021 | | BO2 BOSTON (METRO) | — | | 3 | | 30 | | (1) | | 44 | | 2 | | 74 | | (25) | | 2017 | | CH1 CHICAGO (METRO) | — | | — | | — | | — | | 122 | | — | | 122 | | (90) | | 1999 | | CH2 CHICAGO (METRO) | — | | — | | — | | — | | 90 | | — | | 90 | | (37) | | 2005 | | CH3 CHICAGO (METRO) | — | | 10 | | — | | — | | 357 | | 10 | | 357 | | (184) | | 2006 | | CH4 CHICAGO (METRO) | — | | — | | — | | — | | 148 | | — | | 148 | | (32) | | 2009 | | CH7 CHICAGO (METRO) | — | | 1 | | 11 | | — | | 11 | | 1 | | 22 | | (9) | | 2017 | | CL1 CALGARY (METRO), CANADA | — | | — | | 12 | | — | | 6 | | — | | 18 | | (9) | | 2020 | | CL2 CALGARY (METRO), CANADA | — | | — | | 14 | | — | | 3 | | — | | 17 | | (9) | | 2020 | | CL3 CALGARY (METRO), CANADA | — | | 7 | | 69 | | — | | 55 | | 7 | | 124 | | (25) | | 2020 | | CU1 CULPEPER (METRO) | — | | 1 | | 38 | | — | | 7 | | 1 | | 45 | | (24) | | 2017 | | CU2 CULPEPER (METRO) | — | | 1 | | 48 | | — | | 17 | | 1 | | 65 | | (30) | | 2017 | | CU3 CULPEPER (METRO) | — | | 1 | | 37 | | — | | 16 | | 1 | | 53 | | (23) | | 2017 | | CU4 CULPEPER (METRO) | — | | 1 | | 28 | | — | | 39 | | 1 | | 67 | | (22) | | 2017 | | DA1 DALLAS (METRO) | — | | — | | — | | — | | 74 | | — | | 74 | | (45) | | 2000 | | DA2 DALLAS (METRO) | — | | — | | — | | — | | 84 | | — | | 84 | | (43) | | 2010 | | DA3 DALLAS (METRO) | — | | — | | — | | — | | 103 | | — | | 103 | | (53) | | 2010 | | DA4 DALLAS (METRO) | — | | — | | — | | — | | 18 | | — | | 18 | | (13) | | 2010 | | DA6 DALLAS (METRO) | — | | — | | 21 | | — | | 191 | | — | | 212 | | (76) | | 2012 | | DA7 DALLAS (METRO) | — | | — | | — | | — | | 33 | | — | | 33 | | (25) | | 2015 | | DA9 DALLAS (METRO) | — | | 1 | | 15 | | — | | 9 | | 1 | | 24 | | (11) | | 2017 | | DA11 DALLAS (METRO) | — | | — | | — | | 69 | | 440 | | 69 | | 440 | | (48) | | 2018 | | INFOMART BUILDING DALLAS (METRO) | — | | 24 | | 338 | | 4 | | 34 | | 28 | | 372 | | (74) | | 2018 | | DC1 WASHINGTON, D.C. (METRO) | — | | — | | — | | — | | 6 | | — | | 6 | | (4) | | 1999 | | DC2 WASHINGTON, D.C. (METRO) | — | | — | | — | | 5 | | 191 | | 5 | | 191 | | (101) | | 1999 | | DC3 WASHINGTON, D.C. (METRO) | — | | — | | 37 | | — | | 57 | | — | | 94 | | (62) | | 2004 | | DC4 WASHINGTON, D.C. (METRO) | — | | 2 | | 7 | | — | | 42 | | 2 | | 49 | | (30) | | 2005 | | DC5 WASHINGTON, D.C. (METRO) | — | | 1 | | 5 | | — | | 47 | | 1 | | 52 | | (29) | | 2005 | | DC6 WASHINGTON, D.C. (METRO) | — | | 1 | | 5 | | — | | 95 | | 1 | | 100 | | (67) | | 2005 | | DC7 WASHINGTON, D.C. (METRO) | — | | — | | — | | — | | 18 | | — | | 18 | | (17) | | 2010 |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Initial Costs to Company (1) | | Costs Capitalized Subsequent to Acquisition or Lease (2) | | Total Costs | | | | Encumbrances | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Accumulated Depreciation (4) | | Date of Acquisition or Lease (5) | | DC10 WASHINGTON, D.C. (METRO) | — | | — | | 45 | | — | | 65 | | — | | 110 | | (101) | | 2011 | | DC11 WASHINGTON, D.C. (METRO) | — | | 1 | | 5 | | — | | 189 | | 1 | | 194 | | (98) | | 2005 | | DC12 WASHINGTON, D.C. (METRO) | — | | — | | 102 | | — | | 84 | | — | | 186 | | (66) | | 2017 | | DC13 WASHINGTON, D.C. (METRO) | — | | 6 | | 25 | | — | | 29 | | 6 | | 54 | | (23) | | 2017 | | DC14 WASHINGTON, D.C. (METRO) | — | | 3 | | 34 | | — | | 19 | | 3 | | 53 | | (21) | | 2017 | | DC15 WASHINGTON, D.C. (METRO) | — | | 2 | | — | | 2 | | 210 | | 4 | | 210 | | (45) | | 2018 | | DC16 WASHINGTON, D.C. (METRO) | — | | — | | — | | — | | 341 | | — | | 341 | | (11) | | 2022 | | DC21 WASHINGTON, D.C. (METRO) | — | | 2 | | — | | — | | 324 | | 2 | | 324 | | (37) | | 2019 | | DC97 WASHINGTON, D.C. (METRO) | — | | — | | 2 | | — | | 3 | | — | | 5 | | (2) | | 2017 | | DE1 DENVER (METRO) | — | | — | | — | | — | | 11 | | — | | 11 | | (9) | | 2010 | | DE2 DENVER (METRO) | — | | 5 | | 23 | | — | | 37 | | 5 | | 60 | | (27) | | 2017 | | HO1 HOUSTON (METRO) | — | | 1 | | 24 | | — | | 38 | | 1 | | 62 | | (25) | | 2017 | | KA1 KAMLOOPS (METRO), CANADA | — | | 3 | | 47 | | — | | 27 | | 3 | | 74 | | (15) | | 2020 | | LA1 LOS ANGELES (METRO) | — | | — | | — | | — | | 112 | | — | | 112 | | (88) | | 1999 | | LA2 LOS ANGELES (METRO) | — | | — | | — | | — | | 11 | | — | | 11 | | (10) | | 2000 | | LA3 LOS ANGELES (METRO) | — | | — | | 35 | | 4 | | 22 | | 4 | | 57 | | (52) | | 2005 | | LA4 LOS ANGELES (METRO) | — | | 19 | | 138 | | — | | 63 | | 19 | | 201 | | (105) | | 2009 | | LA7 LOS ANGELES (METRO) | — | | 8 | | 34 | | — | | 58 | | 8 | | 92 | | (29) | | 2017 | | LM1 LIMA (METRO), PERU | — | | 5 | | 9 | | — | | 5 | | 5 | | 14 | | (2) | | 2022 | | MI1 MIAMI (METRO) | — | | 19 | | 127 | | — | | 218 | | 19 | | 345 | | (120) | | 2017 | | MI2 MIAMI (METRO) | — | | — | | — | | — | | 22 | | — | | 22 | | (18) | | 2010 | | MI3 MIAMI (METRO) | — | | — | | — | | — | | 35 | | — | | 35 | | (27) | | 2012 | | MI6 MIAMI (METRO) | — | | 5 | | 23 | | — | | 14 | | 5 | | 37 | | (17) | | 2017 | | MO1 MONTERREY (METRO), MEXICO | — | | — | | 3 | | — | | 12 | | — | | 15 | | (4) | | 2020 | | MT1 MONTREAL (METRO), CANADA | — | | — | | 77 | | 34 | | 72 | | 34 | | 149 | | (31) | | 2020 | | MT2 MONTREAL (METRO), CANADA | — | | 3 | | 58 | | — | | 37 | | 3 | | 95 | | (13) | | 2022 | | MX1 MEXICO CITY (METRO), MEXICO | — | | 1 | | 54 | | — | | 53 | | 1 | | 107 | | (22) | | 2020 | | MX2 MEXICO CITY (METRO), MEXICO | — | | 1 | | 16 | | — | | 118 | | 1 | | 134 | | (14) | | 2020 | | NY1 NEW YORK (METRO) | — | | — | | — | | — | | 75 | | — | | 75 | | (56) | | 1999 | | NY2 NEW YORK (METRO) | — | | — | | — | | 18 | | 209 | | 18 | | 209 | | (144) | | 2000 | | NY3 NEW YORK (METRO) | — | | — | | — | | 38 | | 391 | | 38 | | 391 | | (15) | | 2022 | | NY4 NEW YORK (METRO) | — | | — | | — | | — | | 387 | | — | | 387 | | (243) | | 2006 | | NY5 NEW YORK (METRO) | — | | — | | — | | — | | 324 | | — | | 324 | | (139) | | 2010 | | NY6 NEW YORK (METRO) | — | | — | | — | | — | | 104 | | — | | 104 | | (34) | | 2010 | | NY7 NEW YORK (METRO) | — | | — | | 25 | | — | | 149 | | — | | 174 | | (141) | | 2010 | | NY9 NEW YORK (METRO) | — | | — | | — | | — | | 59 | | — | | 59 | | (32) | | 2010 | | NY11 NEW YORK (METRO) | — | | 2 | | 59 | | — | | 141 | | 2 | | 200 | | (44) | | 2017 | | NY13 NEW YORK (METRO) | — | | — | | 32 | | 8 | | 7 | | 8 | | 39 | | (25) | | 2017 |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Initial Costs to Company (1) | | Costs Capitalized Subsequent to Acquisition or Lease (2) | | Total Costs | | | | Encumbrances | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Accumulated Depreciation (4) | | Date of Acquisition or Lease (5) | | OT1 OTTAWA (METRO), CANADA | — | | 1 | | 39 | | — | | 3 | | 1 | | 42 | | (11) | | 2020 | | PH1 PHILADELPHIA (METRO) | — | | — | | — | | — | | 45 | | — | | 45 | | (28) | | 2010 | | RJ1 RIO DE JANEIRO (METRO), BRAZIL | — | | — | | — | | — | | 20 | | — | | 20 | | (16) | | 2011 | | RJ2 RIO DE JANEIRO (METRO), BRAZIL | — | | — | | 2 | | 1 | | 85 | | 1 | | 87 | | (31) | | 2012 | | RJ3 RIO DE JANEIRO (METRO), BRAZIL | — | | 5 | | 49 | | — | | — | | 5 | | 49 | | — | | 2018 | | SE2 SEATTLE (METRO) | — | | — | | — | | — | | 31 | | — | | 31 | | (28) | | 2010 | | SE3 SEATTLE (METRO) | — | | — | | 2 | | — | | 102 | | — | | 104 | | (83) | | 2011 | | SE4 SEATTLE (METRO) | — | | 4 | | 13 | | — | | 85 | | 4 | | 98 | | (23) | | 2017 | | SJ1 SAINT JOHN (METRO), CANADA | — | | — | | 14 | | — | | 2 | | — | | 16 | | (4) | | 2020 | | SP1 SÃO PAULO (METRO), BRAZIL | — | | — | | 10 | | — | | 24 | | — | | 34 | | (23) | | 2011 | | SP2 SÃO PAULO (METRO), BRAZIL | — | | — | | — | | 3 | | 48 | | 3 | | 48 | | (34) | | 2011 | | SP3 SÃO PAULO (METRO), BRAZIL | — | | 7 | | 73 | | — | | 172 | | 7 | | 245 | | (72) | | 2017 | | SP4 SÃO PAULO (METRO), BRAZIL | — | | — | | 22 | | 6 | | 92 | | 6 | | 114 | | (35) | | 2017 | | ST1 SANTIAGO (METRO), CHILE | — | | 2 | | 25 | | — | | 13 | | 2 | | 38 | | (6) | | 2022 | | ST2 SANTIAGO (METRO), CHILE | — | | 2 | | 12 | | — | | 38 | | 2 | | 50 | | (3) | | 2022 | | ST3 SANTIAGO (METRO), CHILE | — | | 1 | | 10 | | — | | 9 | | 1 | | 19 | | (4) | | 2022 | | ST4 SANTIAGO (METRO), CHILE | — | | — | | 5 | | — | | 7 | | — | | 12 | | (2) | | 2022 | | SV1 SILICON VALLEY (METRO) | — | | — | | — | | 16 | | 153 | | 16 | | 153 | | (113) | | 1999 | | SV2 SILICON VALLEY (METRO) | — | | — | | — | | — | | 161 | | — | | 161 | | (120) | | 2003 | | SV3 SILICON VALLEY (METRO) | — | | — | | — | | — | | 82 | | — | | 82 | | (51) | | 1999 | | SV4 SILICON VALLEY (METRO) | — | | — | | — | | — | | 113 | | — | | 113 | | (43) | | 2005 | | SV5 SILICON VALLEY (METRO) | — | | 6 | | 99 | | — | | 109 | | 6 | | 208 | | (118) | | 2010 | | SV8 SILICON VALLEY (METRO) | — | | — | | — | | — | | 158 | | — | | 158 | | (61) | | 2010 | | SV10 SILICON VALLEY (METRO) | — | | 13 | | 124 | | — | | 97 | | 13 | | 221 | | (75) | | 2017 | | SV11 SILICON VALLEY (METRO) | — | | — | | — | | — | | 235 | | — | | 235 | | (28) | | 2019 | | SV14 SILICON VALLEY (METRO) | — | | 4 | | 6 | | — | | 4 | | 4 | | 10 | | (5) | | 2017 | | SV15 SILICON VALLEY (METRO) | — | | 8 | | 23 | | — | | 7 | | 8 | | 30 | | (15) | | 2017 | | SV16 SILICON VALLEY (METRO) | — | | 4 | | 15 | | — | | 4 | | 4 | | 19 | | (10) | | 2017 | | SV17 SILICON VALLEY (METRO) | — | | — | | 17 | | — | | 3 | | — | | 20 | | (19) | | 2017 | | TR1 TORONTO (METRO), CANADA | — | | — | | — | | — | | 81 | | — | | 81 | | (39) | | 2010 | | TR2 TORONTO (METRO), CANADA | — | | — | | 21 | | 94 | | 145 | | 94 | | 166 | | (50) | | 2015 | | TR4 TORONTO (METRO), CANADA | — | | — | | 14 | | — | | 4 | | — | | 18 | | (14) | | 2020 | | TR5 MARKHAM (METRO), CANADA | — | | — | | 25 | | — | | 2 | | — | | 27 | | (14) | | 2020 | | TR6 BRAMPTON (METRO), CANADA | — | | 9 | | 59 | | 2 | | 97 | | 11 | | 156 | | (15) | | 2020 | | TR7 BRAMPTON (METRO), CANADA | — | | 9 | | 72 | | — | | 28 | | 9 | | 100 | | (29) | | 2020 | | VA1 BURNABY (METRO), CANADA | — | | — | | 5 | | — | | 6 | | — | | 11 | | (5) | | 2020 | | WI1 WINNIPEG (METRO), CANADA | — | | — | | 57 | | — | | 6 | | — | | 63 | | (8) | | 2020 | OTHERS (6) | — | | 87 | | 55 | | 154 | | 337 | | 241 | | 392 | | (70) | | Various |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Initial Costs to Company (1) | | Costs Capitalized Subsequent to Acquisition or Lease (2) | | Total Costs | | | | Encumbrances | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Accumulated Depreciation (4) | | Date of Acquisition or Lease (5) | | | | | | | | | | | | | | | | | | | | EMEA: | | | | | | | | | | | | | | | | | | | AB1 ABIDJAN (METRO), CÔTE D'IVOIRE | — | | — | | 1 | | — | | 5 | | — | | 6 | | (1) | | 2022 | | AC1 ACCRA (METRO), GHANA | — | | — | | 1 | | — | | 7 | | — | | 8 | | (2) | | 2022 | | AD1 ABU DHABI (METRO), UNITED ARAB EMIRATES | — | | — | | — | | — | | 76 | | — | | 76 | | (34) | | 2017 | | AM1 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | — | | — | | 85 | | — | | 85 | | (53) | | 2008 | | AM2 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | — | | — | | 78 | | — | | 78 | | (39) | | 2008 | | AM3 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | 27 | | — | | 121 | | — | | 148 | | (79) | | 2011 | | AM4 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | — | | — | | 206 | | — | | 206 | | (64) | | 2016 | | AM5 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | 92 | | — | | 8 | | — | | 100 | | (46) | | 2016 | | AM6 AMSTERDAM (METRO), THE NETHERLANDS | — | | 7 | | 51 | | — | | 91 | | 7 | | 142 | | (50) | | 2016 | | AM7 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | 7 | | 3 | | 153 | | 3 | | 160 | | (49) | | 2016 | | AM8 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | — | | — | | 12 | | — | | 12 | | (8) | | 2016 | | AM11 AMSTERDAM (METRO), THE NETHERLANDS | — | | — | | 6 | | — | | 13 | | — | | 19 | | (7) | | 2019 | | BA1 BARCELONA (METRO), SPAIN | — | | — | | 9 | | — | | 28 | | — | | 37 | | (25) | | 2017 | | BA2 BARCELONA (METRO), SPAIN | — | | 8 | | 52 | | — | | — | | 8 | | 52 | | — | | 2021 | | BX1 BORDEAUX (METRO), FRANCE | — | | 2 | | 4 | | — | | 95 | | 2 | | 99 | | (6) | | 2020 | | DB1 DUBLIN (METRO), IRELAND | — | | — | | — | | 3 | | 25 | | 3 | | 25 | | (6) | | 2016 | | DB2 DUBLIN (METRO), IRELAND | — | | — | | 12 | | 1 | | 21 | | 1 | | 33 | | (16) | | 2016 | | DB3 DUBLIN (METRO), IRELAND | — | | 3 | | 54 | | — | | 25 | | 3 | | 79 | | (35) | | 2016 | | DB4 DUBLIN (METRO), IRELAND | — | | — | | 27 | | 7 | | 20 | | 7 | | 47 | | (16) | | 2016 | | DU1 DÜSSELDORF (METRO), GERMANY | — | | — | | — | | 7 | | 34 | | 7 | | 34 | | (19) | | 2000 | | DX1 DUBAI (METRO), UNITED ARAB EMIRATES | — | | — | | — | | — | | 96 | | — | | 96 | | (66) | | 2008 | | DX2 DUBAI (METRO), UNITED ARAB EMIRATES | — | | — | | — | | — | | 1 | | — | | 1 | | (1) | | 2017 | | DX3 DUBAI (METRO), UNITED ARAB EMIRATES | — | | 7 | | — | | — | | 74 | | 7 | | 74 | | (5) | | 2020 | | EN1 ENSCHEDE (METRO), THE NETHERLANDS | — | | — | | — | | — | | 39 | | — | | 39 | | (25) | | 2008 | | FR2 FRANKFURT (METRO), GERMANY | — | | — | | — | | 17 | | 582 | | 17 | | 582 | | (207) | | 2007 | | FR4 FRANKFURT (METRO), GERMANY | — | | 11 | | 9 | | — | | 102 | | 11 | | 111 | | (51) | | 2009 | | FR5 FRANKFURT (METRO), GERMANY | 30 | | — | | — | | 13 | | 252 | | 13 | | 252 | | (82) | | 2012 | | FR6 FRANKFURT (METRO), GERMANY | — | | — | | — | | — | | 133 | | — | | 133 | | (54) | | 2016 | | FR7 FRANKFURT (METRO), GERMANY | — | | — | | 44 | | — | | 47 | | — | | 91 | | (47) | | 2016 | | FR8 FRANKFURT (METRO), GERMANY | — | | 19 | | 58 | | — | | 172 | | 19 | | 230 | | (17) | | 2020 |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Initial Costs to Company (1) | | Costs Capitalized Subsequent to Acquisition or Lease (2) | | Total Costs | | | | Encumbrances | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Accumulated Depreciation (4) | | Date of Acquisition or Lease (5) | | FR13 FRANKFURT (METRO), GERMANY | — | | — | | — | | — | | 105 | | — | | 105 | | (5) | | 2021 | | GN1 GENOA (METRO), ITALY | — | | — | | 2 | | — | | 20 | | — | | 22 | | (2) | | 2020 | | GV1 GENEVA (METRO), SWITZERLAND | — | | — | | — | | — | | 27 | | — | | 27 | | (16) | | 2004 | | GV2 GENEVA (METRO), SWITZERLAND | — | | — | | — | | — | | 83 | | — | | 83 | | (33) | | 2009 | | HE3 HELSINKI (METRO), FINLAND | — | | — | | — | | — | | 16 | | — | | 16 | | (11) | | 2016 | | HE4 HELSINKI (METRO), FINLAND | — | | — | | 29 | | — | | 6 | | — | | 35 | | (28) | | 2016 | | HE5 HELSINKI (METRO), FINLAND | — | | — | | 8 | | 5 | | 19 | | 5 | | 27 | | (11) | | 2016 | | HE6 HELSINKI (METRO), FINLAND | — | | — | | 17 | | 1 | | 38 | | 1 | | 55 | | (23) | | 2016 | | HE7 HELSINKI (METRO), FINLAND | — | | 7 | | 7 | | 1 | | 66 | | 8 | | 73 | | (16) | | 2018 | | HH1 HAMBURG (METRO), GERMANY | — | | 4 | | 5 | | — | | 72 | | 4 | | 77 | | (13) | | 2018 | | IL2 ISTANBUL (METRO), TURKEY | — | | 14 | | 39 | | — | | 73 | | 14 | | 112 | | (24) | | 2017 | | IL4 ISTANBUL (METRO), TURKEY | — | | — | | 60 | | — | | 2 | | — | | 62 | | (1) | | 2017 | | JN1 JOHANNESBURG (METRO), SOUTH AFRICA | — | | — | | — | | — | | 5 | | — | | 5 | | — | | 2024 | | LD3 LONDON (METRO), UNITED KINGDOM | — | | — | | — | | — | | 22 | | — | | 22 | | (17) | | 2000 | | LD4 LONDON (METRO), UNITED KINGDOM | — | | — | | 23 | | — | | 166 | | — | | 189 | | (83) | | 2007 | | LD5 LONDON (METRO), UNITED KINGDOM | — | | — | | 16 | | — | | 205 | | — | | 221 | | (121) | | 2010 | | LD6 LONDON (METRO), UNITED KINGDOM | — | | — | | — | | — | | 159 | | — | | 159 | | (67) | | 2013 | | LD7 LONDON (METRO), UNITED KINGDOM | — | | — | | — | | 2 | | 291 | | 2 | | 291 | | (56) | | 2018 | | LD8 LONDON (METRO), UNITED KINGDOM | — | | — | | 108 | | 57 | | 226 | | 57 | | 334 | | (75) | | 2016 | | LD9 LONDON (METRO), UNITED KINGDOM | — | | — | | 181 | | — | | 242 | | — | | 423 | | (142) | | 2016 | | LD10 LONDON (METRO), UNITED KINGDOM | — | | — | | 40 | | — | | 238 | | — | | 278 | | (50) | | 2017 | | LG1 & LG2 LAGOS (METRO), NIGERIA | — | | 1 | | 12 | | — | | 38 | | 1 | | 50 | | (8) | | 2022 | | LS1 LISBON (METRO), PORTUGAL | — | | — | | 7 | | 3 | | 34 | | 3 | | 41 | | (9) | | 2017 | | MA1 MANCHESTER (METRO), UNITED KINGDOM | — | | — | | — | | — | | 21 | | — | | 21 | | (12) | | 2016 | | MA3 MANCHESTER (METRO), UNITED KINGDOM | — | | — | | 45 | | — | | 22 | | — | | 67 | | (38) | | 2016 | | MA4 MANCHESTER (METRO), UNITED KINGDOM | — | | — | | 7 | | — | | 11 | | — | | 18 | | (11) | | 2016 | | MA5 MANCHESTER (METRO), UNITED KINGDOM | — | | 4 | | 7 | | — | | 131 | | 4 | | 138 | | (13) | | 2020 | | MD1 MADRID (METRO), SPAIN | — | | — | | 8 | | — | | 9 | | — | | 17 | | (9) | | 2017 | | MD2 MADRID (METRO), SPAIN | — | | — | | 41 | | 19 | | 103 | | 19 | | 144 | | (56) | | 2017 | | MD6 MADRID (METRO), SPAIN | — | | — | | — | | — | | 42 | | — | | 42 | | (4) | | 2022 | | ML2 MILAN (METRO), ITALY | — | | — | | — | | — | | 27 | | — | | 27 | | (21) | | 2016 | | ML3 MILAN (METRO), ITALY | — | | — | | — | | 3 | | 45 | | 3 | | 45 | | (19) | | 2016 | | ML5 MILAN (METRO), ITALY | — | | 6 | | 21 | | — | | 105 | | 6 | | 126 | | (16) | | 2019 | | MU1 MUNICH (METRO), GERMANY | — | | — | | — | | — | | 35 | | — | | 35 | | (23) | | 2007 | | MU3 MUNICH (METRO), GERMANY | — | | — | | — | | — | | 6 | | — | | 6 | | (4) | | 2010 |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Initial Costs to Company (1) | | Costs Capitalized Subsequent to Acquisition or Lease (2) | | Total Costs | | | | Encumbrances | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Accumulated Depreciation (4) | | Date of Acquisition or Lease (5) | | MU4 MUNICH (METRO), GERMANY | — | | 11 | | 35 | | — | | 83 | | 11 | | 118 | | (12) | | 2020 | | PA2 & PA3 PARIS (METRO), FRANCE | — | | — | | 30 | | 21 | | 314 | | 21 | | 344 | | (158) | | 2007 | | PA4 PARIS (METRO), FRANCE | — | | 1 | | 10 | | — | | 225 | | 1 | | 235 | | (110) | | 2011 | | PA5 PARIS (METRO), FRANCE | — | | — | | 17 | | — | | 9 | | — | | 26 | | (12) | | 2016 | | PA6 PARIS (METRO), FRANCE | — | | — | | — | | — | | 89 | | — | | 89 | | (48) | | 2016 | | PA7 PARIS (METRO), FRANCE | — | | — | | — | | — | | 30 | | — | | 30 | | (22) | | 2016 | | PA10 PARIS (METRO), FRANCE | — | | — | | — | | — | | 166 | | — | | 166 | | (12) | | 2021 | | SK1 STOCKHOLM, (METRO), SWEDEN | — | | — | | 15 | | — | | 53 | | — | | 68 | | (19) | | 2016 | | SK2 STOCKHOLM, (METRO), SWEDEN | — | | — | | 80 | | 3 | | 61 | | 3 | | 141 | | (50) | | 2016 | | SK3 STOCKHOLM, (METRO), SWEDEN | — | | — | | — | | — | | 48 | | — | | 48 | | (12) | | 2016 | | SO1 SOFIA (METRO), BULGARIA | — | | — | | 5 | | — | | 4 | | — | | 9 | | (5) | | 2016 | | SO2 SOFIA (METRO), BULGARIA | — | | 3 | | — | | — | | 27 | | 3 | | 27 | | (5) | | 2017 | | WA1 WARSAW (METRO), POLAND | — | | — | | 6 | | — | | 26 | | — | | 32 | | (18) | | 2016 | | WA2 WARSAW (METRO), POLAND | — | | — | | 5 | | — | | 10 | | — | | 15 | | (8) | | 2016 | | WA3 WARSAW (METRO), POLAND | — | | 2 | | — | | 1 | | 67 | | 3 | | 67 | | (11) | | 2017 | | ZH2 ZURICH (METRO), SWITZERLAND | — | | — | | — | | — | | 6 | | — | | 6 | | (5) | | 2002 | | ZH4 ZURICH (METRO), SWITZERLAND | — | | — | | 11 | | — | | 56 | | — | | 67 | | (40) | | 2009 | | ZH5 ZURICH (METRO), SWITZERLAND | — | | — | | — | | 8 | | 253 | | 8 | | 253 | | (63) | | 2009 | | ZW1 ZWOLLE (METRO), THE NETHERLANDS | — | | — | | — | | — | | 11 | | — | | 11 | | (10) | | 2008 | OTHERS (6) | — | | 56 | | 18 | | 272 | | 381 | | 328 | | 399 | | (46) | | Various | | | | | | | | | | | | | | | | | | | | Asia-Pacific: | | | | | | | | | | | | | | | | | | | AE1 ADELAIDE (METRO), AUSTRALIA | — | | 2 | | 1 | | — | | 3 | | 2 | | 4 | | (2) | | 2018 | | BR1 BRISBANE (METRO), AUSTRALIA | — | | 3 | | 1 | | — | | 4 | | 3 | | 5 | | (2) | | 2018 | | CA1 CANBERRA (METRO), AUSTRALIA | — | | — | | 18 | | — | | 5 | | — | | 23 | | (6) | | 2018 | | HK1 HONG KONG (METRO), CHINA | — | | — | | — | | — | | 327 | | — | | 327 | | (148) | | 2003 | | HK2 HONG KONG (METRO), CHINA | — | | — | | — | | — | | 244 | | — | | 244 | | (202) | | 2010 | | HK3 HONG KONG (METRO), CHINA | — | | — | | — | | — | | 191 | | — | | 191 | | (122) | | 2012 | | HK4 HONG KONG (METRO), CHINA | — | | — | | — | | — | | 10 | | — | | 10 | | — | | 2012 | | HK5 HONG KONG (METRO), CHINA | — | | — | | 70 | | — | | 48 | | — | | 118 | | (47) | | 2017 | | JH1 JOHOR (METRO), MALAYSIA | — | | 3 | | 37 | | — | | 5 | | 3 | | 42 | | (1) | | 2024 | | KL1 KUALA LUMPUR (METRO), MALAYSIA | — | | — | | 31 | | — | | 15 | | — | | 46 | | (2) | | 2023 | | MB1 MUMBAI (METRO), INDIA | — | | — | | 26 | | — | | 8 | | — | | 34 | | (9) | | 2021 | | MB2 MUMBAI (METRO), INDIA | — | | — | | 57 | | 18 | | (11) | | 18 | | 46 | | (12) | | 2021 | | MB4 MUMBAI (METRO), INDIA | — | | — | | 18 | | — | | 1 | | — | | 19 | | (2) | | 2024 | | ME1 MELBOURNE (METRO), AUSTRALIA | — | | 13 | | — | | — | | 89 | | 13 | | 89 | | (38) | | 2013 | | ME2 MELBOURNE (METRO), AUSTRALIA | — | | — | | — | | — | | 128 | | — | | 128 | | (21) | | 2018 | | ME4 MELBOURNE (METRO), AUSTRALIA | — | | 3 | | 84 | | — | | 4 | | 3 | | 88 | | (36) | | 2018 |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Initial Costs to Company (1) | | Costs Capitalized Subsequent to Acquisition or Lease (2) | | Total Costs | | | | Encumbrances | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Land | | Buildings and Improvements (3) | | Accumulated Depreciation (4) | | Date of Acquisition or Lease (5) | | ME5 MELBOURNE (METRO), AUSTRALIA | — | | 6 | | 4 | | — | | 8 | | 6 | | 12 | | (4) | | 2018 | | OS1 OSAKA (METRO), JAPAN | — | | — | | 15 | | — | | 78 | | — | | 93 | | (51) | | 2013 | | OS3 OSAKA (METRO), JAPAN | — | | — | | — | | — | | 190 | | — | | 190 | | (42) | | 2020 | | PE1 PERTH (METRO), AUSTRALIA | — | | 1 | | 1 | | — | | 3 | | 1 | | 4 | | (1) | | 2018 | | PE2 PERTH (METRO), AUSTRALIA | — | | — | | 16 | | — | | 15 | | — | | 31 | | (13) | | 2018 | | PE3 PERTH (METRO), AUSTRALIA | — | | — | | — | | — | | 55 | | — | | 55 | | (11) | | 2020 | | SG1 SINGAPORE (METRO) | — | | — | | — | | — | | 297 | | — | | 297 | | (156) | | 2003 | | SG2 SINGAPORE (METRO) | — | | — | | — | | — | | 342 | | — | | 342 | | (265) | | 2008 | | SG3 SINGAPORE (METRO) | — | | — | | 35 | | — | | 250 | | — | | 285 | | (116) | | 2013 | | SG4 SINGAPORE (METRO) | — | | — | | 55 | | — | | 154 | | — | | 209 | | (56) | | 2019 | | SG5 SINGAPORE (METRO) | — | | — | | — | | — | | 348 | | — | | 348 | | (61) | | 2019 | | SH2 SHANGHAI (METRO), CHINA | — | | — | | — | | — | | 8 | | — | | 8 | | (6) | | 2012 | | SH3 SHANGHAI (METRO), CHINA | — | | — | | 7 | | — | | 14 | | — | | 21 | | (10) | | 2012 | | SH5 SHANGHAI (METRO), CHINA | — | | — | | 11 | | — | | 25 | | — | | 36 | | (22) | | 2012 | | SH6 SHANGHAI (METRO), CHINA | — | | — | | 17 | | — | | 34 | | — | | 51 | | (15) | | 2017 | | SL1 SEOUL (METRO), SOUTH KOREA | — | | — | | 29 | | — | | 27 | | — | | 56 | | (28) | | 2019 | | SL4 SEOUL (METRO), SOUTH KOREA | — | | — | | 22 | | — | | 5 | | — | | 27 | | (3) | | 2024 | | SY1 SYDNEY (METRO), AUSTRALIA | — | | — | | — | | 73 | | 38 | | 73 | | 38 | | (24) | | 2003 | | SY2 SYDNEY (METRO), AUSTRALIA | — | | — | | 3 | | — | | 24 | | — | | 27 | | (22) | | 2008 | | SY3 SYDNEY (METRO), AUSTRALIA | — | | — | | 9 | | — | | 128 | | — | | 137 | | (95) | | 2010 | | SY4 SYDNEY (METRO), AUSTRALIA | — | | — | | — | | — | | 162 | | — | | 162 | | (80) | | 2014 | | SY5 SYDNEY (METRO), AUSTRALIA | — | | 72 | | — | | — | | 343 | | 72 | | 343 | | (45) | | 2018 | | SY6 SYDNEY (METRO), AUSTRALIA | — | | 8 | | 64 | | — | | 36 | | 8 | | 100 | | (22) | | 2018 | | SY7 SYDNEY (METRO), AUSTRALIA | — | | 2 | | 47 | | — | | 2 | | 2 | | 49 | | (14) | | 2018 | | TY1 TOKYO (METRO), JAPAN | — | | — | | — | | — | | 28 | | — | | 28 | | (20) | | 2000 | | TY2 TOKYO (METRO), JAPAN | — | | — | | — | | — | | 100 | | — | | 100 | | (54) | | 2006 | | TY3 TOKYO (METRO), JAPAN | — | | — | | — | | — | | 56 | | — | | 56 | | (38) | | 2010 | | TY4 TOKYO (METRO), JAPAN | — | | — | | — | | — | | 63 | | — | | 63 | | (38) | | 2012 | | TY5 TOKYO (METRO), JAPAN | — | | — | | — | | — | | 45 | | — | | 45 | | (15) | | 2014 | | TY6 TOKYO (METRO), JAPAN | — | | — | | 38 | | — | | 13 | | — | | 51 | | (42) | | 2015 | | TY7 TOKYO (METRO), JAPAN | — | | — | | 13 | | — | | 11 | | — | | 24 | | (16) | | 2015 | | TY8 TOKYO (METRO), JAPAN | — | | — | | 54 | | — | | 10 | | — | | 64 | | (34) | | 2015 | | TY9 TOKYO (METRO), JAPAN | — | | — | | 93 | | — | | — | | — | | 93 | | (74) | | 2015 | | TY10 TOKYO (METRO), JAPAN | — | | — | | 66 | | — | | 1 | | — | | 67 | | (32) | | 2015 | | TY11 TOKYO (METRO), JAPAN | — | | — | | 22 | | — | | 207 | | — | | 229 | | (45) | | 2018 | | TY15 TOKYO (METRO), JAPAN | — | | — | | 109 | | — | | 111 | | — | | 220 | | (4) | | 2024 | OTHERS (6) | — | | — | | 2 | | 76 | | 225 | | 76 | | 227 | | (27) | | Various | | TOTAL LOCATIONS | $30 | | $590 | | $5,053 | | $1,072 | | $21,194 | | $1,662 | | $26,247 | | $(9,639) | | |
(1) The initial cost was $0 if the lease of the respective IBX was classified as an operating lease. (2) Costs capitalized subsequent to acquisition or lease are net of impairments and include the impact of allocations between land and buildings and improvements following the purchase of previously leased assets. (3) Building and improvements include all fixed assets except for land. (4) Buildings and improvements are depreciated on a straight-line basis over estimated useful live as described in Note 1 within the Consolidated Financial Statements. (5) Date of lease or acquisition represents the date we leased the facility or acquired the facility through purchase or acquisition. (6) Includes various IBXs that are under initial development and costs incurred at certain central locations supporting various IBX functions. The aggregate gross cost of our properties for federal income tax purpose approximated $34.0 billion (unaudited) as of December 31, 2024. The following table reconciles the historical cost of our properties for financial reporting purposes for each of the years ended December 31, 2024, 2023 and 2022 (in millions): | | | | | | | | | | | | | | | | | | | 2024 | | 2023 | | 2022 | | Gross Fixed Assets: | | | | | | | Balance, beginning of period | $ | 26,614 | | | $ | 23,803 | | | $ | 21,906 | | | Additions (including acquisitions and improvements) | 3,266 | | | 3,117 | | | 3,251 | | | Disposals | (626) | | | (589) | | | (544) | | Impairment charges (1) | (302) | | | — | | | — | | | Foreign currency transaction adjustments and others | (1,043) | | | 283 | | | (810) | | | Balance, end of year | $ | 27,909 | | | $ | 26,614 | | | $ | 23,803 | | | | | | | | | Accumulated Depreciation: | | | | | | | Balance, beginning of period | $ | (9,089) | | | $ | (8,095) | | | $ | (7,275) | | | Additions (depreciation expense) | (1,413) | | | (1,317) | | | (1,268) | | | Disposals | 317 | | | 413 | | | 230 | | Impairment charges (1) | 186 | | | — | | | — | | | Foreign currency transaction adjustments and others | 360 | | | (90) | | | 218 | | | Balance, end of year | $ | (9,639) | | | $ | (9,089) | | | $ | (8,095) | |
(1) Refer to Note 17 within the Consolidated Financial Statements.
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