Easterly Government Properties (DEA) Accumulated Depreciation (2015 - 2026)
Easterly Government Properties' Accumulated Depreciation came in at $625.12 million for Q3 2026, up 18.1% from $529.49 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Easterly Government Properties (DEA) Accumulated Depreciation (2015 - 2026) Analysis & Trends
At the end of FY2025, Easterly Government Properties' Accumulated Depreciation was $552.32 million, up 18.7% from FY2024.
- Accumulated Depreciation has increased in each of the last ten years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $465.18 million in FY2024 (+18.9%), $391.08 million in FY2023 (+21.7%), $321.28 million in FY2022 (+15.8%) and $277.38 million in FY2021 (+30.1%).
- The Q3 2026 figure represents the highest quarterly Accumulated Depreciation in data going back to Q1 2015.
- Year-over-year, Accumulated Depreciation has increased for 43 consecutive quarters, with growth averaging 18.6% over the last eight quarters.
- The year-over-year growth in Accumulated Depreciation has ranged between 13.5% (Q3 2023) and 30.1% (Q4 2021) over the last five years.
- Business Quant data shows DEA's Accumulated Depreciation at $601.67 million (Q2 2026), $577.01 million (Q1 2026) and $552.32 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Easterly Government Properties | 1.04 Bn | 1.06 Bn | 70.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 625.12 Mn |
| Jun 30, 2026 | 601.67 Mn |
| Mar 31, 2026 | 577.01 Mn |
| Dec 31, 2025 | 552.32 Mn |
| Sep 30, 2025 | 529.49 Mn |
| Jun 30, 2025 | 508.25 Mn |
| Mar 31, 2025 | 486.21 Mn |
| Dec 31, 2024 | 465.18 Mn |
| Sep 30, 2024 | 446.97 Mn |
| Jun 30, 2024 | 428.21 Mn |
| Mar 31, 2024 | 409.49 Mn |
| Dec 31, 2023 | 391.08 Mn |
| Sep 30, 2023 | 373.01 Mn |
| Jun 30, 2023 | 355.61 Mn |
| Mar 31, 2023 | 338.30 Mn |
| Dec 31, 2022 | 321.28 Mn |
| Sep 30, 2022 | 328.62 Mn |
| Jun 30, 2022 | 312.57 Mn |
| Mar 31, 2022 | 294.84 Mn |
| Dec 31, 2021 | 277.38 Mn |
API Access
Easterly Government Properties Accumulated Depreciation API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=DEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "DEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();