Easterly Government Properties (DEA) Depreciation and Amortization (2015 - 2026)
Easterly Government Properties (DEA) recorded Depreciation and Amortization of $30.96 million in Q3 2026, up 7.0% from $28.95 million a year earlier but down 3.7% from the prior quarter.
Easterly Government Properties (DEA) Depreciation and Amortization (2015 - 2026) Analysis & Trends
On a TTM basis, Easterly Government Properties' Depreciation and Amortization came in at $125.96 million as of Sep 30, 2026, up 15.6% year-over-year; for FY2025, it was $113.9 million, up 18.2% from FY2024.
- Annual Depreciation and Amortization has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Across earlier years, Depreciation and Amortization came in at $96.33 million in FY2024 (+5.5%), $91.29 million in FY2023 (-7.1%), $98.25 million in FY2022 (+7.7%) and $91.27 million in FY2021 (-2.7%).
- Quarterly Depreciation and Amortization has ranged from $22.25 million in Q3 2023 to $33.22 million in Q1 2026 over the past five years.
- On a year-over-year basis, Depreciation and Amortization has increased for 11 consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Amortization in the last five years was growth of 24.0% in Q1 2026, against a decline of 11.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.16 million (Q2 2026), $33.22 million (Q1 2026) and $29.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | D&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 706.79 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 710.30 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 510.77 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 412.61 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 647.56 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 446.01 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 83.16 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 897.98 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 189.60 Mn |
| 10 | Easterly Government Properties | 1.04 Bn | 1.06 Bn | 70.74 Mn | 30.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.96 Mn |
| Jun 30, 2026 | 32.16 Mn |
| Mar 31, 2026 | 33.22 Mn |
| Dec 31, 2025 | 29.62 Mn |
| Sep 30, 2025 | 28.95 Mn |
| Jun 30, 2025 | 28.53 Mn |
| Mar 31, 2025 | 26.80 Mn |
| Dec 31, 2024 | 24.65 Mn |
| Sep 30, 2024 | 23.80 Mn |
| Jun 30, 2024 | 24.09 Mn |
| Mar 31, 2024 | 23.80 Mn |
| Dec 31, 2023 | 23.35 Mn |
| Sep 30, 2023 | 22.25 Mn |
| Jun 30, 2023 | 22.62 Mn |
| Mar 31, 2023 | 23.08 Mn |
| Dec 31, 2022 | 24.70 Mn |
| Sep 30, 2022 | 25.05 Mn |
| Jun 30, 2022 | 24.34 Mn |
| Mar 31, 2022 | 24.16 Mn |
| Dec 31, 2021 | 23.65 Mn |
Easterly Government Properties Depreciation and Amortization 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=depreciation-and-amortization&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();