Easterly Government Properties (DEA) Acquisitions, Development and Improvements of Real Estate (2015 - 2026)
Easterly Government Properties (DEA) reported Capital Expenditures of $7.52 million for Q3 2026, down 19.0% from $9.28 million a year earlier and down 18.2% from the prior quarter.
Easterly Government Properties (DEA) Acquisitions, Development and Improvements of Real Estate (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Easterly Government Properties' Capital Expenditures came in at $31.41 million, down 0.1% year-over-year; for FY2025, it was $34.13 million, down 54.8% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of -32.9% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $75.51 million in FY2024 (+64.6%), $45.88 million in FY2023 (-72.4%), $166.42 million in FY2022 (+11.3%) and $149.49 million in FY2021 (-40.4%).
- Five-year quarterly Capital Expenditures spans a low of $4.35 million in Q2 2023 and a high of $79.03 million in Q4 2022.
- Year over year, Capital Expenditures gained in three of the last eight quarters, with an average decline of 14.2%.
- The high point for year-over-year Capital Expenditures in five years was Q4 2022 (growth of 295.6%); the low point was Q4 2023 (a decline of 89.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $9.19 million (Q2 2026), $5.54 million (Q1 2026) and $9.16 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.52 Mn |
| Jun 30, 2026 | 9.19 Mn |
| Mar 31, 2026 | 5.54 Mn |
| Dec 31, 2025 | 9.16 Mn |
| Sep 30, 2025 | 9.28 Mn |
| Jun 30, 2025 | 7.09 Mn |
| Mar 31, 2025 | 8.60 Mn |
| Dec 31, 2024 | 6.46 Mn |
| Sep 30, 2024 | 49.46 Mn |
| Jun 30, 2024 | 11.69 Mn |
| Mar 31, 2024 | 7.91 Mn |
| Dec 31, 2023 | 7.98 Mn |
| Sep 30, 2023 | 25.80 Mn |
| Jun 30, 2023 | 4.35 Mn |
| Mar 31, 2023 | 7.76 Mn |
| Dec 31, 2022 | 79.03 Mn |
| Sep 30, 2022 | 23.77 Mn |
| Jun 30, 2022 | 36.61 Mn |
| Mar 31, 2022 | 27.00 Mn |
| Dec 31, 2021 | 19.98 Mn |
Easterly Government Properties Acquisitions, Development and Improvements of Real Estate 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=acquisitions-development-and-improvements-of-real-estate&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions-development-and-improvements-of-real-estate", "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=acquisitions-development-and-improvements-of-real-estate&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();