Easterly Government Properties (DEA) Land (2015 - 2026)
Easterly Government Properties' Land & Improvements was $321.6 million in Q3 2026, up 2.2% from $314.64 million a year earlier and unchanged from the prior quarter.
Easterly Government Properties (DEA) Land (2015 - 2026) Analysis & Trends
At the end of FY2025, Land & Improvements at Easterly Government Properties came in at $314.64 million, up 17.6% from FY2024.
- Land & Improvements has now increased for three consecutive years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In earlier years, Land & Improvements was $267.54 million in FY2024 (+20.5%), $222 million in FY2023 (+3.9%), $213.59 million in FY2022 (-4.1%) and $222.84 million in FY2021 (+3.6%).
- Compared with a year earlier, Land & Improvements has increased for 12 straight quarters, with growth averaging 17.8% over the last eight quarters.
- The best year-over-year quarter for Land & Improvements over five years was Q3 2025 (growth of 29.2%); the worst was Q2 2023 (a decline of 7.9%).
- Per Business Quant data, DEA's Land & Improvements in the three quarters before Q3 2026 was $321.6 million (Q2 2026), $321.6 million (Q1 2026) and $314.64 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 | 321.60 Mn |
| Jun 30, 2026 | 321.60 Mn |
| Mar 31, 2026 | 321.60 Mn |
| Dec 31, 2025 | 314.64 Mn |
| Sep 30, 2025 | 314.64 Mn |
| Jun 30, 2025 | 305.60 Mn |
| Mar 31, 2025 | 267.54 Mn |
| Dec 31, 2024 | 267.54 Mn |
| Sep 30, 2024 | 243.54 Mn |
| Jun 30, 2024 | 241.06 Mn |
| Mar 31, 2024 | 222.00 Mn |
| Dec 31, 2023 | 222.00 Mn |
| Sep 30, 2023 | 213.59 Mn |
| Jun 30, 2023 | 213.59 Mn |
| Mar 31, 2023 | 213.59 Mn |
| Dec 31, 2022 | 213.59 Mn |
| Sep 30, 2022 | 231.60 Mn |
| Jun 30, 2022 | 231.84 Mn |
| Mar 31, 2022 | 222.84 Mn |
| Dec 31, 2021 | 222.84 Mn |
Easterly Government Properties Land 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=land&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land", "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=land&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();