Easterly Government Properties (DEA) EBIT (2014 - 2026)
Easterly Government Properties (DEA) posted EBIT of $1.08 million for Q3 2026, up 92.8% from $558,000 a year earlier but down 45.7% from the prior quarter.
Easterly Government Properties (DEA) EBIT (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBIT at Easterly Government Properties was $3.95 million, down 44.5% year-over-year; for FY2025, it came in at $6.28 million, down 5.4% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Easterly Government Properties' EBIT was $6.64 million in FY2024, -$7.23 million in FY2023, $4.74 million in FY2022 (-66.9%) and $14.32 million in FY2021 (+213.1%).
- Quarterly EBIT has run from a low of -$2.86 million in Q1 2023 to a high of $3.29 million in Q4 2021 over five years.
- On a year-over-year basis, EBIT increased in three of the last six quarters, with growth averaging 78.2%.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2025, with growth of 316.2%; the weakest was Q3 2022, with a decline of 97.3%.
- According to Business Quant data, EBIT for the three prior quarters was $1.98 million (Q2 2026), -$620,000 (Q1 2026) and $1.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 530.61 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 1.04 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 804.45 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 316.96 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 789.27 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 723.47 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 94.33 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | -624.02 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 391.87 Mn |
| 10 | Easterly Government Properties | 1.04 Bn | 1.06 Bn | 70.74 Mn | 1.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.08 Mn |
| Jun 30, 2026 | 1.98 Mn |
| Mar 31, 2026 | -620,000.00 |
| Dec 31, 2025 | 1.52 Mn |
| Sep 30, 2025 | 558,000.00 |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Sep 30, 2024 | 3.04 Mn |
| Jun 30, 2024 | 520,000.00 |
| Mar 31, 2024 | 713,000.00 |
| Dec 31, 2023 | -816,000.00 |
| Sep 30, 2023 | -1.97 Mn |
| Jun 30, 2023 | -1.59 Mn |
| Mar 31, 2023 | -2.86 Mn |
| Dec 31, 2022 | -1.58 Mn |
| Sep 30, 2022 | 65,000.00 |
| Jun 30, 2022 | 3.19 Mn |
| Mar 31, 2022 | 3.06 Mn |
| Dec 31, 2021 | 3.29 Mn |
Easterly Government Properties EBIT 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=ebit&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();