Easterly Government Properties (DEA) EBITDA Margin (2015 - 2026)
Easterly Government Properties (DEA) posted EBITDA Margin of 36.94% for Q2 2026, up 0.50 percentage points from 36.44% a year earlier and up 1.33 percentage points from the prior quarter.
Easterly Government Properties (DEA) EBITDA Margin (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Easterly Government Properties was 35.67%, down 0.22 percentage points year-over-year; for FY2025, it was 35.76%, up 1.67 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -4.75 percentage points (FY2020 to FY2025).
- In prior years, Easterly Government Properties' EBITDA Margin was 34.09% in FY2024 (+4.82 pp), 29.27% in FY2023 (-5.81 pp), 35.08% in FY2022 (-3.34 pp) and 38.41% in FY2021 (-2.09 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q2 2022.
- On a year-over-year basis, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +2.18 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2024, with a gain of 7.72 percentage points; the weakest was Q1 2023, with a drop of 9.25 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 35.61% (Q1 2026), 35.77% (Q4 2025) and 34.25% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 80.02% |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 75.19% |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 87.42% |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 61.19% |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 36.41% |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Easterly Government Properties | 1.09 Bn | 1.14 Bn | 72.41 Mn | 36.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.94% |
| Mar 31, 2026 | 35.61% |
| Dec 31, 2025 | 35.77% |
| Sep 30, 2025 | 34.25% |
| Jun 30, 2025 | 36.44% |
| Mar 31, 2025 | 36.65% |
| Dec 31, 2024 | 34.53% |
| Sep 30, 2024 | 35.88% |
| Jun 30, 2024 | 32.28% |
| Mar 31, 2024 | 33.67% |
| Dec 31, 2023 | 31.03% |
| Sep 30, 2023 | 28.16% |
| Jun 30, 2023 | 29.46% |
| Mar 31, 2023 | 28.39% |
| Dec 31, 2022 | 31.46% |
| Sep 30, 2022 | 33.47% |
| Jun 30, 2022 | 37.85% |
| Mar 31, 2022 | 37.64% |
| Dec 31, 2021 | 37.60% |
| Sep 30, 2021 | 36.51% |
Easterly Government Properties EBITDA Margin 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=ebitda-margin&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();