Easterly Government Properties (DEA) EBITDA (2015 - 2026)
Easterly Government Properties (DEA) reported EBITDA of $33.52 million for Q3 2026, up 8.6% from $30.87 million a year earlier but down 5.6% from the prior quarter.
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Analysis
Easterly Government Properties (DEA) EBITDA (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Easterly Government Properties' EBITDA came in at $135.5 million, up 11.8% year-over-year; for FY2025, it was $125.43 million, up 16.2% from FY2024.
- EBITDA has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, EBITDA came in at $107.95 million in FY2024 (+21.4%), $88.91 million in FY2023 (-17.8%), $108.15 million in FY2022 (-3.3%) and $111.84 million in FY2021 (+5.7%).
- Five-year quarterly EBITDA spans a low of $21.43 million in Q1 2023 and a high of $35.53 million in Q2 2026.
- Year over year, EBITDA has now increased in each of the last 11 quarters, with growth averaging 14.6% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2024 (growth of 30.3%); the low point was Q1 2023 (a decline of 25.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $35.53 million (Q2 2026), $33.98 million (Q1 2026) and $32.48 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 1.24 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 1.60 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 1.32 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 732.77 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 1.44 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.17 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 180.80 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 291.91 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 591.18 Mn |
| 10 | Easterly Government Properties | 1.04 Bn | 1.06 Bn | 70.74 Mn | 33.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.52 Mn |
| Jun 30, 2026 | 35.53 Mn |
| Mar 31, 2026 | 33.98 Mn |
| Dec 31, 2025 | 32.48 Mn |
| Sep 30, 2025 | 30.87 Mn |
| Jun 30, 2025 | 31.98 Mn |
| Mar 31, 2025 | 30.11 Mn |
| Dec 31, 2024 | 28.25 Mn |
| Sep 30, 2024 | 28.01 Mn |
| Jun 30, 2024 | 26.01 Mn |
| Mar 31, 2024 | 25.69 Mn |
| Dec 31, 2023 | 23.76 Mn |
| Sep 30, 2023 | 21.50 Mn |
| Jun 30, 2023 | 22.22 Mn |
| Mar 31, 2023 | 21.43 Mn |
| Dec 31, 2022 | 24.37 Mn |
| Sep 30, 2022 | 26.40 Mn |
| Jun 30, 2022 | 28.79 Mn |
| Mar 31, 2022 | 28.58 Mn |
| Dec 31, 2021 | 28.47 Mn |
API Access
Easterly Government Properties EBITDA 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&ticker=DEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();