Easterly Government Properties (DEA) FCF Margin (2014 - 2026)
Easterly Government Properties (DEA) posted FCF Margin of 48.24% for Q2 2026, up 2.99 percentage points from 45.24% a year earlier and up 18.38 percentage points from the prior quarter.
Easterly Government Properties (DEA) FCF Margin (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, FCF Margin at Easterly Government Properties was 75.27%, up 29.68 percentage points year-over-year; for FY2025, it came in at 77.12%, up 23.27 percentage points from FY2024.
- Annual FCF Margin has increased for eight consecutive years, with a five-year change of +112.81 percentage points (FY2020 to FY2025).
- In prior years, Easterly Government Properties' FCF Margin was 53.84% in FY2024 (+13.99 pp), 39.86% in FY2023 (+28.89 pp), 10.97% in FY2022 (+46.02 pp) and -35.05% in FY2021 (+0.65 pp).
- Quarterly FCF Margin has run from a low of -105.18% in Q4 2021 to a high of 179.88% in Q3 2025 over five years.
- On a year-over-year basis, FCF Margin increased in five of the last eight quarters, with an average year-over-year change of +15.22 percentage points.
- The strongest year-over-year quarter for FCF Margin in the past five years was Q4 2022, with a gain of 135.33 percentage points; the weakest was Q2 2022, with a drop of 53.31 percentage points.
- According to Business Quant data, FCF Margin for the three prior quarters was 29.86% (Q1 2026), 48.17% (Q4 2025) and 179.88% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 19.31% |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 52.96% |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 70.29% |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 65.90% |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 26.29% |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 63.45% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 66.74% |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | Easterly Government Properties | 1.08 Bn | 1.12 Bn | 72.41 Mn | 48.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.24% |
| Mar 31, 2026 | 29.86% |
| Dec 31, 2025 | 48.17% |
| Sep 30, 2025 | 179.88% |
| Jun 30, 2025 | 45.24% |
| Mar 31, 2025 | 30.74% |
| Dec 31, 2024 | 31.38% |
| Sep 30, 2024 | 76.46% |
| Jun 30, 2024 | 74.80% |
| Mar 31, 2024 | 32.82% |
| Dec 31, 2023 | 24.14% |
| Sep 30, 2023 | 52.62% |
| Jun 30, 2023 | 52.44% |
| Mar 31, 2023 | 30.36% |
| Dec 31, 2022 | 30.14% |
| Sep 30, 2022 | 32.60% |
| Jun 30, 2022 | -52.27% |
| Mar 31, 2022 | 32.66% |
| Dec 31, 2021 | -105.18% |
| Sep 30, 2021 | 22.04% |
Easterly Government Properties FCF 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=fcf-margin&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();