Easterly Government Properties (DEA) Net Margin (2014 - 2026)
Easterly Government Properties (DEA) recorded Net Margin of 3.30% in Q2 2026, down 1.53 percentage points from 4.83% a year earlier but up 1.81 percentage points from the prior quarter.
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Analysis
Easterly Government Properties (DEA) Net Margin (2014 - 2026) Analysis & Trends
On a TTM basis, Easterly Government Properties' Net Margin came in at 2.86% as of Jun 30, 2026, down 2.68 percentage points year-over-year; for FY2025, it came in at 3.87%, down 2.60 percentage points from FY2024.
- Annual Net Margin has declined for four straight years, with a five-year change of -1.01 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at 6.47% in FY2024 (-0.07 pp), 6.55% in FY2023 (-4.17 pp), 10.72% in FY2022 (-0.22 pp) and 10.94% in FY2021 (+6.06 pp).
- Quarterly Net Margin has ranged from 0.86% in Q3 2022 to 22.17% in Q4 2022 over the past five years.
- On a year-over-year basis, Net Margin has declined for six consecutive quarters, with an average year-over-year change of -1.81 percentage points over the last eight quarters.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 12.55 percentage points in Q4 2022, against a drop of 16.06 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.49% (Q1 2026), 5.28% (Q4 2025) and 1.41% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 12.55% |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 43.74% |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 170.16% |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 22.22% |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 36.52% |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 4.08% |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 30.14% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 49.74% |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | Easterly Government Properties | 1.08 Bn | 1.12 Bn | 72.41 Mn | 3.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.30% |
| Mar 31, 2026 | 1.49% |
| Dec 31, 2025 | 5.28% |
| Sep 30, 2025 | 1.41% |
| Jun 30, 2025 | 4.83% |
| Mar 31, 2025 | 3.97% |
| Dec 31, 2024 | 6.97% |
| Sep 30, 2024 | 6.50% |
| Jun 30, 2024 | 6.05% |
| Mar 31, 2024 | 6.35% |
| Dec 31, 2023 | 6.11% |
| Sep 30, 2023 | 7.46% |
| Jun 30, 2023 | 7.15% |
| Mar 31, 2023 | 5.46% |
| Dec 31, 2022 | 22.17% |
| Sep 30, 2022 | 0.86% |
| Jun 30, 2022 | 9.89% |
| Mar 31, 2022 | 10.15% |
| Dec 31, 2021 | 9.62% |
| Sep 30, 2021 | 11.46% |
API Access
Easterly Government Properties Net 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=net-margin&ticker=DEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();