Easterly Government Properties (DEA) Return on Sales [ROS] (2014 - 2026)
Easterly Government Properties (DEA) reported Return on Sales [ROS] of 2.14% for Q2 2026, down 0.43 percentage points from 2.57% a year earlier but up 2.82 percentage points from the prior quarter.
Easterly Government Properties (DEA) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Easterly Government Properties' Return on Sales [ROS] came in at 0.96%, down 2.08 percentage points year-over-year; for FY2025, it was 1.87%, down 0.33 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of 0.00 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 2.20% in FY2024 (+4.72 pp), -2.52% in FY2023 (-4.13 pp), 1.61% in FY2022 (-3.60 pp) and 5.21% in FY2021 (+3.34 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -4.02% in Q1 2023 and a high of 4.59% in Q4 2021.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of +0.76 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 6.79 percentage points); the low point was Q1 2023 (a drop of 8.24 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -0.68% (Q1 2026), 1.74% (Q4 2025) and 0.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 51.59% |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 43.38% |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 45.77% |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 37.85% |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | - |
| 10 | Easterly Government Properties | 1.10 Bn | 1.14 Bn | 72.41 Mn | 2.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.14% |
| Mar 31, 2026 | -0.68% |
| Dec 31, 2025 | 1.74% |
| Sep 30, 2025 | 0.65% |
| Jun 30, 2025 | 2.57% |
| Mar 31, 2025 | 2.59% |
| Dec 31, 2024 | 3.02% |
| Sep 30, 2024 | 4.06% |
| Jun 30, 2024 | 0.68% |
| Mar 31, 2024 | 0.98% |
| Dec 31, 2023 | -1.12% |
| Sep 30, 2023 | -2.73% |
| Jun 30, 2023 | -2.23% |
| Mar 31, 2023 | -4.02% |
| Dec 31, 2022 | -2.15% |
| Sep 30, 2022 | 0.09% |
| Jun 30, 2022 | 4.39% |
| Mar 31, 2022 | 4.23% |
| Dec 31, 2021 | 4.59% |
| Sep 30, 2021 | 3.49% |
Easterly Government Properties Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();