Easterly Government Properties (DEA) Other Operating Expenses (2014 - 2026)
Easterly Government Properties' Other Operating Expenses was $69.88 million in Q2 2026, up 11.8% from $62.5 million a year earlier but down 1.6% from the prior quarter.
Easterly Government Properties (DEA) Other Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Easterly Government Properties' Other Operating Expenses was $270.73 million through Jun 30, 2026, up 16.6% year-over-year; for FY2025, it was $250.9 million, up 12.3% from FY2024.
- Other Operating Expenses has now increased for 12 consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $223.39 million in FY2024 (+1.2%), $220.84 million in FY2023 (+0.1%), $220.72 million in FY2022 (+9.3%) and $201.91 million in FY2021 (+6.3%).
- Quarterly Other Operating Expenses has moved between $51.47 million (Q3 2021) and $70.98 million (Q1 2026) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for seven straight quarters, with growth averaging 10.5% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2026 (growth of 21.3%); the worst was Q3 2023 (a decline of 3.5%).
- Per Business Quant data, DEA's Other Operating Expenses in the three quarters before Q2 2026 was $70.98 million (Q1 2026), $65.29 million (Q4 2025) and $64.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Easterly Government Properties | 1.10 Bn | 1.14 Bn | 72.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.88 Mn |
| Mar 31, 2026 | 70.98 Mn |
| Dec 31, 2025 | 65.29 Mn |
| Sep 30, 2025 | 64.59 Mn |
| Jun 30, 2025 | 62.50 Mn |
| Mar 31, 2025 | 58.53 Mn |
| Dec 31, 2024 | 56.70 Mn |
| Sep 30, 2024 | 54.43 Mn |
| Jun 30, 2024 | 57.18 Mn |
| Mar 31, 2024 | 55.08 Mn |
| Dec 31, 2023 | 55.30 Mn |
| Sep 30, 2023 | 54.91 Mn |
| Jun 30, 2023 | 54.89 Mn |
| Mar 31, 2023 | 55.73 Mn |
| Dec 31, 2022 | 56.68 Mn |
| Sep 30, 2022 | 56.90 Mn |
| Jun 30, 2022 | 53.71 Mn |
| Mar 31, 2022 | 53.43 Mn |
| Dec 31, 2021 | 52.78 Mn |
| Sep 30, 2021 | 51.47 Mn |
Easterly Government Properties Other Operating Expenses 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=other-operating-expenses&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();