Easterly Government Properties (DEA) Consolidated Net Income (2014 - 2026)
Easterly Government Properties' Consolidated Net Income was $3.16 million in Q2 2026, down 25.8% from $4.25 million a year earlier but up 123.3% from the prior quarter.
Easterly Government Properties (DEA) Consolidated Net Income (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Easterly Government Properties' Consolidated Net Income was $10.59 million through Jun 30, 2026, down 42.4% year-over-year; for FY2025, it came in at $13.56 million, down 34.1% from FY2024.
- Consolidated Net Income has now declined for three consecutive years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Consolidated Net Income was $20.58 million in FY2024 (-2.3%), $21.06 million in FY2023 (-40.8%), $35.56 million in FY2022 (+4.7%) and $33.96 million in FY2021 (+151.0%).
- Quarterly Consolidated Net Income has moved between $749,000 (Q3 2022) and $18.42 million (Q4 2022) over five years.
- Compared with a year earlier, Consolidated Net Income has declined for six straight quarters, with an average decline of 27.0% over the last eight quarters.
- The best year-over-year quarter for Consolidated Net Income over five years was Q3 2023 (growth of 711.9%); the worst was Q3 2022 (a decline of 91.7%).
- Per Business Quant data, DEA's Consolidated Net Income in the three quarters before Q2 2026 was $1.41 million (Q1 2026), $4.77 million (Q4 2025) and $1.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 462.98 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.12 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 3.54 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 370.51 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 502.94 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 72.22 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 275.88 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 535.31 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 117.74 Mn |
| 10 | Easterly Government Properties | 1.10 Bn | 1.14 Bn | 72.41 Mn | 3.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.16 Mn |
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 4.77 Mn |
| Sep 30, 2025 | 1.25 Mn |
| Jun 30, 2025 | 4.25 Mn |
| Mar 31, 2025 | 3.28 Mn |
| Dec 31, 2024 | 5.73 Mn |
| Sep 30, 2024 | 5.12 Mn |
| Jun 30, 2024 | 4.85 Mn |
| Mar 31, 2024 | 4.88 Mn |
| Dec 31, 2023 | 4.79 Mn |
| Sep 30, 2023 | 6.08 Mn |
| Jun 30, 2023 | 5.78 Mn |
| Mar 31, 2023 | 4.41 Mn |
| Dec 31, 2022 | 18.42 Mn |
| Sep 30, 2022 | 749,000.00 |
| Jun 30, 2022 | 8.13 Mn |
| Mar 31, 2022 | 8.26 Mn |
| Dec 31, 2021 | 7.78 Mn |
| Sep 30, 2021 | 9.04 Mn |
Easterly Government Properties Consolidated Net Income 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=consolidated-net-income&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();