Easterly Government Properties (DEA) Shares Outstanding (2015 - 2026)
Easterly Government Properties' Shares Outstanding was 46.46 million in Q2 2026, up 3.2% from 45.01 million a year earlier and up 0.4% from the prior quarter.
Easterly Government Properties (DEA) Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Easterly Government Properties came in at 44.92 million, up 8.6% from FY2024.
- Shares Outstanding has now increased for ten consecutive years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 41.38 million in FY2024 (+9.7%), 37.71 million in FY2023 (+4.0%), 36.25 million in FY2022 (+7.8%) and 33.62 million in FY2021 (+7.4%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q1 2015.
- Compared with a year earlier, Shares Outstanding has increased for 42 straight quarters, with growth averaging 8.0% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 1.1% (Q1 2023) and 12.0% (Q1 2024) over the last five years.
- Per Business Quant data, DEA's Shares Outstanding in the three quarters before Q2 2026 was 46.26 million (Q1 2026), 44.92 million (Q4 2025) and 45.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 933.09 Mn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 326.37 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 932.31 Mn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 175.56 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 374.18 Mn |
| 10 | Easterly Government Properties | 1.09 Bn | 1.14 Bn | 72.41 Mn | 46.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.46 Mn |
| Mar 31, 2026 | 46.26 Mn |
| Dec 31, 2025 | 44.92 Mn |
| Sep 30, 2025 | 45.34 Mn |
| Jun 30, 2025 | 45.01 Mn |
| Mar 31, 2025 | 43.22 Mn |
| Dec 31, 2024 | 41.38 Mn |
| Sep 30, 2024 | 41.41 Mn |
| Jun 30, 2024 | 41.17 Mn |
| Mar 31, 2024 | 40.80 Mn |
| Dec 31, 2023 | 37.71 Mn |
| Sep 30, 2023 | 37.41 Mn |
| Jun 30, 2023 | 37.34 Mn |
| Mar 31, 2023 | 36.44 Mn |
| Dec 31, 2022 | 36.25 Mn |
| Sep 30, 2022 | 36.31 Mn |
| Jun 30, 2022 | 36.30 Mn |
| Mar 31, 2022 | 36.06 Mn |
| Dec 31, 2021 | 33.62 Mn |
| Sep 30, 2021 | 33.58 Mn |
Easterly Government Properties Shares Outstanding 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=shares-outstanding&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();