Easterly Government Properties (DEA) Long-Term Debt Repayments (2015 - 2026)
Easterly Government Properties' Long-Term Debt Repayments was $7.01 million in Q3 2026, up 506.4% from $1.16 million a year earlier and up 482.7% from the prior quarter.
Easterly Government Properties (DEA) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Easterly Government Properties' Long-Term Debt Repayments was $10.58 million through Sep 30, 2026, up 133.2% year-over-year; for FY2025, it came in at $4.6 million, down 88.1% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $38.8 million in FY2024 (+94.0%), $20 million in FY2023 (+83.5%), $10.9 million in FY2022 (+157.5%) and $4.23 million in FY2021 (+18.8%).
- The Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q3 2024.
- Compared with a year earlier, Long-Term Debt Repayments has increased for four straight quarters, with growth averaging 61.2% over the last seven quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2026 (growth of 506.4%); the worst was Q3 2025 (a decline of 97.8%).
- Per Business Quant data, DEA's Long-Term Debt Repayments in the three quarters before Q3 2026 was $1.2 million (Q2 2026), $1.19 million (Q1 2026) and $1.18 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 1.19 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 382.44 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 4.87 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 183.83 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 61.00 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 133.33 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 565.55 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 6.12 Bn |
| 10 | Easterly Government Properties | 1.04 Bn | 1.06 Bn | 70.74 Mn | 7.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.01 Mn |
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 1.19 Mn |
| Dec 31, 2025 | 1.18 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 1.14 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 52.09 Mn |
| Jun 30, 2024 | -15.53 Mn |
| Mar 31, 2024 | 1.12 Mn |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 16.74 Mn |
| Dec 31, 2022 | 6.96 Mn |
| Sep 30, 2022 | 1.31 Mn |
| Jun 30, 2022 | 1.33 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | 1.29 Mn |
Easterly Government Properties Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();