Easterly Government Properties (DEA) Accounts Payable and Accrued Liabilities (2013 - 2026)
Easterly Government Properties' Accounts Payables came in at $110.93 million for Q3 2026, down 8.7% from $121.57 million a year earlier but up 0.3% from the prior quarter.
Easterly Government Properties (DEA) Accounts Payable and Accrued Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Easterly Government Properties' Accounts Payables was $109.69 million, up 8.3% from FY2024.
- Accounts Payables has increased in each of the last 11 years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $101.27 million in FY2024 (+26.3%), $80.21 million in FY2023 (+19.1%), $67.34 million in FY2022 (+10.6%) and $60.89 million in FY2021 (+25.4%).
- The five-year range for quarterly Accounts Payables is $56.24 million (Q2 2022) to $121.57 million (Q3 2025).
- Year-over-year, Accounts Payables increased in five of the last eight quarters, with growth averaging 6.4%.
- The fastest year-over-year change in Accounts Payables over five years came in Q2 2024 (growth of 64.9%), and the weakest in Q3 2026 (a decline of 8.7%).
- Business Quant data shows DEA's Accounts Payables at $110.6 million (Q2 2026), $108.2 million (Q1 2026) and $109.69 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Easterly Government Properties | 1.04 Bn | 1.06 Bn | 70.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 110.93 Mn |
| Jun 30, 2026 | 110.60 Mn |
| Mar 31, 2026 | 108.20 Mn |
| Dec 31, 2025 | 109.69 Mn |
| Sep 30, 2025 | 121.57 Mn |
| Jun 30, 2025 | 115.11 Mn |
| Mar 31, 2025 | 91.16 Mn |
| Dec 31, 2024 | 101.27 Mn |
| Sep 30, 2024 | 113.77 Mn |
| Jun 30, 2024 | 106.16 Mn |
| Mar 31, 2024 | 95.64 Mn |
| Dec 31, 2023 | 80.21 Mn |
| Sep 30, 2023 | 75.79 Mn |
| Jun 30, 2023 | 64.36 Mn |
| Mar 31, 2023 | 62.83 Mn |
| Dec 31, 2022 | 67.34 Mn |
| Sep 30, 2022 | 67.67 Mn |
| Jun 30, 2022 | 56.24 Mn |
| Mar 31, 2022 | 56.93 Mn |
| Dec 31, 2021 | 60.89 Mn |
Easterly Government Properties Accounts Payable and Accrued Liabilities 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=accounts-payable-and-accrued-liabilities&ticker=DEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payable-and-accrued-liabilities", "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=accounts-payable-and-accrued-liabilities&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();