Easterly Government Properties (DEA) Impairment of Real Estate (CF) (2022 - 2025)
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Analysis
Easterly Government Properties (DEA) Impairment of Real Estate (CF) (2022 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - |
| 10 | Easterly Government Properties | 1.07 Bn | 1.08 Bn | 72.41 Mn |
API Access
Easterly Government Properties Impairment of Real Estate (CF) 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=impairment-of-real-estate-cf&ticker=DEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "impairment-of-real-estate-cf", "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=impairment-of-real-estate-cf&ticker=DEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();