Safehold (SAFE) Real Estate, at Cost (2009 - 2026)
Safehold (SAFE) posted Real Estate, at Cost of $743.84 million for Q3 2026, up 0.4% from $740.97 million a year earlier and unchanged from the prior quarter.
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Analysis
Safehold (SAFE) Real Estate, at Cost (2009 - 2026) Analysis & Trends
At the end of FY2025, Safehold's Real Estate, at Cost came in at $740.97 million, unchanged from FY2024.
- Annual Real Estate, at Cost shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, Safehold's Real Estate, at Cost was $740.97 million in FY2024 (-0.5%), $744.34 million in FY2023 (+0.5%), $740.97 million in FY2022 (unchanged) and $740.97 million in FY2021 (-1.5%).
- The Q3 2026 figure stands as the highest quarterly Real Estate, at Cost since Q4 2023.
- On a year-over-year basis, Real Estate, at Cost has increased in each of the last three quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Real Estate, at Cost in the past five years was Q3 2023, with growth of 566.5%; the weakest was Q1 2022, with a decline of 93.5%.
- According to Business Quant data, Real Estate, at Cost for the three prior quarters was $743.82 million (Q2 2026), $743.73 million (Q1 2026) and $740.97 million (Q4 2025).
Peer Set
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 | Safehold | 696.84 Mn | 806.74 Mn | 117.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 743.84 Mn |
| Jun 30, 2026 | 743.82 Mn |
| Mar 31, 2026 | 743.73 Mn |
| Dec 31, 2025 | 740.97 Mn |
| Sep 30, 2025 | 740.97 Mn |
| Jun 30, 2025 | 740.97 Mn |
| Mar 31, 2025 | 740.97 Mn |
| Dec 31, 2024 | 740.97 Mn |
| Sep 30, 2024 | 740.97 Mn |
| Jun 30, 2024 | 740.97 Mn |
| Mar 31, 2024 | 743.42 Mn |
| Dec 31, 2023 | 744.34 Mn |
| Sep 30, 2023 | 744.57 Mn |
| Jun 30, 2023 | 740.97 Mn |
| Mar 31, 2023 | 740.97 Mn |
| Dec 31, 2022 | 740.97 Mn |
| Sep 30, 2022 | 111.72 Mn |
| Jun 30, 2022 | 111.91 Mn |
| Mar 31, 2022 | 113.68 Mn |
| Dec 31, 2021 | 740.97 Mn |
API Access
Safehold Real Estate, at Cost 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=real-estate-at-cost&ticker=SAFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-at-cost", "ticker": "SAFE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=real-estate-at-cost&ticker=SAFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();