Safehold (SAFE) Price to Earnings (2011 - 2026)
Safehold's (SAFE) Price to Earnings was 9.60 for Q2 2026, down 11.7% from 10.87 a year earlier but up 12.6% from the prior quarter.
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Analysis
Safehold (SAFE) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Safehold was 8.58, down 31.3% from FY2024.
- By year, Price to Earnings came in at 12.48 in FY2024, 4.55 in FY2022 (-76.0%) and 18.95 in FY2021.
- Five-year quarterly Price to Earnings spans a low of 0.85 in Q4 2022 and a high of 16.52 in Q3 2021.
- Year over year, Price to Earnings has now declined in each of the last four quarters, with an average decline of 28.2% over the last four quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 8.53 (Q1 2026), 8.58 (Q4 2025) and 9.87 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - |
| 10 | Safehold | 838.47 Mn | 962.52 Mn | 113.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.60 |
| Mar 31, 2026 | 8.53 |
| Dec 31, 2025 | 8.58 |
| Sep 30, 2025 | 9.87 |
| Jun 30, 2025 | 10.87 |
| Mar 31, 2025 | 12.86 |
| Dec 31, 2024 | 12.48 |
| Sep 30, 2024 | 15.50 |
| Jun 30, 2023 | 13.24 |
| Mar 31, 2023 | 16.30 |
| Dec 31, 2022 | 0.85 |
| Sep 30, 2022 | 0.88 |
| Jun 30, 2022 | 1.17 |
| Mar 31, 2022 | 1.75 |
| Dec 31, 2021 | 12.71 |
| Sep 30, 2021 | 16.52 |
| Mar 31, 2020 | 2.21 |
| Dec 31, 2019 | 2.51 |
| Sep 30, 2019 | 2.84 |
| Jun 30, 2019 | 2.86 |
API Access
Safehold Price to Earnings 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=price-to-earnings&ticker=SAFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SAFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();