Alpine Income Property Trust (PINE) Price to Earnings (2020 - 2026)
Alpine Income Property Trust's (PINE) Price to Earnings was 99.31 for Q2 2026.
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Analysis
Alpine Income Property Trust (PINE) Price to Earnings (2020 - 2026) Analysis & Trends
For FY2024, Price to Earnings at Alpine Income Property Trust was 119.40, up 50.8% from FY2023.
- By year, Price to Earnings came in at 79.18 in FY2023 (+820.8%), 8.60 in FY2022 (-62.7%), 23.04 in FY2021 (-79.7%) and 113.51 in FY2020.
- The Q2 2026 figure ranks as the highest quarterly Price to Earnings since Q1 2025.
- The high point for year-over-year Price to Earnings in five years was Q4 2023 (growth of 985.3%); the low point was Q3 2022 (a decline of 94.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Alpine Income Property Trust | 306.51 Mn | 327.76 Mn | 17.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.31 |
| Mar 31, 2025 | 210.18 |
| Dec 31, 2024 | 119.40 |
| Sep 30, 2024 | 88.92 |
| Dec 31, 2023 | 93.32 |
| Sep 30, 2023 | 30.26 |
| Jun 30, 2023 | 12.64 |
| Mar 31, 2023 | 7.34 |
| Dec 31, 2022 | 8.60 |
| Sep 30, 2022 | 5.83 |
| Jun 30, 2022 | 8.75 |
| Mar 31, 2022 | 21.43 |
| Dec 31, 2021 | 23.04 |
| Sep 30, 2021 | 112.32 |
| Jun 30, 2021 | 114.08 |
| Mar 31, 2021 | 97.06 |
| Dec 31, 2020 | 113.28 |
API Access
Alpine Income Property Trust 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=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PINE", "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=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();