Alpine Income Property Trust (PINE) Enterprise Value (2019 - 2026)
Alpine Income Property Trust (PINE) reported Enterprise Value of $383.75 million for Q2 2026, up 70.2% from $225.42 million a year earlier and up 21.9% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Enterprise Value (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alpine Income Property Trust's Enterprise Value came in at $375.36 million, up 79.8% year-over-year; for FY2025, it came in at $263.97 million, up 0.7% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- By year, Enterprise Value came in at $262.2 million in FY2024 (+4.1%), $251.83 million in FY2023 (-8.9%), $276.28 million in FY2022 (+9.9%) and $251.44 million in FY2021 (+90.1%).
- The Q2 2026 figure ranks as the highest quarterly Enterprise Value in data going back to Q4 2019.
- Year over year, Enterprise Value has now increased in each of the last three quarters, with growth averaging 12.2% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q4 2021 (growth of 90.1%); the low point was Q3 2025 (a decline of 21.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $314.7 million (Q1 2026), $263.97 million (Q4 2025) and $221.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - |
| 10 | Alpine Income Property Trust | 305.45 Mn | 326.70 Mn | 17.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 383.75 Mn |
| Mar 31, 2026 | 314.70 Mn |
| Dec 31, 2025 | 263.97 Mn |
| Sep 30, 2025 | 221.13 Mn |
| Jun 30, 2025 | 225.42 Mn |
| Mar 31, 2025 | 257.78 Mn |
| Dec 31, 2024 | 262.20 Mn |
| Sep 30, 2024 | 280.54 Mn |
| Jun 30, 2024 | 233.10 Mn |
| Mar 31, 2024 | 227.64 Mn |
| Dec 31, 2023 | 251.83 Mn |
| Sep 30, 2023 | 251.67 Mn |
| Jun 30, 2023 | 253.71 Mn |
| Mar 31, 2023 | 266.10 Mn |
| Dec 31, 2022 | 276.28 Mn |
| Sep 30, 2022 | 222.94 Mn |
| Jun 30, 2022 | 242.80 Mn |
| Mar 31, 2022 | 250.12 Mn |
| Dec 31, 2021 | 251.44 Mn |
| Sep 30, 2021 | 231.46 Mn |
API Access
Alpine Income Property Trust Enterprise Value 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=enterprise-value&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();