Alpine Income Property Trust (PINE) Land & Improvements (2019 - 2026)
Alpine Income Property Trust's Land & Improvements came in at $166.57 million for Q2 2026, up 17.7% from $141.58 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Land & Improvements (2019 - 2026) Analysis & Trends
At the end of FY2025, Alpine Income Property Trust's Land & Improvements was $151.63 million, up 2.5% from FY2024.
- Land & Improvements carries a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Going back by year, Land & Improvements was $147.91 million in FY2024 (-0.9%), $149.31 million in FY2023 (-15.6%), $176.86 million in FY2022 (-0.7%) and $178.17 million in FY2021 (+114.1%).
- The Q2 2026 figure represents the highest quarterly Land & Improvements since Q4 2022.
- Year-over-year, Land & Improvements has increased for four consecutive quarters, with growth averaging 2.2% over the last eight quarters.
- The fastest year-over-year change in Land & Improvements over five years came in Q1 2022 (growth of 121.1%), and the weakest in Q1 2023 (a decline of 27.8%).
- Business Quant data shows PINE's Land & Improvements at $154.67 million (Q1 2026), $151.63 million (Q4 2025) and $151.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 7.24 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 | - | 18.91 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 6.00 Bn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 5.52 Bn |
| 10 | Alpine Income Property Trust | 305.45 Mn | 326.70 Mn | 17.92 Mn | 166.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166.57 Mn |
| Mar 31, 2026 | 154.67 Mn |
| Dec 31, 2025 | 151.63 Mn |
| Sep 30, 2025 | 151.50 Mn |
| Jun 30, 2025 | 141.58 Mn |
| Mar 31, 2025 | 146.55 Mn |
| Dec 31, 2024 | 147.91 Mn |
| Sep 30, 2024 | 132.43 Mn |
| Jun 30, 2024 | 152.68 Mn |
| Mar 31, 2024 | 150.33 Mn |
| Dec 31, 2023 | 149.31 Mn |
| Sep 30, 2023 | 150.43 Mn |
| Jun 30, 2023 | 151.70 Mn |
| Mar 31, 2023 | 141.51 Mn |
| Dec 31, 2022 | 176.86 Mn |
| Sep 30, 2022 | 177.47 Mn |
| Jun 30, 2022 | 180.57 Mn |
| Mar 31, 2022 | 195.95 Mn |
| Dec 31, 2021 | 178.17 Mn |
| Sep 30, 2021 | 133.33 Mn |
API Access
Alpine Income Property Trust Land & Improvements 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=land-and-improvements&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();