Alpine Income Property Trust (PINE) Buildings (2019 - 2026)
Alpine Income Property Trust (PINE) posted Buildings of $349.45 million for Q2 2026, down 2.1% from $356.84 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Buildings (2019 - 2026) Analysis & Trends
At the end of FY2025, Alpine Income Property Trust's Buildings came in at $344.14 million, up 0.6% from FY2024.
- Annual Buildings has increased for five consecutive years, with a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In prior years, Alpine Income Property Trust's Buildings was $341.96 million in FY2024 (+3.9%), $328.99 million in FY2023 (+2.0%), $322.51 million in FY2022 (+21.1%) and $266.24 million in FY2021 (+86.6%).
- Quarterly Buildings has run from a low of $231.33 million in Q3 2021 to a high of $358.66 million in Q1 2025 over five years.
- On a year-over-year basis, Buildings increased in five of the last eight quarters, with growth averaging 2.4%.
- The strongest year-over-year quarter for Buildings in the past five years was Q1 2022, with growth of 97.2%; the weakest was Q3 2024, with a decline of 4.6%.
- According to Business Quant data, Buildings for the three prior quarters was $342.37 million (Q1 2026), $344.14 million (Q4 2025) and $350.3 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 | 349.45 Mn |
| Mar 31, 2026 | 342.37 Mn |
| Dec 31, 2025 | 344.14 Mn |
| Sep 30, 2025 | 350.30 Mn |
| Jun 30, 2025 | 356.84 Mn |
| Mar 31, 2025 | 358.66 Mn |
| Dec 31, 2024 | 341.96 Mn |
| Sep 30, 2024 | 317.26 Mn |
| Jun 30, 2024 | 334.31 Mn |
| Mar 31, 2024 | 329.12 Mn |
| Dec 31, 2023 | 328.99 Mn |
| Sep 30, 2023 | 332.65 Mn |
| Jun 30, 2023 | 332.20 Mn |
| Mar 31, 2023 | 310.38 Mn |
| Dec 31, 2022 | 322.51 Mn |
| Sep 30, 2022 | 307.35 Mn |
| Jun 30, 2022 | 304.13 Mn |
| Mar 31, 2022 | 307.99 Mn |
| Dec 31, 2021 | 266.24 Mn |
| Sep 30, 2021 | 231.33 Mn |
API Access
Alpine Income Property Trust Buildings 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=buildings&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();