Alpine Income Property Trust (PINE) Total Liabilities (2019 - 2026)
Alpine Income Property Trust's Total Liabilities came in at $422.97 million for Q2 2026, up 12.4% from $376.36 million a year earlier and up 2.8% from the prior quarter.
Alpine Income Property Trust (PINE) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Alpine Income Property Trust's Total Liabilities was $414.62 million, up 26.2% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $328.5 million in FY2024 (+13.7%), $288.95 million in FY2023 (+3.9%), $278.06 million in FY2022 (+0.2%) and $277.61 million in FY2021 (+145.4%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2019.
- Year-over-year, Total Liabilities has increased for 11 consecutive quarters, with growth averaging 20.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 164.2%), and the weakest in Q1 2023 (a decline of 21.1%).
- Business Quant data shows PINE's Total Liabilities at $411.46 million (Q1 2026), $414.62 million (Q4 2025) and $376.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 22.44 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 42.89 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 34.13 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 34.51 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 10.83 Bn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 14.95 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 | 18.67 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 9.58 Bn |
| 10 | Alpine Income Property Trust | 305.45 Mn | 326.70 Mn | 17.92 Mn | 422.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 422.97 Mn |
| Mar 31, 2026 | 411.46 Mn |
| Dec 31, 2025 | 414.62 Mn |
| Sep 30, 2025 | 376.21 Mn |
| Jun 30, 2025 | 376.36 Mn |
| Mar 31, 2025 | 383.61 Mn |
| Dec 31, 2024 | 328.50 Mn |
| Sep 30, 2024 | 307.03 Mn |
| Jun 30, 2024 | 297.42 Mn |
| Mar 31, 2024 | 286.17 Mn |
| Dec 31, 2023 | 288.95 Mn |
| Sep 30, 2023 | 261.79 Mn |
| Jun 30, 2023 | 262.41 Mn |
| Mar 31, 2023 | 260.98 Mn |
| Dec 31, 2022 | 278.06 Mn |
| Sep 30, 2022 | 297.77 Mn |
| Jun 30, 2022 | 312.60 Mn |
| Mar 31, 2022 | 330.56 Mn |
| Dec 31, 2021 | 277.61 Mn |
| Sep 30, 2021 | 198.92 Mn |
Alpine Income Property Trust Total Liabilities 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=total-liabilities&ticker=PINE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();