Alpine Income Property Trust (PINE) Total Non-Current Liabilities (2019 - 2026)
Alpine Income Property Trust (PINE) reported Total Non-Current Liabilities of $421.57 million for Q2 2026, up 12.3% from $375.3 million a year earlier and up 2.8% from the prior quarter.
Alpine Income Property Trust (PINE) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Alpine Income Property Trust posted Total Non-Current Liabilities of $413.27 million, up 26.2% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $327.37 million in FY2024 (+13.7%), $287.9 million in FY2023 (+3.9%), $277.12 million in FY2022 (-0.1%) and $277.44 million in FY2021 (+146.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 11 quarters, with growth averaging 20.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 146.2%); the low point was Q1 2023 (a decline of 21.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $410.19 million (Q1 2026), $413.27 million (Q4 2025) and $375.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 38.97 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 33.12 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 33.49 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 | 17.65 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 9.30 Bn |
| 10 | Alpine Income Property Trust | 305.45 Mn | 326.70 Mn | 17.92 Mn | 421.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 421.57 Mn |
| Mar 31, 2026 | 410.19 Mn |
| Dec 31, 2025 | 413.27 Mn |
| Sep 30, 2025 | 375.28 Mn |
| Jun 30, 2025 | 375.30 Mn |
| Mar 31, 2025 | 382.47 Mn |
| Dec 31, 2024 | 327.37 Mn |
| Sep 30, 2024 | 306.11 Mn |
| Jun 30, 2024 | 296.32 Mn |
| Mar 31, 2024 | 285.09 Mn |
| Dec 31, 2023 | 287.90 Mn |
| Sep 30, 2023 | 260.58 Mn |
| Jun 30, 2023 | 260.13 Mn |
| Mar 31, 2023 | 260.85 Mn |
| Dec 31, 2022 | 277.12 Mn |
| Sep 30, 2022 | 297.60 Mn |
| Jun 30, 2022 | 312.44 Mn |
| Mar 31, 2022 | 331.52 Mn |
| Dec 31, 2021 | 277.44 Mn |
| Sep 30, 2021 | 198.87 Mn |
Alpine Income Property Trust Total Non-Current 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-non-current-liabilities&ticker=PINE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();