Alpine Income Property Trust (PINE) Change in Accured Expenses (2019 - 2026)
Alpine Income Property Trust (PINE) recorded Change in Accured Expenses of $4,000 in Q2 2026, down 99.3% from $561,000 a year earlier and down 94.3% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Change in Accured Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Alpine Income Property Trust's Change in Accured Expenses came in at -$1.54 million as of Jun 30, 2026; for FY2025, it was -$1.03 million.
- Across earlier years, Change in Accured Expenses came in at $877,000 in FY2024 (+564.4%), $132,000 in FY2023 (-39.2%), $217,000 in FY2022 (-67.8%) and $673,000 in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$1.29 million in Q4 2025 to $1.48 million in Q2 2023 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in 1 of the last four quarters, with an average decline of 21.2%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 159.3% in Q1 2026, against a decline of 99.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $70,000 (Q1 2026), -$1.29 million (Q4 2025) and -$329,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 28.09 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Alpine Income Property Trust | 306.51 Mn | 327.76 Mn | 17.92 Mn | 4,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,000.00 |
| Mar 31, 2026 | 70,000.00 |
| Dec 31, 2025 | -1.29 Mn |
| Sep 30, 2025 | -329,000.00 |
| Jun 30, 2025 | 561,000.00 |
| Mar 31, 2025 | 27,000.00 |
| Dec 31, 2024 | -302,000.00 |
| Sep 30, 2024 | -455,000.00 |
| Jun 30, 2024 | 1.13 Mn |
| Mar 31, 2024 | 506,000.00 |
| Dec 31, 2023 | -1.10 Mn |
| Sep 30, 2023 | -923,000.00 |
| Jun 30, 2023 | 1.48 Mn |
| Mar 31, 2023 | 673,000.00 |
| Dec 31, 2022 | -349,000.00 |
| Sep 30, 2022 | -29,000.00 |
| Jun 30, 2022 | 635,000.00 |
| Mar 31, 2022 | -40,000.00 |
| Dec 31, 2021 | -196,000.00 |
| Sep 30, 2021 | -37,000.00 |
API Access
Alpine Income Property Trust Change in Accured Expenses 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=change-in-accured-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();