Alpine Income Property Trust (PINE) Accumulated Expenses (2019 - 2026)
Alpine Income Property Trust (PINE) reported Accumulated Expenses of $2.49 million for Q2 2026, down 72.7% from $9.14 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Alpine Income Property Trust posted Accumulated Expenses of $2.42 million, down 27.0% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 38.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $3.31 million in FY2024 (+35.1%), $2.45 million in FY2023 (+52.2%), $1.61 million in FY2022 (+138.0%) and $676,000 in FY2021 (+42.6%).
- Five-year quarterly Accumulated Expenses spans a low of $676,000 in Q4 2021 and a high of $9.14 million in Q2 2025.
- Year over year, Accumulated Expenses has now declined in each of the last four quarters, with growth averaging 9.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2022 (growth of 138.0%); the low point was Q2 2026 (a decline of 72.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.55 million (Q1 2026), $2.42 million (Q4 2025) and $3.46 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 | 2.49 Mn |
| Mar 31, 2026 | 2.55 Mn |
| Dec 31, 2025 | 2.42 Mn |
| Sep 30, 2025 | 3.46 Mn |
| Jun 30, 2025 | 9.14 Mn |
| Mar 31, 2025 | 3.23 Mn |
| Dec 31, 2024 | 3.31 Mn |
| Sep 30, 2024 | 3.82 Mn |
| Jun 30, 2024 | 4.06 Mn |
| Mar 31, 2024 | 2.98 Mn |
| Dec 31, 2023 | 2.45 Mn |
| Sep 30, 2023 | 2.79 Mn |
| Jun 30, 2023 | 2.54 Mn |
| Mar 31, 2023 | 2.26 Mn |
| Dec 31, 2022 | 1.61 Mn |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | 1.89 Mn |
| Mar 31, 2022 | 1.05 Mn |
| Dec 31, 2021 | 676,000.00 |
| Sep 30, 2021 | 1.30 Mn |
API Access
Alpine Income Property Trust Accumulated 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=accumulated-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();