Alpine Income Property Trust (PINE) Operating Expenses (2019 - 2026)
Alpine Income Property Trust (PINE) reported Operating Expenses of $11.3 million for Q2 2026, down 15.1% from $13.31 million a year earlier and down 5.0% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alpine Income Property Trust's Operating Expenses came in at $46.25 million, down 3.2% year-over-year; for FY2025, it was $49.46 million, up 18.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $41.66 million in FY2024 (-0.5%), $41.86 million in FY2023 (+20.3%), $34.78 million in FY2022 (+41.2%) and $24.64 million in FY2021 (+45.6%).
- Five-year quarterly Operating Expenses spans a low of $6.59 million in Q3 2021 and a high of $13.31 million in Q2 2025.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 5.2%.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 69.9%); the low point was Q3 2024 (a decline of 18.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.88 million (Q1 2026), $10.97 million (Q4 2025) and $12.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 566.18 Mn |
| 10 | Alpine Income Property Trust | 305.45 Mn | 326.70 Mn | 17.92 Mn | 11.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.30 Mn |
| Mar 31, 2026 | 11.88 Mn |
| Dec 31, 2025 | 10.97 Mn |
| Sep 30, 2025 | 12.10 Mn |
| Jun 30, 2025 | 13.31 Mn |
| Mar 31, 2025 | 13.09 Mn |
| Dec 31, 2024 | 10.92 Mn |
| Sep 30, 2024 | 10.45 Mn |
| Jun 30, 2024 | 10.41 Mn |
| Mar 31, 2024 | 9.88 Mn |
| Dec 31, 2023 | 10.16 Mn |
| Sep 30, 2023 | 12.77 Mn |
| Jun 30, 2023 | 9.65 Mn |
| Mar 31, 2023 | 9.28 Mn |
| Dec 31, 2022 | 8.99 Mn |
| Sep 30, 2022 | 9.14 Mn |
| Jun 30, 2022 | 8.46 Mn |
| Mar 31, 2022 | 8.20 Mn |
| Dec 31, 2021 | 7.65 Mn |
| Sep 30, 2021 | 6.59 Mn |
API Access
Alpine Income Property Trust Operating 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=operating-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();