Alpine Income Property Trust (PINE) Accumulated Depreciation (2019 - 2026)
Alpine Income Property Trust (PINE) posted Accumulated Depreciation of $62.86 million for Q2 2026, up 23.8% from $50.79 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Accumulated Depreciation (2019 - 2026) Analysis & Trends
At the end of FY2025, Alpine Income Property Trust's Accumulated Depreciation came in at $54.45 million, up 18.7% from FY2024.
- Annual Accumulated Depreciation has increased for five consecutive years, with a five-year compound annual growth rate of 52.7% (FY2020 to FY2025).
- In prior years, Alpine Income Property Trust's Accumulated Depreciation was $45.85 million in FY2024 (+32.1%), $34.71 million in FY2023 (+55.6%), $22.31 million in FY2022 (+44.7%) and $15.42 million in FY2021 (+135.4%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Depreciation in data going back to Q4 2019.
- On a year-over-year basis, Accumulated Depreciation has increased in each of the last 22 quarters, with growth averaging 25.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Depreciation ran from 18.7% in Q4 2025 to 180.8% in Q3 2021.
- According to Business Quant data, Accumulated Depreciation for the three prior quarters was $58.59 million (Q1 2026), $54.45 million (Q4 2025) and $53.96 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 | 62.86 Mn |
| Mar 31, 2026 | 58.59 Mn |
| Dec 31, 2025 | 54.45 Mn |
| Sep 30, 2025 | 53.96 Mn |
| Jun 30, 2025 | 50.79 Mn |
| Mar 31, 2025 | 48.06 Mn |
| Dec 31, 2024 | 45.85 Mn |
| Sep 30, 2024 | 42.30 Mn |
| Jun 30, 2024 | 41.88 Mn |
| Mar 31, 2024 | 38.93 Mn |
| Dec 31, 2023 | 34.71 Mn |
| Sep 30, 2023 | 31.52 Mn |
| Jun 30, 2023 | 28.57 Mn |
| Mar 31, 2023 | 25.59 Mn |
| Dec 31, 2022 | 22.31 Mn |
| Sep 30, 2022 | 19.21 Mn |
| Jun 30, 2022 | 17.53 Mn |
| Mar 31, 2022 | 18.97 Mn |
| Dec 31, 2021 | 15.42 Mn |
| Sep 30, 2021 | 13.25 Mn |
API Access
Alpine Income Property Trust Accumulated Depreciation 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-depreciation&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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-depreciation&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();