Alpine Income Property Trust (PINE) EBITDA (2019 - 2026)
Alpine Income Property Trust (PINE) posted EBITDA of $15.51 million for Q2 2026, up 68.7% from $9.2 million a year earlier and up 12.1% from the prior quarter.
Alpine Income Property Trust (PINE) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Alpine Income Property Trust was $51.1 million, up 27.5% year-over-year; for FY2025, it came in at $40.52 million, up 2.3% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- In prior years, Alpine Income Property Trust's EBITDA was $39.61 million in FY2024 (+1.8%), $38.9 million in FY2023 (-42.0%), $67.05 million in FY2022 (+115.6%) and $31.1 million in FY2021 (+147.6%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q3 2022.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 23.8% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 438.3%; the weakest was Q2 2023, with a decline of 63.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $13.83 million (Q1 2026), $12.73 million (Q4 2025) and $9.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 449.31 Mn |
| 10 | Alpine Income Property Trust | 305.45 Mn | 326.70 Mn | 17.92 Mn | 15.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.51 Mn |
| Mar 31, 2026 | 13.83 Mn |
| Dec 31, 2025 | 12.73 Mn |
| Sep 30, 2025 | 9.02 Mn |
| Jun 30, 2025 | 9.20 Mn |
| Mar 31, 2025 | 9.58 Mn |
| Dec 31, 2024 | 8.50 Mn |
| Sep 30, 2024 | 12.80 Mn |
| Jun 30, 2024 | 9.35 Mn |
| Mar 31, 2024 | 8.97 Mn |
| Dec 31, 2023 | 9.45 Mn |
| Sep 30, 2023 | 7.91 Mn |
| Jun 30, 2023 | 8.86 Mn |
| Mar 31, 2023 | 12.68 Mn |
| Dec 31, 2022 | 15.05 Mn |
| Sep 30, 2022 | 19.57 Mn |
| Jun 30, 2022 | 24.15 Mn |
| Mar 31, 2022 | 8.28 Mn |
| Dec 31, 2021 | 15.98 Mn |
| Sep 30, 2021 | 6.43 Mn |
Alpine Income Property Trust EBITDA 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=ebitda&ticker=PINE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();