Alpine Income Property Trust (PINE) Operating Margin (2019 - 2026)
Alpine Income Property Trust's Operating Margin was 43.53% in Q2 2026, up 26.77 percentage points from 16.76% a year earlier and up 7.57 percentage points from the prior quarter.
Alpine Income Property Trust (PINE) Operating Margin (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alpine Income Property Trust's Operating Margin was 33.93% through Jun 30, 2026, up 10.51 percentage points year-over-year; for FY2025, it came in at 21.70%, down 5.13 percentage points from FY2024.
- Operating Margin has now declined for three consecutive years, though with a five-year change of +8.14 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 26.83% in FY2024 (-1.96 pp), 28.79% in FY2023 (-67.43 pp), 96.22% in FY2022 (+45.89 pp) and 50.33% in FY2021 (+36.77 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin since Q3 2024.
- Compared with a year earlier, Operating Margin has increased for three straight quarters, with an average year-over-year change of +6.13 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q2 2022 (a gain of 148.12 percentage points); the worst was Q2 2023 (a drop of 142.17 percentage points).
- Per Business Quant data, PINE's Operating Margin in the three quarters before Q2 2026 was 35.96% (Q1 2026), 35.26% (Q4 2025) and 16.61% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 51.59% |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 49.72% |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 37.85% |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Alpine Income Property Trust | 305.45 Mn | 326.70 Mn | 17.92 Mn | 43.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.53% |
| Mar 31, 2026 | 35.96% |
| Dec 31, 2025 | 35.26% |
| Sep 30, 2025 | 16.61% |
| Jun 30, 2025 | 16.76% |
| Mar 31, 2025 | 15.97% |
| Dec 31, 2024 | 14.32% |
| Sep 30, 2024 | 47.92% |
| Jun 30, 2024 | 24.00% |
| Mar 31, 2024 | 20.72% |
| Dec 31, 2023 | 25.71% |
| Sep 30, 2023 | 11.93% |
| Jun 30, 2023 | 21.48% |
| Mar 31, 2023 | 56.90% |
| Dec 31, 2022 | 75.17% |
| Sep 30, 2022 | 118.97% |
| Jun 30, 2022 | 163.64% |
| Mar 31, 2022 | 24.11% |
| Dec 31, 2021 | 115.65% |
| Sep 30, 2021 | 25.97% |
Alpine Income Property Trust Operating Margin 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-margin&ticker=PINE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();