Alpine Income Property Trust (PINE) Non Operating Interest Expenses (2025 - 2026)
Alpine Income Property Trust (PINE) recorded Non Operating Interest Expenses of $4.58 million in Q2 2026, up 6.0% from $4.32 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Non Operating Interest Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Alpine Income Property Trust's Non Operating Interest Expenses came in at $16.84 million as of Jun 30, 2026; for FY2025, it was $16.27 million, up 35.5% from FY2024.
- Across earlier years, Non Operating Interest Expenses came in at $12.01 million in FY2024 (+18.1%) and $10.17 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Alpine Income Property Trust | 306.51 Mn | 327.76 Mn | 17.92 Mn | 4.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.58 Mn |
| Mar 31, 2026 | 4.35 Mn |
| Jun 30, 2025 | 4.32 Mn |
| Mar 31, 2025 | 3.59 Mn |
API Access
Alpine Income Property Trust Non Operating Interest 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=non-operating-interest-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();