Office Properties Income Trust (OPI) Interest Expenses (2010 - 2025)
Office Properties Income Trust (OPI) recorded Interest Expenses of $52.51 million in Q2 2025, up 36.9% from $38.35 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Office Properties Income Trust (OPI) Interest Expenses (2010 - 2025) Analysis & Trends
On a TTM basis, Office Properties Income Trust's Interest Expenses came in at $195.81 million as of Jun 30, 2025, up 47.5% year-over-year; for FY2024, it was $163.75 million, up 48.0% from FY2023.
- Annual Interest Expenses has a five-year compound annual growth rate of 4.0% (FY2019 to FY2024).
- Across earlier years, Interest Expenses came in at $110.65 million in FY2023 (+6.9%), $103.48 million in FY2022 (-7.9%), $112.39 million in FY2021 (+3.8%) and $108.3 million in FY2020 (-19.7%).
- Quarterly Interest Expenses has ranged from $24.56 million in Q4 2022 to $53.38 million in Q1 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for eight consecutive quarters, with growth averaging 39.5% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 57.5% in Q4 2024, against a decline of 16.3% in Q3 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $53.38 million (Q1 2025), $47.34 million (Q4 2024) and $42.58 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 276.31 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 275.66 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 82.46 Mn |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 52.51 Mn |
| Mar 31, 2025 | 53.38 Mn |
| Dec 31, 2024 | 47.34 Mn |
| Sep 30, 2024 | 42.58 Mn |
| Jun 30, 2024 | 38.35 Mn |
| Mar 31, 2024 | 35.48 Mn |
| Dec 31, 2023 | 30.06 Mn |
| Sep 30, 2023 | 28.84 Mn |
| Jun 30, 2023 | 26.53 Mn |
| Mar 31, 2023 | 25.23 Mn |
| Dec 31, 2022 | 24.56 Mn |
| Sep 30, 2022 | 24.97 Mn |
| Jun 30, 2022 | 26.52 Mn |
| Mar 31, 2022 | 27.44 Mn |
| Dec 31, 2021 | 27.66 Mn |
| Sep 30, 2021 | 26.93 Mn |
| Jun 30, 2021 | 29.00 Mn |
| Mar 31, 2021 | 28.80 Mn |
| Dec 31, 2020 | 28.84 Mn |
| Sep 30, 2020 | 27.10 Mn |
API Access
Office Properties Income Trust 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=interest-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "OPI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();