Office Properties Income Trust (OPI) Operating Expenses (2010 - 2025)
Office Properties Income Trust (OPI) posted Operating Expenses of $104.05 million for Q2 2025, down 55.7% from $235.05 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Office Properties Income Trust (OPI) Operating Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Jun 30, 2025, Operating Expenses at Office Properties Income Trust was $459.31 million, down 22.2% year-over-year; for FY2024, it was $595.82 million, up 25.5% from FY2023.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.7% (FY2019 to FY2024).
- In prior years, Office Properties Income Trust's Operating Expenses was $474.59 million in FY2023 (+2.1%), $465.03 million in FY2022 (-12.9%), $533.82 million in FY2021 (+11.4%) and $479.16 million in FY2020 (-16.6%).
- Quarterly Operating Expenses has run from a low of $100.73 million in Q4 2022 to a high of $235.05 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with growth averaging 9.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 101.2%; the weakest was Q2 2025, with a decline of 55.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $101.9 million (Q1 2025), $108.39 million (Q4 2024) and $144.97 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.47 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 994.93 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 566.18 Mn |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 104.05 Mn |
| Mar 31, 2025 | 101.90 Mn |
| Dec 31, 2024 | 108.39 Mn |
| Sep 30, 2024 | 144.97 Mn |
| Jun 30, 2024 | 235.05 Mn |
| Mar 31, 2024 | 107.41 Mn |
| Dec 31, 2023 | 124.48 Mn |
| Sep 30, 2023 | 123.78 Mn |
| Jun 30, 2023 | 116.84 Mn |
| Mar 31, 2023 | 109.49 Mn |
| Dec 31, 2022 | 100.73 Mn |
| Sep 30, 2022 | 111.69 Mn |
| Jun 30, 2022 | 118.52 Mn |
| Mar 31, 2022 | 134.10 Mn |
| Dec 31, 2021 | 126.15 Mn |
| Sep 30, 2021 | 113.97 Mn |
| Jun 30, 2021 | 162.66 Mn |
| Mar 31, 2021 | 131.04 Mn |
| Dec 31, 2020 | 118.99 Mn |
| Sep 30, 2020 | 122.28 Mn |
API Access
Office Properties Income Trust Operating 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=operating-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();