Office Properties Income Trust (OPI) Total Operating Expenses (2009 - 2026)
Office Properties Income Trust (OPI) posted Operating Expenses of $127.73 million for Q3 2026, up 4.0% from $122.81 million a year earlier and up 169.5% from the prior quarter.
Office Properties Income Trust (OPI) Total Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at Office Properties Income Trust was $383.44 million, down 12.3% year-over-year; for FY2025, it was $436.24 million, down 26.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, Office Properties Income Trust's Operating Expenses was $595.82 million in FY2024 (+25.5%), $474.59 million in FY2023 (+2.1%), $465.03 million in FY2022 (-12.9%) and $533.82 million in FY2021 (+11.4%).
- The Q3 2026 figure stands as the highest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 17.7%.
- 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%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Office Properties Income Trust | 334.79 Mn | 172.56 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 127.73 Mn |
| Jun 17, 2026 | 47.40 Mn |
| Mar 31, 2026 | 100.84 Mn |
| Dec 31, 2025 | 107.48 Mn |
| Sep 30, 2025 | 122.81 Mn |
| 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 |
Office Properties Income Trust Total 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=total-operating-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-operating-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();