Office Properties Income Trust (OPI) Capital Expenditures (2010 - 2025)
Office Properties Income Trust (OPI) reported Capital Expenditures of $10.51 million for Q2 2025, down 38.1% from $16.97 million a year earlier and down 6.4% from the prior quarter.
Office Properties Income Trust (OPI) Capital Expenditures (2010 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Office Properties Income Trust's Capital Expenditures came in at $88.11 million, down 40.2% year-over-year; for FY2024, it came in at $123.38 million, down 46.1% from FY2023.
- Capital Expenditures has a five-year compound annual growth rate of 14.5% (FY2019 to FY2024).
- By year, Capital Expenditures came in at $229 million in FY2023 (+12.2%), $204.1 million in FY2022 (+103.8%), $100.14 million in FY2021 (+22.5%) and $81.76 million in FY2020 (+30.5%).
- The Q2 2025 figure ranks as the lowest quarterly Capital Expenditures since Q2 2019.
- Year over year, Capital Expenditures has now declined in each of the last eight quarters, with an average decline of 39.4% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q2 2022 (growth of 231.3%); the low point was Q2 2024 (a decline of 76.4%).
- Per Business Quant data, the three quarters before Q2 2025 came in at $11.23 million (Q1 2025), $30.3 million (Q4 2024) and $36.08 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 799.74 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 208.40 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.42 Mn |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 10.51 Mn |
| Mar 31, 2025 | 11.23 Mn |
| Dec 31, 2024 | 30.30 Mn |
| Sep 30, 2024 | 36.08 Mn |
| Jun 30, 2024 | 16.97 Mn |
| Mar 31, 2024 | 40.03 Mn |
| Dec 31, 2023 | 53.38 Mn |
| Sep 30, 2023 | 36.90 Mn |
| Jun 30, 2023 | 72.06 Mn |
| Mar 31, 2023 | 66.67 Mn |
| Dec 31, 2022 | 67.07 Mn |
| Sep 30, 2022 | 47.89 Mn |
| Jun 30, 2022 | 52.92 Mn |
| Mar 31, 2022 | 36.23 Mn |
| Dec 31, 2021 | 34.96 Mn |
| Sep 30, 2021 | 33.88 Mn |
| Jun 30, 2021 | 15.97 Mn |
| Mar 31, 2021 | 15.33 Mn |
| Dec 31, 2020 | 26.63 Mn |
| Sep 30, 2020 | 23.09 Mn |
Office Properties Income Trust Capital Expenditures 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=capital-expenditures&ticker=OPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();