Office Properties Income Trust (OPI) Rental Revenue (2009 - 2026)
Office Properties Income Trust's Rental Revenue was $114.17 million in Q3 2026, up 4.6% from $109.13 million a year earlier and up 15.9% from the prior quarter.
Powered by 
Analysis
Office Properties Income Trust (OPI) Rental Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Office Properties Income Trust's Rental Revenue was $426.82 million through Sep 30, 2026, down 6.3% year-over-year; for FY2025, it came in at $442.56 million, down 11.8% from FY2024.
- Rental Revenue has now declined for six consecutive years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In earlier years, Rental Revenue was $501.98 million in FY2024 (-5.9%), $533.55 million in FY2023 (-3.7%), $554.28 million in FY2022 (-3.9%) and $576.48 million in FY2021 (-1.9%).
- The Q3 2026 figure marks the highest quarterly Rental Revenue since Q2 2025.
- Compared with a year earlier, Rental Revenue was higher in 1 of the last eight quarters, with an average decline of 8.9%.
- The best year-over-year quarter for Rental Revenue over five years was Q1 2024 (growth of 5.3%); the worst was Q1 2025 (a decline of 18.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 488.64 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 2.21 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 1.68 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 1.48 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 362.72 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 219.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 1.19 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 760.84 Mn |
| 10 | Office Properties Income Trust | 334.79 Mn | 172.56 Mn | - | 114.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 114.17 Mn |
| Jun 17, 2026 | 98.47 Mn |
| Mar 31, 2026 | 108.87 Mn |
| Dec 31, 2025 | 105.32 Mn |
| Sep 30, 2025 | 109.13 Mn |
| Jun 30, 2025 | 114.50 Mn |
| Mar 31, 2025 | 113.62 Mn |
| Dec 31, 2024 | 118.24 Mn |
| Sep 30, 2024 | 120.62 Mn |
| Jun 30, 2024 | 123.69 Mn |
| Mar 31, 2024 | 139.44 Mn |
| Dec 31, 2023 | 133.77 Mn |
| Sep 30, 2023 | 133.36 Mn |
| Jun 30, 2023 | 134.00 Mn |
| Mar 31, 2023 | 132.42 Mn |
| Dec 31, 2022 | 127.92 Mn |
| Sep 30, 2022 | 137.68 Mn |
| Jun 30, 2022 | 141.32 Mn |
| Mar 31, 2022 | 147.35 Mn |
| Dec 31, 2021 | 147.29 Mn |
API Access
Office Properties Income Trust Rental Revenue 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=rental-revenue&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-revenue", "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=rental-revenue&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();