Office Properties Income Trust (OPI) EBITDA (2010 - 2025)
Office Properties Income Trust's EBITDA was $55.93 million in Q2 2025, down 66.2% from $165.44 million a year earlier but up 7.3% from the prior quarter.
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Analysis
Office Properties Income Trust (OPI) EBITDA (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Office Properties Income Trust's EBITDA was $86.2 million through Jun 30, 2025, down 77.1% year-over-year; for FY2024, it was $224.94 million, down 17.9% from FY2023.
- EBITDA has now declined for five consecutive years, with a five-year compound annual growth rate of -13.4% (FY2019 to FY2024).
- In earlier years, EBITDA was $274.11 million in FY2023 (-15.9%), $325.81 million in FY2022 (-7.4%), $351.93 million in FY2021 (-6.0%) and $374.46 million in FY2020 (-18.7%).
- Quarterly EBITDA has moved between -$53 million (Q4 2024) and $165.44 million (Q2 2024) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last seven quarters, with an average decline of 8.0%.
- The best year-over-year quarter for EBITDA over five years was Q2 2022 (growth of 261.9%); the worst was Q2 2021 (a decline of 79.4%).
- Per Business Quant data, OPI's EBITDA in the three quarters before Q2 2025 was $52.14 million (Q1 2025), -$53 million (Q4 2024) and $31.14 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.94 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 1.29 Bn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 1.35 Bn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 754.44 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 449.31 Mn |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 55.93 Mn |
| Mar 31, 2025 | 52.14 Mn |
| Dec 31, 2024 | -53.00 Mn |
| Sep 30, 2024 | 31.14 Mn |
| Jun 30, 2024 | 165.44 Mn |
| Mar 31, 2024 | 81.35 Mn |
| Dec 31, 2023 | 66.85 Mn |
| Sep 30, 2023 | 62.65 Mn |
| Jun 30, 2023 | 67.04 Mn |
| Mar 31, 2023 | 77.58 Mn |
| Dec 31, 2022 | 83.58 Mn |
| Sep 30, 2022 | 96.48 Mn |
| Jun 30, 2022 | 69.19 Mn |
| Mar 31, 2022 | 76.56 Mn |
| Dec 31, 2021 | 108.62 Mn |
| Sep 30, 2021 | 91.67 Mn |
| Jun 30, 2021 | 19.12 Mn |
| Mar 31, 2021 | 132.51 Mn |
| Dec 31, 2020 | 91.43 Mn |
| Sep 30, 2020 | 87.29 Mn |
API Access
Office Properties Income Trust EBITDA 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=ebitda&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();