Office Properties Income Trust (OPI) General and Administrative (2009 - 2026)
Office Properties Income Trust (OPI) posted Selling, General & Administrative of $6.18 million for Q3 2026, up 24.5% from $4.96 million a year earlier and up 46.7% from the prior quarter.
Office Properties Income Trust (OPI) General and Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Selling, General & Administrative at Office Properties Income Trust was $19.28 million, down 4.1% year-over-year; for FY2025, it came in at $19.43 million, down 8.0% from FY2024.
- Annual Selling, General & Administrative has declined for six consecutive years, with a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- In prior years, Office Properties Income Trust's Selling, General & Administrative was $21.13 million in FY2024 (-7.1%), $22.73 million in FY2023 (-9.6%), $25.13 million in FY2022 (-6.4%) and $26.86 million in FY2021 (-5.6%).
- The Q3 2026 figure stands as the highest quarterly Selling, General & Administrative since Q3 2022.
- On a year-over-year basis, Selling, General & Administrative increased in two of the last eight quarters, with an average decline of 4.4%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2022, with growth of 166.7%; the weakest was Q4 2021, with a decline of 69.3%.
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 | 6.18 Mn |
| Jun 17, 2026 | 4.21 Mn |
| Mar 31, 2026 | 4.30 Mn |
| Dec 31, 2025 | 4.59 Mn |
| Sep 30, 2025 | 4.96 Mn |
| Jun 30, 2025 | 4.82 Mn |
| Mar 31, 2025 | 5.06 Mn |
| Dec 31, 2024 | 5.27 Mn |
| Sep 30, 2024 | 4.93 Mn |
| Jun 30, 2024 | 5.29 Mn |
| Mar 31, 2024 | 5.64 Mn |
| Dec 31, 2023 | 5.30 Mn |
| Sep 30, 2023 | 5.72 Mn |
| Jun 30, 2023 | 5.79 Mn |
| Mar 31, 2023 | 5.93 Mn |
| Dec 31, 2022 | 5.78 Mn |
| Sep 30, 2022 | 6.56 Mn |
| Jun 30, 2022 | 7.08 Mn |
| Mar 31, 2022 | 5.71 Mn |
| Dec 31, 2021 | 2.17 Mn |
Office Properties Income Trust General and Administrative 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=general-and-administrative&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();