Office Properties Income Trust (OPI) Depreciation and Depletion (2009 - 2026)
Office Properties Income Trust (OPI) reported Depreciation and Depletion of $5.49 million for Q3 2026, down 82.0% from $30.44 million a year earlier and down 87.3% from the prior quarter.
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Analysis
Office Properties Income Trust (OPI) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Office Properties Income Trust's Depreciation and Depletion came in at $112.81 million, down 5.5% year-over-year; for FY2025, it came in at $121.86 million, up 2.7% from FY2024.
- Depreciation and Depletion has increased for five consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $118.71 million in FY2024 (+10.5%), $107.46 million in FY2023 (+10.8%), $96.97 million in FY2022 (+5.1%) and $92.27 million in FY2021 (+10.1%).
- The Q3 2026 figure ranks as the lowest quarterly Depreciation and Depletion since Q3 2010.
- Year over year, Depreciation and Depletion gained in four of the last eight quarters, with an average decline of 2.6%.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2026 (growth of 42.4%); the low point was Q3 2026 (a decline of 82.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 312.96 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 | - | 897.98 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | - |
| 10 | Office Properties Income Trust | 334.79 Mn | 172.56 Mn | - | 5.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.49 Mn |
| Jun 17, 2026 | 43.19 Mn |
| Mar 31, 2026 | 32.50 Mn |
| Dec 31, 2025 | 31.63 Mn |
| Sep 30, 2025 | 30.44 Mn |
| Jun 30, 2025 | 30.32 Mn |
| Mar 31, 2025 | 29.46 Mn |
| Dec 31, 2024 | 29.12 Mn |
| Sep 30, 2024 | 28.90 Mn |
| Jun 30, 2024 | 30.99 Mn |
| Mar 31, 2024 | 29.70 Mn |
| Dec 31, 2023 | 29.83 Mn |
| Sep 30, 2023 | 27.18 Mn |
| Jun 30, 2023 | 25.51 Mn |
| Mar 31, 2023 | 24.95 Mn |
| Dec 31, 2022 | 23.79 Mn |
| Sep 30, 2022 | 23.72 Mn |
| Jun 30, 2022 | 24.49 Mn |
| Mar 31, 2022 | 24.97 Mn |
| Dec 31, 2021 | 24.80 Mn |
API Access
Office Properties Income Trust Depreciation and Depletion 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=depreciation-and-depletion&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();