Office Properties Income Trust (OPI) Depreciation and Depletion (2015 - 2025)
Office Properties Income Trust (OPI) reported Depreciation and Depletion of $30.32 million for Q2 2025, down 2.2% from $30.99 million a year earlier but up 2.9% from the prior quarter.
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Analysis
Office Properties Income Trust (OPI) Depreciation and Depletion (2015 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Office Properties Income Trust's Depreciation and Depletion came in at $117.81 million, up 0.1% year-over-year; for FY2024, it came in at $118.71 million, up 10.5% from FY2023.
- Depreciation and Depletion has increased for four consecutive years, with a five-year compound annual growth rate of 5.8% (FY2019 to FY2024).
- By year, Depreciation and Depletion came in at $107.46 million in FY2023 (+10.8%), $96.97 million in FY2022 (+5.1%), $92.27 million in FY2021 (+10.1%) and $83.83 million in FY2020 (-6.2%).
- Five-year quarterly Depreciation and Depletion spans a low of $21.25 million in Q3 2020 and a high of $30.99 million in Q2 2024.
- Year over year, Depreciation and Depletion has now declined in each of the last three quarters, with growth averaging 10.2% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2023 (growth of 25.4%); the low point was Q4 2022 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q2 2025 came in at $29.46 million (Q1 2025), $29.12 million (Q4 2024) and $28.9 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 271.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 246.38 Mn |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 24.16 Mn |
| Jun 30, 2021 | 21.68 Mn |
| Mar 31, 2021 | 21.63 Mn |
| Dec 31, 2020 | 21.26 Mn |
| Sep 30, 2020 | 21.25 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();