Office Properties Income Trust (OPI) Depreciation and Amortization (2009 - 2026)
Office Properties Income Trust's Depreciation and Amortization came in at $57.84 million for Q3 2026, up 35.0% from $42.83 million a year earlier and up 6.3% from the prior quarter.
Office Properties Income Trust (OPI) Depreciation and Amortization (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Office Properties Income Trust reported Depreciation and Amortization of $200.91 million, up 12.6% year-over-year; for FY2025, it was $174.96 million, down 10.2% from FY2024.
- Depreciation and Amortization has declined in each of the last six years, with a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- Going back by year, Depreciation and Amortization was $194.74 million in FY2024 (-6.9%), $209.25 million in FY2023 (-6.0%), $222.56 million in FY2022 (-7.8%) and $241.49 million in FY2021 (-4.0%).
- The Q3 2026 figure represents the highest quarterly Depreciation and Amortization since Q1 2022.
- Year-over-year, Depreciation and Amortization has increased for three consecutive quarters, with growth averaging 1.1% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Amortization over five years came in Q3 2026 (growth of 35.0%), and the weakest in Q4 2022 (a decline of 17.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | D&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 706.79 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 710.30 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 510.77 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 412.61 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 647.56 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 446.01 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 83.16 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 | 189.60 Mn |
| 10 | Office Properties Income Trust | 334.79 Mn | 172.56 Mn | - | 57.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.84 Mn |
| Jun 17, 2026 | 54.44 Mn |
| Mar 31, 2026 | 44.08 Mn |
| Dec 31, 2025 | 44.55 Mn |
| Sep 30, 2025 | 42.83 Mn |
| Jun 30, 2025 | 43.84 Mn |
| Mar 31, 2025 | 43.73 Mn |
| Dec 31, 2024 | 47.96 Mn |
| Sep 30, 2024 | 46.05 Mn |
| Jun 30, 2024 | 50.39 Mn |
| Mar 31, 2024 | 50.34 Mn |
| Dec 31, 2023 | 53.70 Mn |
| Sep 30, 2023 | 52.27 Mn |
| Jun 30, 2023 | 51.60 Mn |
| Mar 31, 2023 | 51.69 Mn |
| Dec 31, 2022 | 51.57 Mn |
| Sep 30, 2022 | 52.99 Mn |
| Jun 30, 2022 | 57.54 Mn |
| Mar 31, 2022 | 60.47 Mn |
| Dec 31, 2021 | 62.50 Mn |
Office Properties Income Trust Depreciation and Amortization 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-amortization&ticker=OPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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-amortization&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();