Office Properties Income Trust (OPI) Amortizatization of Intangibles (2010 - 2025)
Office Properties Income Trust (OPI) recorded Amortizatization of Intangibles of $10.56 million in Q2 2025, down 37.1% from $16.78 million a year earlier and down 7.8% from the prior quarter.
Office Properties Income Trust (OPI) Amortizatization of Intangibles (2010 - 2025) Analysis & Trends
On a TTM basis, Office Properties Income Trust's Amortizatization of Intangibles came in at $52.2 million as of Jun 30, 2025, down 33.6% year-over-year; for FY2024, it was $64.64 million, down 30.4% from FY2023.
- Annual Amortizatization of Intangibles has declined for five straight years, with a five-year compound annual growth rate of -20.1% (FY2019 to FY2024).
- Across earlier years, Amortizatization of Intangibles came in at $92.81 million in FY2023 (-22.5%), $119.7 million in FY2022 (-17.3%), $144.83 million in FY2021 (-13.4%) and $167.19 million in FY2020 (-15.6%).
- The Q2 2025 figure is the lowest quarterly Amortizatization of Intangibles since Q3 2017.
- On a year-over-year basis, Amortizatization of Intangibles has declined for 22 consecutive quarters, with an average decline of 28.7% over the last eight quarters.
- The year-over-year decline in Amortizatization of Intangibles has ranged between 0.2% (Q4 2020) and 37.1% (Q2 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $11.45 million (Q1 2025), $15.58 million (Q4 2024) and $14.61 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 11.09 Mn |
| 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 | - | - |
| 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 | - |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 10.56 Mn |
| Mar 31, 2025 | 11.45 Mn |
| Dec 31, 2024 | 15.58 Mn |
| Sep 30, 2024 | 14.61 Mn |
| Jun 30, 2024 | 16.78 Mn |
| Mar 31, 2024 | 17.67 Mn |
| Dec 31, 2023 | 21.47 Mn |
| Sep 30, 2023 | 22.75 Mn |
| Jun 30, 2023 | 23.97 Mn |
| Mar 31, 2023 | 24.61 Mn |
| Dec 31, 2022 | 26.25 Mn |
| Sep 30, 2022 | 27.77 Mn |
| Jun 30, 2022 | 31.61 Mn |
| Mar 31, 2022 | 34.08 Mn |
| Dec 31, 2021 | 36.36 Mn |
| Sep 30, 2021 | 34.17 Mn |
| Jun 30, 2021 | 32.73 Mn |
| Mar 31, 2021 | 41.58 Mn |
| Dec 31, 2020 | 40.78 Mn |
| Sep 30, 2020 | 40.68 Mn |
Office Properties Income Trust Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=OPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();