Office Properties Income Trust (OPI) Shares Outstanding (Entity) (2009 - 2026)
Office Properties Income Trust (OPI) recorded Shares Outstanding (Entity) of 21.95 million in Q3 2026, down 70.3% from 73.94 million a year earlier and down 69.9% from the prior quarter.
Office Properties Income Trust (OPI) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Office Properties Income Trust reported Shares Outstanding (Entity) of 73.94 million, up 42.7% from FY2024.
- Annual Shares Outstanding (Entity) has increased for seven straight years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 51.81 million in FY2024 (+6.3%), 48.76 million in FY2023 (+0.4%), 48.57 million in FY2022 (+0.3%) and 48.43 million in FY2021 (+0.2%).
- The Q3 2026 figure is the lowest quarterly Shares Outstanding (Entity) since Q4 2009.
- On a year-over-year basis, Shares Outstanding (Entity) rose in six of the last eight quarters, with growth averaging 13.9%.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 47.2% in Q2 2025, against a decline of 70.3% in Q3 2026 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 733.61 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 950.40 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 343.13 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 186.84 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 950.96 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 528.82 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 344.93 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 581.37 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 208.88 Mn |
| 10 | Office Properties Income Trust | 334.79 Mn | 172.56 Mn | - | 21.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.95 Mn |
| Jun 17, 2026 | 72.92 Mn |
| Mar 31, 2026 | 73.94 Mn |
| Dec 31, 2025 | 73.94 Mn |
| Sep 30, 2025 | 73.94 Mn |
| Jun 30, 2025 | 73.98 Mn |
| Mar 31, 2025 | 70.06 Mn |
| Dec 31, 2024 | 51.81 Mn |
| Sep 30, 2024 | 53.91 Mn |
| Jun 30, 2024 | 50.26 Mn |
| Mar 31, 2024 | 48.75 Mn |
| Dec 31, 2023 | 48.76 Mn |
| Sep 30, 2023 | 48.76 Mn |
| Jun 30, 2023 | 48.59 Mn |
| Mar 31, 2023 | 48.56 Mn |
| Dec 31, 2022 | 48.57 Mn |
| Sep 30, 2022 | 48.57 Mn |
| Jun 30, 2022 | 48.46 Mn |
| Mar 31, 2022 | 48.43 Mn |
| Dec 31, 2021 | 48.43 Mn |
Office Properties Income Trust Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=OPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();