Office Properties Income Trust (OPI) Weighted Average Shares Outstanding (Diluted) (2010 - 2026)
Office Properties Income Trust's Weighted Average Shares Outstanding (Diluted) came in at 21.95 million for Q3 2026, down 70.1% from 73.48 million a year earlier and down 69.9% from the prior quarter.
Office Properties Income Trust (OPI) Weighted Average Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Office Properties Income Trust's Weighted Average Shares Outstanding (Diluted) was 71.92 million, up 38.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last seven years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 51.81 million in FY2024 (+7.1%), 48.39 million in FY2023 (+0.2%), 48.28 million in FY2022 (+0.2%) and 48.2 million in FY2021 (+0.1%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2010.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 14.7%.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q2 2025 (growth of 46.5%), and the weakest in Q3 2026 (a decline of 70.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Office Properties Income Trust | 334.79 Mn | 172.56 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.95 Mn |
| Jun 17, 2026 | 72.92 Mn |
| Mar 31, 2026 | 73.58 Mn |
| Dec 31, 2025 | 71.92 Mn |
| Sep 30, 2025 | 73.48 Mn |
| Jun 30, 2025 | 71.28 Mn |
| Mar 31, 2025 | 69.26 Mn |
| Dec 31, 2024 | 51.81 Mn |
| Sep 30, 2024 | 51.20 Mn |
| Jun 30, 2024 | 48.65 Mn |
| Mar 31, 2024 | 48.47 Mn |
| Dec 31, 2023 | 48.39 Mn |
| Sep 30, 2023 | 48.40 Mn |
| Jun 30, 2023 | 48.35 Mn |
| Mar 31, 2023 | 48.34 Mn |
| Dec 31, 2022 | 48.28 Mn |
| Sep 30, 2022 | 48.29 Mn |
| Jun 30, 2022 | 48.25 Mn |
| Mar 31, 2022 | 48.24 Mn |
| Dec 31, 2021 | 48.20 Mn |
Office Properties Income Trust Weighted Average Shares Outstanding (Diluted) 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=weighted-average-shares-outstanding-diluted&ticker=OPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "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=weighted-average-shares-outstanding-diluted&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();