Realty Income (O) Shares Outstanding (Diluted) (2009 - 2026)
Realty Income's Shares Outstanding (Diluted) was 934.66 million in Q2 2026, up 3.4% from 903.72 million a year earlier and unchanged from the prior quarter.
Realty Income (O) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Realty Income came in at 908.33 million, up 5.2% from FY2024.
- Shares Outstanding (Diluted) has now increased for 16 consecutive years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 863.79 million in FY2024 (+24.6%), 693.02 million in FY2023 (+13.2%), 612.18 million in FY2022 (+47.6%) and 414.77 million in FY2021 (+20.1%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 65 straight quarters, with growth averaging 9.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 3.4% in Q2 2026 to 60.8% in Q2 2022.
- Per Business Quant data, O's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 934.45 million (Q1 2026), 908.33 million (Q4 2025) and 915.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 Bn | 737.96 Mn |
| 2 | Prologis | 123.38 Bn | 118.42 Bn | - | 957.88 Mn |
| 3 | Simon Property | 64.69 Bn | 60.54 Bn | - | 324.96 Mn |
| 4 | Realty Income | 51.11 Bn | 49.33 Bn | - | 934.66 Mn |
| 5 | Public Storage | 50.26 Bn | 49.25 Bn | - | 176.51 Mn |
| 6 | Ventas | 40.91 Bn | 39.60 Bn | - | 497.72 Mn |
| 7 | Extra Space Storage | 28.00 Bn | 28.00 Bn | 642.43 Mn | 220.36 Mn |
| 8 | Vici Properties | 24.79 Bn | 22.91 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 383.88 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - | 64.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 934.66 Mn |
| Mar 31, 2026 | 934.45 Mn |
| Dec 31, 2025 | 908.33 Mn |
| Sep 30, 2025 | 915.19 Mn |
| Jun 30, 2025 | 903.72 Mn |
| Mar 31, 2025 | 892.35 Mn |
| Dec 31, 2024 | 863.79 Mn |
| Sep 30, 2024 | 872.05 Mn |
| Jun 30, 2024 | 870.73 Mn |
| Mar 31, 2024 | 835.24 Mn |
| Dec 31, 2023 | 693.02 Mn |
| Sep 30, 2023 | 709.54 Mn |
| Jun 30, 2023 | 674.59 Mn |
| Mar 31, 2023 | 661.24 Mn |
| Dec 31, 2022 | 612.18 Mn |
| Sep 30, 2022 | 617.96 Mn |
| Jun 30, 2022 | 602.03 Mn |
| Mar 31, 2022 | 594.04 Mn |
| Dec 31, 2021 | 414.77 Mn |
| Sep 30, 2021 | 392.05 Mn |
Realty Income 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=shares-outstanding-diluted&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "O", "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-diluted&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();