Realty Income (O) Enterprise Value (2009 - 2026)
Realty Income's (O) quarterly Enterprise Value came in at $60.5 billion in Q2 2026, up 16.08% year-over-year from $52.1 billion in Q2 2025, and up 2.88% quarter-over-quarter from $58.8 billion in Q1 2026.
Realty Income (O) Enterprise Value (2009 - 2026) Analysis & Trends
Realty Income has disclosed Enterprise Value across 18 years of filings, most recently posting $60.5 billion for Q2 2026.
- In Q2 2026, Enterprise Value rose 16.08% year-over-year to $60.5 billion; the TTM figure through Jun 2026 stood at $60.5 billion (up 16.08% YoY), while the FY2025 annual figure was $52.9 billion, up 11.64% from the prior year.
- Enterprise Value came in at $60.5 billion for Q2 2026 at Realty Income, up from $58.8 billion in the prior quarter.
- In the past five years, Enterprise Value ranged from a high of $60.5 billion in Q2 2026 to a low of $36.0 billion in Q3 2023.
- Average Enterprise Value over 5 years is $47.4 billion, with a median of $46.2 billion recorded in 2024.
- Year-over-year, Enterprise Value soared 82.27% in 2022 and fell 1.28% in 2023.
- Over 5 years, Enterprise Value stood at $41.8 billion in 2022, then grew by 3.1% to $43.1 billion in 2023, then climbed by 9.84% to $47.4 billion in 2024, then advanced by 11.64% to $52.9 billion in 2025, then advanced by 14.29% to $60.5 billion in 2026.
- Per Business Quant data, the three most recent Enterprise Value figures were $60.5 billion in Q2 2026, $58.8 billion in Q1 2026, and $52.9 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.46 Bn |
| Mar 31, 2026 | 58.76 Bn |
| Dec 31, 2025 | 52.90 Bn |
| Sep 30, 2025 | 55.71 Bn |
| Jun 30, 2025 | 52.08 Bn |
| Mar 31, 2025 | 52.28 Bn |
| Dec 31, 2024 | 47.38 Bn |
| Sep 30, 2024 | 55.32 Bn |
| Jun 30, 2024 | 45.72 Bn |
| Mar 31, 2024 | 46.59 Bn |
| Dec 31, 2023 | 43.14 Bn |
| Sep 30, 2023 | 35.97 Bn |
| Jun 30, 2023 | 42.29 Bn |
| Mar 31, 2023 | 42.59 Bn |
| Dec 31, 2022 | 41.84 Bn |
| Sep 30, 2022 | 36.44 Bn |
| Jun 30, 2022 | 42.06 Bn |
| Mar 31, 2022 | 41.61 Bn |
| Dec 31, 2021 | 29.49 Bn |
| Sep 30, 2021 | 24.92 Bn |
Realty Income Enterprise Value 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=enterprise-value&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();