Realty Income (O) Real Estate - Net (2009 - 2026)
Realty Income's (O) quarterly Real Estate - Net came in at $55.1 billion in Q2 2026, up 4.78% year-over-year from $52.6 billion in Q2 2025, and up 2.06% quarter-over-quarter from $54.0 billion in Q1 2026.
Realty Income (O) Real Estate - Net (2009 - 2026) Analysis & Trends
Realty Income has disclosed Real Estate - Net across 18 years of filings, most recently posting $55.1 billion for Q2 2026.
- In Q2 2026, Real Estate - Net rose 4.78% year-over-year to $55.1 billion; the TTM figure through Jun 2026 stood at $55.1 billion (up 4.78% YoY), while the FY2025 annual figure was $53.4 billion, up 4.91% from the prior year.
- Real Estate - Net came in at $55.1 billion for Q2 2026 at Realty Income, up from $54.0 billion in the prior quarter.
- In the past five years, Real Estate - Net ranged from a high of $55.1 billion in Q2 2026 to a low of $32.6 billion in Q1 2022.
- Average Real Estate - Net over 5 years is $45.8 billion, with a median of $50.0 billion recorded in 2024.
- Year-over-year, Real Estate - Net jumped 79.57% in 2022 and increased 3.17% in 2025.
- Over 5 years, Real Estate - Net stood at $37.8 billion in 2022, then advanced by 15.26% to $43.5 billion in 2023, then rose by 17.01% to $50.9 billion in 2024, then gained by 4.91% to $53.4 billion in 2025, then rose by 3.18% to $55.1 billion in 2026.
- Per Business Quant data, the three most recent Real Estate - Net figures were $55.1 billion in Q2 2026, $54.0 billion in Q1 2026, and $53.4 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 | 55.11 Bn |
| Mar 31, 2026 | 54.00 Bn |
| Dec 31, 2025 | 53.41 Bn |
| Sep 30, 2025 | 52.59 Bn |
| Jun 30, 2025 | 52.60 Bn |
| Mar 31, 2025 | 51.66 Bn |
| Dec 31, 2024 | 50.91 Bn |
| Sep 30, 2024 | 50.68 Bn |
| Jun 30, 2024 | 49.96 Bn |
| Mar 31, 2024 | 50.07 Bn |
| Dec 31, 2023 | 43.51 Bn |
| Sep 30, 2023 | 42.23 Bn |
| Jun 30, 2023 | 41.18 Bn |
| Mar 31, 2023 | 38.94 Bn |
| Dec 31, 2022 | 37.75 Bn |
| Sep 30, 2022 | 34.21 Bn |
| Jun 30, 2022 | 33.32 Bn |
| Mar 31, 2022 | 32.64 Bn |
| Dec 31, 2021 | 31.96 Bn |
| Sep 30, 2021 | 19.78 Bn |
Realty Income Real Estate - Net 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=real-estate-net&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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=real-estate-net&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();