Realty Income (O) Buildings (2009 - 2026)
Realty Income's (O) quarterly Buildings came in at $45.7 billion in Q2 2026, up 6.98% year-over-year from $42.7 billion in Q2 2025, and up 2.72% quarter-over-quarter from $44.5 billion in Q1 2026.
Realty Income (O) Buildings (2009 - 2026) Analysis & Trends
Realty Income has disclosed Buildings across 18 years of filings, most recently posting $45.7 billion for Q2 2026.
- In Q2 2026, Buildings rose 6.98% year-over-year to $45.7 billion; the TTM figure through Jun 2026 stood at $45.7 billion (up 6.98% YoY), while the FY2025 annual figure was $43.8 billion, up 6.96% from the prior year.
- Buildings came in at $45.7 billion for Q2 2026 at Realty Income, up from $44.5 billion in the prior quarter.
- In the past five years, Buildings ranged from a high of $45.7 billion in Q2 2026 to a low of $25.6 billion in Q1 2022.
- Average Buildings over 5 years is $36.8 billion, with a median of $39.8 billion recorded in 2024.
- Year-over-year, Buildings soared 69.06% in 2022 and climbed 5.09% in 2025.
- Over 5 years, Buildings stood at $29.7 billion in 2022, then climbed by 16.66% to $34.7 billion in 2023, then increased by 18.23% to $41.0 billion in 2024, then grew by 6.96% to $43.8 billion in 2025, then rose by 4.22% to $45.7 billion in 2026.
- Per Business Quant data, the three most recent Buildings figures were $45.7 billion in Q2 2026, $44.5 billion in Q1 2026, and $43.8 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 | 45.67 Bn |
| Mar 31, 2026 | 44.46 Bn |
| Dec 31, 2025 | 43.82 Bn |
| Sep 30, 2025 | 42.92 Bn |
| Jun 30, 2025 | 42.69 Bn |
| Mar 31, 2025 | 41.69 Bn |
| Dec 31, 2024 | 40.97 Bn |
| Sep 30, 2024 | 40.61 Bn |
| Jun 30, 2024 | 39.90 Bn |
| Mar 31, 2024 | 39.67 Bn |
| Dec 31, 2023 | 34.66 Bn |
| Sep 30, 2023 | 33.61 Bn |
| Jun 30, 2023 | 32.65 Bn |
| Mar 31, 2023 | 30.80 Bn |
| Dec 31, 2022 | 29.71 Bn |
| Sep 30, 2022 | 26.98 Bn |
| Jun 30, 2022 | 26.10 Bn |
| Mar 31, 2022 | 25.65 Bn |
| Dec 31, 2021 | 25.16 Bn |
| Sep 30, 2021 | 16.37 Bn |
Realty Income Buildings 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=buildings&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();