Realty Income (O) Assets (2009 - 2026)
Realty Income's (O) quarterly Assets came in at $76.4 billion in Q2 2026, up 7.02% year-over-year from $71.4 billion in Q2 2025, and up 2.53% quarter-over-quarter from $74.6 billion in Q1 2026.
Realty Income (O) Assets (2009 - 2026) Analysis & Trends
Realty Income has disclosed Assets across 18 years of filings, most recently posting $76.4 billion for Q2 2026.
- In Q2 2026, Assets rose 7.02% year-over-year to $76.4 billion; the TTM figure through Jun 2026 stood at $76.4 billion (up 7.02% YoY), while the FY2025 annual figure was $72.8 billion, up 5.75% from the prior year.
- Assets came in at $76.4 billion for Q2 2026 at Realty Income, up from $74.6 billion in the prior quarter.
- In the past five years, Assets ranged from a high of $76.4 billion in Q2 2026 to a low of $44.1 billion in Q1 2022.
- Average Assets over 5 years is $61.8 billion, with a median of $68.2 billion recorded in 2024.
- Year-over-year, Assets surged 110.02% in 2022 and climbed 2.09% in 2025.
- Over 5 years, Assets stood at $49.7 billion in 2022, then increased by 16.32% to $57.8 billion in 2023, then gained by 19.13% to $68.8 billion in 2024, then advanced by 5.75% to $72.8 billion in 2025, then rose by 5.01% to $76.4 billion in 2026.
- Per Business Quant data, the three most recent Assets figures were $76.4 billion in Q2 2026, $74.6 billion in Q1 2026, and $72.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 69.88 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 101.01 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 40.61 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 76.44 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 20.12 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 29.66 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 29.66 Bn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 48.27 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 20.28 Bn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 18.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.44 Bn |
| Mar 31, 2026 | 74.55 Bn |
| Dec 31, 2025 | 72.80 Bn |
| Sep 30, 2025 | 71.28 Bn |
| Jun 30, 2025 | 71.42 Bn |
| Mar 31, 2025 | 69.76 Bn |
| Dec 31, 2024 | 68.84 Bn |
| Sep 30, 2024 | 68.47 Bn |
| Jun 30, 2024 | 68.06 Bn |
| Mar 31, 2024 | 68.33 Bn |
| Dec 31, 2023 | 57.78 Bn |
| Sep 30, 2023 | 55.34 Bn |
| Jun 30, 2023 | 53.98 Bn |
| Mar 31, 2023 | 51.10 Bn |
| Dec 31, 2022 | 49.67 Bn |
| Sep 30, 2022 | 45.89 Bn |
| Jun 30, 2022 | 44.95 Bn |
| Mar 31, 2022 | 44.06 Bn |
| Dec 31, 2021 | 43.14 Bn |
| Sep 30, 2021 | 23.71 Bn |
Realty Income Assets 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=assets&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();