Realty Income (O) Revenue (2009 - 2026)
Realty Income's (O) quarterly Revenue came in at $1.5 billion in Q2 2026, up 9.74% year-over-year from $1.4 billion in Q2 2025, and little changed quarter-over-quarter from $1.5 billion in Q1 2026.
Realty Income (O) Revenue (2009 - 2026) Analysis & Trends
Realty Income has disclosed Revenue across 18 years of filings, most recently posting $1.5 billion for Q2 2026.
- In Q2 2026, Revenue rose 9.74% year-over-year to $1.5 billion; the TTM figure through Jun 2026 stood at $6.1 billion (up 10.85% YoY), while the FY2025 annual figure was $5.7 billion, up 9.07% from the prior year.
- Revenue came in at $1.5 billion for Q2 2026 at Realty Income, roughly flat from $1.5 billion in the prior quarter.
- In the past five years, Revenue ranged from a high of $1.5 billion in Q1 2026 to a low of $807.3 million in Q1 2022.
- Average Revenue over 5 years is $1.2 billion, with a median of $1.3 billion recorded in 2024.
- Year-over-year, Revenue jumped 82.55% in 2022 and rose 5.3% in 2025.
- Over 5 years, Revenue stood at $888.7 million in 2022, then grew by 21.11% to $1.1 billion in 2023, then advanced by 24.53% to $1.3 billion in 2024, then rose by 11.02% to $1.5 billion in 2025, then increased by 4.02% to $1.5 billion in 2026.
- Per Business Quant data, the three most recent Revenue figures were $1.5 billion in Q2 2026, $1.5 billion in Q1 2026, and $1.5 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 3.54 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 2.43 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 1.79 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 1.55 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 1.23 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 874.15 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 747.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.55 Bn |
| Mar 31, 2026 | 1.55 Bn |
| Dec 31, 2025 | 1.49 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.41 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.34 Bn |
| Sep 30, 2024 | 1.33 Bn |
| Jun 30, 2024 | 1.34 Bn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.04 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 944.40 Mn |
| Dec 31, 2022 | 888.67 Mn |
| Sep 30, 2022 | 837.27 Mn |
| Jun 30, 2022 | 810.42 Mn |
| Mar 31, 2022 | 807.34 Mn |
| Dec 31, 2021 | 685.06 Mn |
| Sep 30, 2021 | 489.89 Mn |
Realty Income Revenue 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=revenue&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();