Realty Income (O) Intangibles (2010 - 2026)
Realty Income's (O) quarterly Intangibles came in at $5.6 billion in Q2 2026, down 6.92% year-over-year from $6.0 billion in Q2 2025, and down 0.56% quarter-over-quarter from $5.6 billion in Q1 2026.
Realty Income (O) Intangibles (2010 - 2026) Analysis & Trends
Realty Income has disclosed Intangibles across 17 years of filings, most recently posting $5.6 billion for Q2 2026.
- In Q2 2026, Intangibles fell 6.92% year-over-year to $5.6 billion; the TTM figure through Jun 2026 stood at $5.6 billion (down 6.92% YoY), while the FY2025 annual figure was $5.7 billion, down 9.58% from the prior year.
- Intangibles came in at $5.6 billion for Q2 2026 at Realty Income, down from $5.6 billion in the prior quarter.
- In the past five years, Intangibles ranged from a high of $7.0 billion in Q1 2024 to a low of $5.0 billion in Q4 2023.
- Average Intangibles over 5 years is $5.7 billion, with a median of $5.6 billion recorded in 2026.
- Year-over-year, Intangibles jumped 184.99% in 2022 and dropped 11.66% in 2025.
- Over 5 years, Intangibles stood at $5.2 billion in 2022, then slipped by 2.91% to $5.0 billion in 2023, then grew by 26.01% to $6.3 billion in 2024, then dropped by 9.58% to $5.7 billion in 2025, then dropped by 1.76% to $5.6 billion in 2026.
- Per Business Quant data, the three most recent Intangibles figures were $5.6 billion in Q2 2026, $5.6 billion in Q1 2026, and $5.7 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 3.17 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 | - | 5.62 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | - |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 1.94 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 | - | 566.00 Mn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.62 Bn |
| Mar 31, 2026 | 5.65 Bn |
| Dec 31, 2025 | 5.72 Bn |
| Sep 30, 2025 | 5.86 Bn |
| Jun 30, 2025 | 6.03 Bn |
| Mar 31, 2025 | 6.22 Bn |
| Dec 31, 2024 | 6.32 Bn |
| Sep 30, 2024 | 6.60 Bn |
| Jun 30, 2024 | 6.73 Bn |
| Mar 31, 2024 | 7.04 Bn |
| Dec 31, 2023 | 5.02 Bn |
| Sep 30, 2023 | 5.09 Bn |
| Jun 30, 2023 | 5.24 Bn |
| Mar 31, 2023 | 5.26 Bn |
| Dec 31, 2022 | 5.17 Bn |
| Sep 30, 2022 | 5.06 Bn |
| Jun 30, 2022 | 5.15 Bn |
| Mar 31, 2022 | 5.19 Bn |
| Dec 31, 2021 | 5.28 Bn |
| Sep 30, 2021 | 2.16 Bn |
Realty Income Intangibles 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=intangibles&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();