Realty Income (O) Receivables (2010 - 2026)
Realty Income's (O) quarterly Receivables came in at $1.3 billion in Q2 2026, up 15.03% year-over-year from $1.1 billion in Q2 2025, and little changed quarter-over-quarter from $1.3 billion in Q1 2026.
Realty Income (O) Receivables (2010 - 2026) Analysis & Trends
Realty Income has disclosed Receivables across 17 years of filings, most recently posting $1.3 billion for Q2 2026.
- In Q2 2026, Receivables rose 15.03% year-over-year to $1.3 billion; the TTM figure through Jun 2026 stood at $1.3 billion (up 15.03% YoY), while the FY2025 annual figure was $1.2 billion, up 15.67% from the prior year.
- Receivables came in at $1.3 billion for Q2 2026 at Realty Income, roughly flat from $1.3 billion in the prior quarter.
- In the past five years, Receivables ranged from a high of $1.3 billion in Q1 2026 to a low of $475.3 million in Q1 2022.
- Average Receivables over 5 years is $884.1 million, with a median of $928.1 million recorded in 2024.
- Year-over-year, Receivables surged 57.51% in 2022 and gained 13.64% in 2026.
- Over 5 years, Receivables stood at $561.4 million in 2022, then jumped by 36.01% to $763.5 million in 2023, then increased by 16.81% to $891.9 million in 2024, then climbed by 18.42% to $1.1 billion in 2025, then grew by 24.14% to $1.3 billion in 2026.
- Per Business Quant data, the three most recent Receivables figures were $1.3 billion in Q2 2026, $1.3 billion in Q1 2026, and $1.1 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 3.24 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 934.08 Mn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 1.31 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | - |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 108.05 Mn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 114.68 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 | 99.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.31 Bn |
| Mar 31, 2026 | 1.32 Bn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 891.89 Mn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 964.34 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 763.54 Mn |
| Sep 30, 2023 | 723.67 Mn |
| Jun 30, 2023 | 657.77 Mn |
| Mar 31, 2023 | 646.54 Mn |
| Dec 31, 2022 | 561.39 Mn |
| Sep 30, 2022 | 539.78 Mn |
| Jun 30, 2022 | 501.10 Mn |
| Mar 31, 2022 | 475.33 Mn |
| Dec 31, 2021 | 432.02 Mn |
| Sep 30, 2021 | 342.70 Mn |
Realty Income Receivables 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=receivables&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();