Realty Income (O) Payables (2009 - 2026)
Realty Income's (O) quarterly Payables came in at $2.8 billion in Q2 2026, up 113.55% year-over-year from $1.3 billion in Q2 2025, and up 71.21% quarter-over-quarter from $1.6 billion in Q1 2026.
Realty Income (O) Payables (2009 - 2026) Analysis & Trends
Realty Income has disclosed Payables across 18 years of filings, most recently posting $2.8 billion for Q2 2026.
- In Q2 2026, Payables rose 113.55% year-over-year to $2.8 billion; the TTM figure through Jun 2026 stood at $2.8 billion (up 113.55% YoY), while the FY2025 annual figure was $1.8 billion, up 72.15% from the prior year.
- Payables came in at $2.8 billion for Q2 2026 at Realty Income, up from $1.6 billion in the prior quarter.
- In the past five years, Payables ranged from a high of $2.8 billion in Q2 2026 to a low of $753.1 million in Q1 2023.
- Average Payables over 5 years is $1.4 billion, with a median of $1.3 billion recorded in 2025.
- Year-over-year, Payables sank 46.4% in 2023 and soared 113.55% in 2026.
- Over 5 years, Payables stood at $1.3 billion in 2022, then soared by 34.07% to $1.7 billion in 2023, then plunged by 37.3% to $1.1 billion in 2024, then soared by 72.15% to $1.8 billion in 2025, then surged by 51.58% to $2.8 billion in 2026.
- Per Business Quant data, the three most recent Payables figures were $2.8 billion in Q2 2026, $1.6 billion in Q1 2026, and $1.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | - |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 2.53 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 1.96 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 2.78 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 10.18 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 1.35 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 445.14 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 500.76 Mn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 1.89 Bn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 325.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Bn |
| Mar 31, 2026 | 1.62 Bn |
| Dec 31, 2025 | 1.83 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.39 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Mar 31, 2024 | 1.24 Bn |
| Dec 31, 2023 | 1.70 Bn |
| Sep 30, 2023 | 1.22 Bn |
| Jun 30, 2023 | 864.94 Mn |
| Mar 31, 2023 | 753.09 Mn |
| Dec 31, 2022 | 1.27 Bn |
| Sep 30, 2022 | 1.29 Bn |
| Jun 30, 2022 | 1.46 Bn |
| Mar 31, 2022 | 1.41 Bn |
| Dec 31, 2021 | 1.40 Bn |
| Sep 30, 2021 | 770.87 Mn |
Realty Income Payables 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=payables&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();