Realty Income (O) Change in Accured Expenses (2009 - 2026)
Realty Income's Change in Accured Expenses was $130.7 million in Q2 2026, up 17.4% from $111.37 million a year earlier.
Realty Income (O) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realty Income's Change in Accured Expenses was $231.49 million through Jun 30, 2026, up 433.1% year-over-year; for FY2025, it came in at $193.64 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 45.5% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $2.61 million in FY2024 (-99.1%), $285.29 million in FY2023, -$5.29 million in FY2022 and -$24.71 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q3 2009.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2023 (growth of 640.4%); the worst was Q3 2022 (a decline of 88.4%).
- Per Business Quant data, O's Change in Accured Expenses in the three quarters before Q2 2026 was -$39.95 million (Q1 2026), $125 million (Q4 2025) and $15.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.38 Bn | 118.42 Bn | - | 187.04 Mn |
| 3 | Simon Property | 64.69 Bn | 60.54 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.11 Bn | 49.33 Bn | - | 130.70 Mn |
| 5 | Public Storage | 50.26 Bn | 49.25 Bn | - | 144.79 Mn |
| 6 | Ventas | 40.91 Bn | 39.60 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.00 Bn | 28.00 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.79 Bn | 22.91 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | -25.21 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - | 16.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.70 Mn |
| Mar 31, 2026 | -39.95 Mn |
| Dec 31, 2025 | 125.00 Mn |
| Sep 30, 2025 | 15.74 Mn |
| Jun 30, 2025 | 111.37 Mn |
| Mar 31, 2025 | -58.47 Mn |
| Dec 31, 2024 | 39.08 Mn |
| Sep 30, 2024 | -48.55 Mn |
| Jun 30, 2024 | -13.88 Mn |
| Mar 31, 2024 | 25.96 Mn |
| Dec 31, 2023 | 123.77 Mn |
| Sep 30, 2023 | 44.79 Mn |
| Jun 30, 2023 | 78.26 Mn |
| Mar 31, 2023 | 38.48 Mn |
| Dec 31, 2022 | 26.72 Mn |
| Sep 30, 2022 | 2.91 Mn |
| Jun 30, 2022 | 10.57 Mn |
| Mar 31, 2022 | -45.49 Mn |
| Dec 31, 2021 | -63.96 Mn |
| Sep 30, 2021 | 25.11 Mn |
Realty Income Change in Accured Expenses 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=change-in-accured-expenses&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();