Realty Income (O) General and Administrative (2009 - 2026)
Realty Income (O) posted Selling, General & Administrative of $54.32 million for Q3 2026, down 1.3% from $55.04 million a year earlier and down 5.7% from the prior quarter.
Realty Income (O) General and Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Selling, General & Administrative at Realty Income was $224.95 million, up 13.9% year-over-year; for FY2025, it was $202.55 million, up 14.5% from FY2024.
- Annual Selling, General & Administrative has increased for six consecutive years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In prior years, Realty Income's Selling, General & Administrative was $176.9 million in FY2024 (+22.4%), $144.54 million in FY2023 (+4.4%), $138.46 million in FY2022 (+42.8%) and $96.98 million in FY2021 (+32.5%).
- Quarterly Selling, General & Administrative has run from a low of $30.52 million in Q4 2021 to a high of $58.89 million in Q1 2026 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in seven of the last eight quarters, with growth averaging 17.2%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2021, with growth of 83.1%; the weakest was Q3 2026, with a decline of 1.3%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $57.61 million (Q2 2026), $58.89 million (Q1 2026) and $54.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.54 Bn | 26.32 Bn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.32 Mn |
| Jun 30, 2026 | 57.61 Mn |
| Mar 31, 2026 | 58.89 Mn |
| Dec 31, 2025 | 54.14 Mn |
| Sep 30, 2025 | 55.04 Mn |
| Jun 30, 2025 | 49.33 Mn |
| Mar 31, 2025 | 44.04 Mn |
| Dec 31, 2024 | 49.11 Mn |
| Sep 30, 2024 | 41.87 Mn |
| Jun 30, 2024 | 45.07 Mn |
| Mar 31, 2024 | 40.84 Mn |
| Dec 31, 2023 | 38.02 Mn |
| Sep 30, 2023 | 35.53 Mn |
| Jun 30, 2023 | 36.83 Mn |
| Mar 31, 2023 | 34.17 Mn |
| Dec 31, 2022 | 37.53 Mn |
| Sep 30, 2022 | 34.10 Mn |
| Jun 30, 2022 | 34.14 Mn |
| Mar 31, 2022 | 32.70 Mn |
| Dec 31, 2021 | 30.52 Mn |
Realty Income General and Administrative 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=general-and-administrative&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();