Realty Income (O) Price to Earnings (2009 - 2026)
Realty Income's (O) quarterly Price to Earnings came in at 170.45 in Q2 2026, down 36.28% year-over-year from 267.48 in Q2 2025, and down 6.85% quarter-over-quarter from 182.99 in Q1 2026.
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Analysis
Realty Income (O) Price to Earnings (2009 - 2026) Analysis & Trends
Realty Income has disclosed Price to Earnings across 18 years of filings, most recently posting 170.45 for Q2 2026.
- In Q2 2026, Price to Earnings fell 36.28% year-over-year to 170.45; the TTM figure through Jun 2026 stood at 46.25 (down 20.26% YoY), while the FY2025 annual figure was 49.73, down 11.44% from the prior year.
- Price to Earnings came in at 170.45 for Q2 2026 at Realty Income, down from 182.99 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 363.22 in Q1 2024 to a low of 154.84 in Q3 2023.
- Average Price to Earnings over 5 years is 204.63, with a median of 188.89 recorded in 2023.
- Year-over-year, Price to Earnings slumped 97.24% in 2022 and jumped 91.73% in 2024.
- Over 5 years, Price to Earnings stood at 183.43 in 2022, then climbed by 7.85% to 197.83 in 2023, then grew by 20.58% to 238.54 in 2024, then declined by 25.46% to 177.81 in 2025, then decreased by 4.14% to 170.45 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 170.45 in Q2 2026, 182.99 in Q1 2026, and 177.81 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 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 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 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 | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.45 |
| Mar 31, 2026 | 182.99 |
| Dec 31, 2025 | 177.81 |
| Sep 30, 2025 | 177.09 |
| Jun 30, 2025 | 267.48 |
| Mar 31, 2025 | 209.70 |
| Dec 31, 2024 | 238.54 |
| Sep 30, 2024 | 212.03 |
| Jun 30, 2024 | 179.12 |
| Mar 31, 2024 | 363.22 |
| Dec 31, 2023 | 197.83 |
| Sep 30, 2023 | 154.84 |
| Jun 30, 2023 | 216.86 |
| Mar 31, 2023 | 189.44 |
| Dec 31, 2022 | 183.43 |
| Sep 30, 2022 | 165.69 |
| Jun 30, 2022 | 188.34 |
| Mar 31, 2022 | 208.47 |
| Dec 31, 2021 | 6,643.51 |
| Sep 30, 2021 | 187.80 |
API Access
Realty Income Price to Earnings 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=price-to-earnings&ticker=O&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();