Realty Income (O) Price to Book (2009 - 2026)
Realty Income's (O) quarterly Price to Book came in at 1.4 in Q2 2026, up 4.48% year-over-year from 1.34 in Q2 2025, and up 1.05% quarter-over-quarter from 1.38 in Q1 2026.
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Analysis
Realty Income (O) Price to Book (2009 - 2026) Analysis & Trends
Realty Income has disclosed Price to Book across 18 years of filings, most recently posting 1.4 for Q2 2026.
- In Q2 2026, Price to Book rose 4.48% year-over-year to 1.4; the TTM figure through Jun 2026 stood at 1.4 (up 4.48% YoY), while the FY2025 annual figure was 1.31, up 7.61% from the prior year.
- Price to Book came in at 1.4 for Q2 2026 at Realty Income, up from 1.38 in the prior quarter.
- In the past five years, Price to Book ranged from a high of 1.63 in Q1 2022 to a low of 1.14 in Q3 2023.
- Average Price to Book over 5 years is 1.36, with a median of 1.36 recorded in 2022.
- Year-over-year, Price to Book dropped 28.5% in 2022 and advanced 26.35% in 2024.
- Over 5 years, Price to Book stood at 1.45 in 2022, then declined by 10.13% to 1.31 in 2023, then fell by 6.57% to 1.22 in 2024, then increased by 7.61% to 1.31 in 2025, then climbed by 6.55% to 1.4 in 2026.
- Per Business Quant data, the three most recent Price to Book figures were 1.4 in Q2 2026, 1.38 in Q1 2026, and 1.31 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 | 1.40 |
| Mar 31, 2026 | 1.38 |
| Dec 31, 2025 | 1.31 |
| Sep 30, 2025 | 1.42 |
| Jun 30, 2025 | 1.34 |
| Mar 31, 2025 | 1.33 |
| Dec 31, 2024 | 1.22 |
| Sep 30, 2024 | 1.44 |
| Jun 30, 2024 | 1.19 |
| Mar 31, 2024 | 1.20 |
| Dec 31, 2023 | 1.31 |
| Sep 30, 2023 | 1.14 |
| Jun 30, 2023 | 1.35 |
| Mar 31, 2023 | 1.45 |
| Dec 31, 2022 | 1.45 |
| Sep 30, 2022 | 1.36 |
| Jun 30, 2022 | 1.60 |
| Mar 31, 2022 | 1.63 |
| Dec 31, 2021 | 1.18 |
| Sep 30, 2021 | 1.90 |
API Access
Realty Income Price to Book 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-book&ticker=O&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();