Ventas (VTR) Price to Earnings (2009 - 2026)
Ventas' Price to Earnings came in at 173.37 for Q2 2026, up 15.6% from 150.02 a year earlier and up 13.6% from the prior quarter.
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Analysis
Ventas (VTR) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Ventas' Price to Earnings was 146.19, down 53.9% from FY2024.
- Going back by year, Price to Earnings was 317.18 in FY2024 and 416.71 in FY2021 (+896.0%).
- The Q2 2026 figure represents the highest quarterly Price to Earnings since Q1 2025.
- Business Quant data shows VTR's Price to Earnings at 152.65 (Q1 2026), 146.19 (Q4 2025) and 138.05 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - |
| 10 | Essex Property Trust | 17.36 Bn | 17.53 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.37 |
| Mar 31, 2026 | 152.65 |
| Dec 31, 2025 | 146.19 |
| Sep 30, 2025 | 138.05 |
| Jun 30, 2025 | 150.02 |
| Mar 31, 2025 | 217.98 |
| Dec 31, 2024 | 317.18 |
| Sep 30, 2023 | 3,511.98 |
| Jun 30, 2023 | 245.28 |
| Jun 30, 2022 | 1,273.52 |
| Mar 31, 2022 | 170.30 |
| Dec 31, 2021 | 416.71 |
| Sep 30, 2021 | 110.02 |
| Jun 30, 2021 | 142.52 |
| Dec 31, 2020 | 41.84 |
| Sep 30, 2020 | 46.21 |
| Jun 30, 2020 | 33.10 |
| Mar 31, 2020 | 12.81 |
| Dec 31, 2019 | 49.72 |
| Sep 30, 2019 | 56.26 |
API Access
Ventas 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=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "VTR", "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=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();