Ventas (VTR) Price to FCF (2009 - 2024)
Ventas' (VTR) Price to FCF was 715.42 for Q3 2024, compared with 32.37 a year earlier and up 400.5% from the prior quarter.
Analysis
Ventas (VTR) Price to FCF (2009 - 2024) Analysis & Trends
For FY2023, Price to FCF at Ventas was 42.63, down 48.0% from FY2022.
- By year, Price to FCF came in at 82.05 in FY2022 and 21.80 in FY2020.
- The Q3 2024 figure ranks as the highest quarterly Price to FCF since Q2 2013.
- Year over year, Price to FCF gained in two of the last four quarters, with growth averaging 44.8%.
- Per Business Quant data, the three quarters before Q3 2024 came in at 142.95 (Q2 2024), 40.34 (Q1 2024) and 42.63 (Q4 2023).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 715.42 |
| Jun 30, 2024 | 142.95 |
| Mar 31, 2024 | 40.34 |
| Dec 31, 2023 | 42.63 |
| Sep 30, 2023 | 32.37 |
| Jun 30, 2023 | 35.03 |
| Mar 31, 2023 | 35.16 |
| Dec 31, 2022 | 82.05 |
| Sep 30, 2022 | 703.87 |
| Jun 30, 2021 | 28.65 |
| Mar 31, 2021 | 22.79 |
| Dec 31, 2020 | 21.80 |
| Sep 30, 2020 | 20.22 |
| Jun 30, 2019 | 50.83 |
| Mar 31, 2019 | 32.57 |
| Dec 31, 2018 | 32.01 |
| Sep 30, 2018 | 34.07 |
| Jun 30, 2018 | 32.06 |
| Mar 31, 2018 | 30.28 |
| Dec 31, 2017 | 64.30 |
API Access
Ventas Price to FCF 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-fcf&ticker=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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-fcf&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();