Getty Realty (GTY) EV to FCF (2009 - 2019)
Getty Realty's EV to FCF was 43.38 in Q3 2019, down 51.4% from the prior quarter.
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Analysis
Getty Realty (GTY) EV to FCF (2009 - 2019) Analysis & Trends
For FY2016, EV to FCF at Getty Realty came in at 30.34.
- In earlier years, EV to FCF was 50.46 in FY2014 and 49.95 in FY2012.
- The Q3 2019 figure marks the lowest quarterly EV to FCF since Q1 2017.
- The best year-over-year quarter for EV to FCF over five years was Q2 2017 (growth of 272.4%); the worst was Q1 2016 (a decline of 76.9%).
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 | Getty Realty | 1.92 Bn | 1.90 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 42.20 |
| Jun 30, 2019 | 89.34 |
| Jun 30, 2017 | 64.60 |
| Mar 31, 2017 | 32.99 |
| Dec 31, 2016 | 30.34 |
| Sep 30, 2016 | 17.97 |
| Jun 30, 2016 | 17.35 |
| Mar 31, 2016 | 13.42 |
| Dec 31, 2015 | 12.27 |
| Sep 30, 2015 | 18.43 |
| Jun 30, 2015 | 21.80 |
| Mar 31, 2015 | 58.06 |
| Dec 31, 2014 | 50.46 |
| Sep 30, 2014 | 26.97 |
| Jun 30, 2014 | 12.57 |
| Mar 31, 2013 | 61.92 |
| Dec 31, 2012 | 49.95 |
| Sep 30, 2012 | 6.83 |
| Jun 30, 2012 | 6.21 |
| Mar 31, 2012 | 4.32 |
API Access
Getty Realty EV 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=ev-to-fcf&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "GTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();