Getty Realty (GTY) Price to FCF (2009 - 2019)
Getty Realty's Price to FCF was 43.38 in Q3 2019, down 52.4% from the prior quarter.
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Analysis
Getty Realty (GTY) Price to FCF (2009 - 2019) Analysis & Trends
For FY2016, Price to FCF at Getty Realty came in at 30.78.
- In earlier years, Price to FCF was 50.71 in FY2014 and 51.39 in FY2012.
- The Q3 2019 figure marks the lowest quarterly Price to FCF since Q1 2017.
- The best year-over-year quarter for Price to FCF over five years was Q2 2017 (growth of 275.1%); 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 | 43.38 |
| Jun 30, 2019 | 91.18 |
| Jun 30, 2017 | 65.69 |
| Mar 31, 2017 | 33.68 |
| Dec 31, 2016 | 30.78 |
| Sep 30, 2016 | 18.20 |
| Jun 30, 2016 | 17.51 |
| Mar 31, 2016 | 13.58 |
| Dec 31, 2015 | 12.36 |
| Sep 30, 2015 | 18.56 |
| Jun 30, 2015 | 22.20 |
| Mar 31, 2015 | 58.70 |
| Dec 31, 2014 | 50.71 |
| Sep 30, 2014 | 27.37 |
| Jun 30, 2014 | 12.72 |
| Mar 31, 2013 | 63.69 |
| Dec 31, 2012 | 51.39 |
| Sep 30, 2012 | 7.02 |
| Jun 30, 2012 | 6.39 |
| Mar 31, 2012 | 4.45 |
API Access
Getty Realty 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=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();