Future FinTech (FTFT) EV to CFO (2011 - 2019)
Future FinTech's (FTFT) EV to CFO came in at 74.12 for Q2 2019, compared with 2.40 a year earlier.
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Analysis
Future FinTech (FTFT) EV to CFO (2011 - 2019) Analysis & Trends
For the trailing twelve months through Jun 30, 2019, EV to CFO at Future FinTech was 72.65; for FY2017, it came in at 1.61.
- In prior years, Future FinTech's EV to CFO was 0.98 in FY2015 (-27.5%), 1.36 in FY2014 and -0.47 in FY2013.
- The Q2 2019 figure stands as the highest quarterly EV to CFO in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - |
| 10 | Future FinTech | 1.44 Mn | -11.12 Mn | 193,832.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 74.12 |
| Sep 30, 2018 | 2.15 |
| Jun 30, 2018 | 2.40 |
| Mar 31, 2018 | 1.45 |
| Dec 31, 2017 | 1.61 |
| Sep 30, 2016 | 0.26 |
| Jun 30, 2016 | -0.67 |
| Mar 31, 2016 | -0.37 |
| Dec 31, 2015 | 0.98 |
| Sep 30, 2015 | -1.12 |
| Jun 30, 2015 | -1.04 |
| Dec 31, 2014 | 1.36 |
| Sep 30, 2014 | -0.21 |
| Jun 30, 2014 | -2.22 |
| Mar 31, 2014 | -0.69 |
| Dec 31, 2013 | -0.47 |
| Sep 30, 2013 | 1.72 |
| Jun 30, 2013 | 2.20 |
| Mar 31, 2013 | -1.25 |
| Dec 31, 2012 | -0.85 |
API Access
Future FinTech EV to CFO 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-cfo&ticker=FTFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "FTFT", "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-cfo&ticker=FTFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();