Fair Isaac (FICO) FCF Payout Ratio (2009 - 2017)
Fair Isaac's (FICO) FCF Payout Ratio stood at 0.01 in FY2017 (year ended Sep 30, 2017), down 54.5% from 0.01 in FY2016.
Analysis
Fair Isaac (FICO) FCF Payout Ratio (2009 - 2017) Analysis & Trends
Starting with FY2009, Fair Isaac's FCF Payout Ratio history includes 9 fiscal years.
- The FY2017 figure is the lowest annual FCF Payout Ratio in data going back to FY2009.
- Per Business Quant data, FICO's FCF Payout Ratio was 0.01 in FY2016 (-35.8%), 0.02 in FY2015 (+23.3%), 0.02 in FY2014 (-33.8%) and 0.03 in FY2013 (-6.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | - |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | - |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 0.01 |
| Dec 31, 2016 | 0.02 |
| Sep 30, 2016 | 0.03 |
| Jun 30, 2016 | 0.01 |
| Mar 31, 2016 | 0.02 |
| Dec 31, 2015 | 0.01 |
| Sep 30, 2015 | 0.01 |
| Jun 30, 2015 | 0.02 |
| Mar 31, 2015 | 0.02 |
| Sep 30, 2014 | 0.01 |
| Jun 30, 2014 | 0.03 |
| Mar 31, 2014 | 0.02 |
| Dec 31, 2013 | 0.03 |
| Sep 30, 2013 | 0.02 |
| Jun 30, 2013 | 0.03 |
| Mar 31, 2013 | 0.02 |
| Dec 31, 2012 | 0.04 |
| Sep 30, 2012 | 0.04 |
| Jun 30, 2012 | 0.04 |
| Mar 31, 2012 | 0.02 |
API Access
Fair Isaac FCF Payout Ratio 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=fcf-payout-ratio&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "ticker": "FICO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=fcf-payout-ratio&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();