Restaurant Brands International Limited Partnership (RSTRF) FCF Payout Ratio (2014 - 2016)
Restaurant Brands International Limited Partnership's (RSTRF) FCF Payout Ratio was 0.33 for Q3 2016, up 22.3% from 0.27 a year earlier but down 20.3% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) FCF Payout Ratio (2014 - 2016) Analysis & Trends
Over the twelve months ended Sep 30, 2016, Restaurant Brands International Limited Partnership's FCF Payout Ratio came in at 0.45, up 72.0% year-over-year; for FY2014, it was 0.48, up 107.0% from FY2013.
- By year, FCF Payout Ratio came in at 0.23 in FY2013 (+328.0%) and 0.05 in FY2012.
- Five-year quarterly FCF Payout Ratio spans a low of 0.18 in Q3 2014 and a high of 0.73 in Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 0.69 |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 0.51 |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 0.34 |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 0.60 |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 0.33 |
| Jun 30, 2016 | 0.42 |
| Mar 31, 2016 | 0.73 |
| Sep 30, 2015 | 0.27 |
| Sep 30, 2014 | 0.18 |
| Jun 30, 2014 | 0.29 |
| Mar 31, 2014 | 0.20 |
API Access
Restaurant Brands International Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "ticker": "RSTRF", "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=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();