Restaurant Brands International (QSR) Raw Materials (2014 - 2016)
Restaurant Brands International (QSR) reported Raw Materials of $29 million for Q3 2016, down 17.6% from $35.2 million a year earlier and down 10.5% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Raw Materials (2014 - 2016) Analysis & Trends
At the end of FY2015, Restaurant Brands International posted Raw Materials of $22.7 million, down 13.7% from FY2014.
- By year, Raw Materials came in at $26.3 million in FY2014.
- Five-year quarterly Raw Materials spans a low of $22 million in Q1 2015 and a high of $35.2 million in Q3 2015.
- Year over year, Raw Materials gained in two of the last four quarters, with growth averaging 1.3%.
- Per Business Quant data, the three quarters before Q3 2016 came in at $32.4 million (Q2 2016), $27 million (Q1 2016) and $22.7 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 29.00 Mn |
| Jun 30, 2016 | 32.40 Mn |
| Mar 31, 2016 | 27.00 Mn |
| Dec 31, 2015 | 22.70 Mn |
| Sep 30, 2015 | 35.20 Mn |
| Jun 30, 2015 | 28.50 Mn |
| Mar 31, 2015 | 22.00 Mn |
| Dec 31, 2014 | 26.30 Mn |
API Access
Restaurant Brands International Raw Materials 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=raw-materials&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "ticker": "QSR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=raw-materials&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();