Restaurant Brands International (QSR) Finished Goods (2013 - 2016)
Restaurant Brands International's Finished Goods was $56.2 million in Q3 2016, down 11.6% from $63.6 million a year earlier but up 3.5% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Finished Goods (2013 - 2016) Analysis & Trends
At the end of FY2015, Finished Goods at Restaurant Brands International came in at $58.6 million, down 18.0% from FY2014.
- In earlier years, Finished Goods was $71.5 million in FY2014 and $1.2 million in FY2013.
- Quarterly Finished Goods has moved between $1.2 million (Q4 2013) and $76.3 million (Q1 2015) over five years.
- Compared with a year earlier, Finished Goods has declined for four straight quarters, with an average decline of 15.7% over the last four quarters.
- Per Business Quant data, QSR's Finished Goods in the three quarters before Q3 2016 was $54.3 million (Q2 2016), $61.8 million (Q1 2016) and $58.6 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 | 56.20 Mn |
| Jun 30, 2016 | 54.30 Mn |
| Mar 31, 2016 | 61.80 Mn |
| Dec 31, 2015 | 58.60 Mn |
| Sep 30, 2015 | 63.60 Mn |
| Jun 30, 2015 | 63.20 Mn |
| Mar 31, 2015 | 76.30 Mn |
| Dec 31, 2014 | 71.50 Mn |
| Dec 31, 2013 | 1.20 Mn |
API Access
Restaurant Brands International Finished Goods 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=finished-goods&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();