Restaurant Brands International (QSR) Finished Goods (2013 - 2016)
Restaurant Brands International's (QSR) quarterly Finished Goods came in at $56.2 million in Q3 2016, down 11.64% year-over-year from $63.6 million in Q4 2015, and up 3.5% quarter-over-quarter from $54.3 million in Q2 2016.
Restaurant Brands International (QSR) Finished Goods (2013 - 2016) Analysis & Trends
Restaurant Brands International (QSR) has reported Finished Goods for 4 consecutive years, with $56.2 million the latest figure, recorded in Q3 2016.
- On a quarterly basis, Finished Goods fell 11.64% year-over-year to $56.2 million in Q3 2016; TTM through Sep 2016 was $56.2 million, a 11.64% decrease from a year earlier, with the FY2015 full-year figure at $58.6 million, down 18.04% from the prior year.
- Finished Goods was $56.2 million for Q3 2016 at Restaurant Brands International, up from $54.3 million in the prior quarter.
- Over five years, Finished Goods peaked at $76.3 million in Q1 2015 and troughed at $1.2 million in Q4 2013.
- A 4-year average of $56.3 million and a median of $61.8 million in 2016 frame the typical range for Finished Goods.
- Across the five-year window, Finished Goods jumped 5858.33% in 2014 and dropped 19.0% in 2016, its largest moves.
- Over 4 years, Finished Goods stood at $1.2 million in 2013, then jumped by 5858.33% to $71.5 million in 2014, then fell by 18.04% to $58.6 million in 2015, then slipped by 4.1% to $56.2 million in 2016.
- The last three Finished Goods figures came in at $56.2 million (Q3 2016), $54.3 million (Q2 2016), and $61.8 million (Q1 2016), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
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 |
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_KEY
import 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();