Restaurant Brands International Limited Partnership (RSTRF) Finished Goods (2013 - 2016)
Restaurant Brands International Limited Partnership's (RSTRF) 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 Limited Partnership (RSTRF) Finished Goods (2013 - 2016) Analysis & Trends
Restaurant Brands International Limited Partnership (RSTRF) 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 Limited Partnership, 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 Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();