Restaurant Brands International (QSR) Accumulated Expenses (2013 - 2017)
Restaurant Brands International (QSR) recorded Accumulated Expenses of $608.6 million in Q3 2015, up 23.6% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Accumulated Expenses (2013 - 2017) Analysis & Trends
At the end of FY2014, Restaurant Brands International reported Accumulated Expenses of $335.6 million, up 116.5% from FY2013.
- Across earlier years, Accumulated Expenses came in at $155 million in FY2013.
- Per Business Quant, the preceding three quarters came in at $492.4 million (Q2 2015), $465 million (Q1 2015) and $335.6 million (Q4 2014).
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 |
|---|---|
| Mar 31, 2017 | 81.80 Mn |
| Dec 31, 2016 | 63.30 Mn |
| Sep 30, 2016 | 82.60 Mn |
| Jun 30, 2016 | 62.90 Mn |
| Mar 31, 2016 | 82.90 Mn |
| Dec 31, 2015 | 63.10 Mn |
| Sep 30, 2015 | 608.60 Mn |
| Jun 30, 2015 | 492.40 Mn |
| Mar 31, 2015 | 465.00 Mn |
| Dec 31, 2014 | 36.30 Mn |
| Dec 31, 2013 | 155.00 Mn |
API Access
Restaurant Brands International Accumulated Expenses 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=accumulated-expenses&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();