Restaurant Brands International (QSR) Accumulated Expenses (2013 - 2017)
Restaurant Brands International's (QSR) quarterly Accumulated Expenses came in at $81.8 million in Q1 2017, down 1.33% year-over-year from $82.9 million in Q1 2016, and up 29.23% quarter-over-quarter from $63.3 million in Q4 2016.
Restaurant Brands International (QSR) Accumulated Expenses (2013 - 2017) Analysis & Trends
Restaurant Brands International (QSR) has reported Accumulated Expenses for 5 consecutive years, with $81.8 million the latest figure, recorded in Q1 2017.
- On a quarterly basis, Accumulated Expenses fell 1.33% year-over-year to $81.8 million in Q1 2017; TTM through Mar 2017 was $81.8 million, a 1.33% decrease from a year earlier, with the FY2016 full-year figure at $63.3 million, changed 0.32% from the prior year.
- Accumulated Expenses was $81.8 million for Q1 2017 at Restaurant Brands International, up from $63.3 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $608.6 million in Q3 2015 and troughed at $39.4 million in Q4 2014.
- A 5-year average of $199.7 million and a median of $82.6 million in 2016 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses surged 60.15% in 2015 and slumped 87.23% in 2016, its largest moves.
- Over 5 years, Accumulated Expenses stood at $155.0 million in 2013, then sank by 74.58% to $39.4 million in 2014, then surged by 60.15% to $63.1 million in 2015, then increased by 0.32% to $63.3 million in 2016, then increased by 29.23% to $81.8 million in 2017.
- The last three Accumulated Expenses figures came in at $81.8 million (Q1 2017), $63.3 million (Q4 2016), and $82.6 million (Q3 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 |
|---|---|
| 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 | 39.40 Mn |
| Dec 31, 2013 | 155.00 Mn |
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_KEY
import 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();