Restaurant Brands International Limited Partnership (RSTRF) Restructuring Costs (2014 - 2016)
Restaurant Brands International Limited Partnership's (RSTRF) quarterly Restructuring Costs came in at $900000.0 in Q2 2016, up 200.0% year-over-year from $300000.0 in Q3 2015, and up 28.57% quarter-over-quarter from $700000.0 in Q1 2016.
Restaurant Brands International Limited Partnership (RSTRF) Restructuring Costs (2014 - 2016) Analysis & Trends
Restaurant Brands International Limited Partnership (RSTRF) has reported Restructuring Costs for 3 consecutive years, with $900000.0 the latest figure, recorded in Q2 2016.
- On a quarterly basis, Restructuring Costs rose 200.0% year-over-year to $900000.0 in Q2 2016; TTM through Jun 2016 was -$2.3 million, a 163.89% decrease from a year earlier, with the FY2015 full-year figure at $1.3 million, down 67.5% from the prior year.
- Restructuring Costs was $900000.0 for Q2 2016 at Restaurant Brands International Limited Partnership, up from $700000.0 in the prior quarter.
- Over five years, Restructuring Costs peaked at $6.9 million in Q3 2014 and troughed at -$5.2 million in Q4 2014.
- A 3-year average of $460000.0 and a median of $800000.0 in 2016 frame the typical range for Restructuring Costs.
- Across the five-year window, Restructuring Costs tumbled 108.7% in 2015 and soared 200.0% in 2016, its largest moves.
- Over 3 years, Restructuring Costs stood at -$5.2 million in 2014, then soared by 36.54% to -$3.3 million in 2015, then soared by 127.27% to $900000.0 in 2016.
- The last three Restructuring Costs figures came in at $900000.0 (Q2 2016), $700000.0 (Q1 2016), and -$3.3 million (Q4 2015), 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 |
|---|---|
| Jun 30, 2016 | 900,000.00 |
| Mar 31, 2016 | 700,000.00 |
| Dec 31, 2015 | -3.30 Mn |
| Sep 30, 2015 | -600,000.00 |
| Jun 30, 2015 | 300,000.00 |
| Mar 31, 2015 | 1.60 Mn |
| Dec 31, 2014 | -5.20 Mn |
| Sep 30, 2014 | 6.90 Mn |
| Jun 30, 2014 | 2.10 Mn |
| Mar 31, 2014 | 1.20 Mn |
Restaurant Brands International Limited Partnership Restructuring Costs 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=restructuring-costs&ticker=RSTRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();