Restaurant Brands International Limited Partnership (RSTRF) Pension (2013 - 2017)
Restaurant Brands International Limited Partnership's (RSTRF) quarterly Pension came in at $82.4 million in Q1 2017, up 3.0% year-over-year from $80.0 million in Q1 2016, and down 0.6% quarter-over-quarter from $82.9 million in Q4 2016.
Restaurant Brands International Limited Partnership (RSTRF) Pension (2013 - 2017) Analysis & Trends
Restaurant Brands International Limited Partnership (RSTRF) has reported Pension for 5 consecutive years, with $82.4 million the latest figure, recorded in Q1 2017.
- On a quarterly basis, Pension rose 3.0% year-over-year to $82.4 million in Q1 2017; TTM through Mar 2017 was $82.4 million, a 3.0% increase from a year earlier, with the FY2016 full-year figure at $82.9 million, up 3.37% from the prior year.
- Pension was $82.4 million for Q1 2017 at Restaurant Brands International Limited Partnership, down from $82.9 million in the prior quarter.
- Over five years, Pension peaked at $82.9 million in Q4 2016 and troughed at $37.4 million in Q4 2013.
- A 5-year average of $69.9 million and a median of $77.9 million in 2016 frame the typical range for Pension.
- Across the five-year window, Pension soared 68.18% in 2014 and advanced 3.0% in 2017, its largest moves.
- Over 5 years, Pension stood at $37.4 million in 2013, then jumped by 68.18% to $62.9 million in 2014, then rose by 27.5% to $80.2 million in 2015, then advanced by 3.37% to $82.9 million in 2016, then decreased by 0.6% to $82.4 million in 2017.
- The last three Pension figures came in at $82.4 million (Q1 2017), $82.9 million (Q4 2016), and $77.9 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 | 82.40 Mn |
| Dec 31, 2016 | 82.90 Mn |
| Sep 30, 2016 | 77.90 Mn |
| Jun 30, 2016 | 78.90 Mn |
| Mar 31, 2016 | 80.00 Mn |
| Dec 31, 2015 | 80.20 Mn |
| Sep 30, 2015 | 61.90 Mn |
| Jun 30, 2015 | 62.50 Mn |
| Mar 31, 2015 | 62.40 Mn |
| Dec 31, 2014 | 62.90 Mn |
| Dec 31, 2013 | 37.40 Mn |
Restaurant Brands International Limited Partnership Pension 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=pension&ticker=RSTRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();