Restaurant Operating Income from 2010 to 2026
| QSP-UN Stock | CAD 91.27 0.77 0.85% |
Operating Income | First Reported 2012-09-30 | Previous Quarter 673 M | Current Value 647 M | Quarterly Volatility 174.3 M |
Check Restaurant Brands financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Restaurant Brands' main balance sheet or income statement drivers, such as Depreciation And Amortization of 189.3 M, Interest Expense of 538.2 M or Selling General Administrative of 512.2 M, as well as many indicators such as Price To Sales Ratio of 4.68, Dividend Yield of 0.032 or PTB Ratio of 5.29. Restaurant financial statements analysis is a perfect complement when working with Restaurant Brands Valuation or Volatility modules.
Restaurant | Operating Income |
Analyzing Restaurant Brands's Operating Income over time reveals critical patterns in financial health and operational efficiency. This metric helps investors evaluate trends, identify inflection points, and make informed decisions based on historical performance. Understanding how Operating Income has evolved provides context for assessing Restaurant Brands's current valuation and future prospects.
Latest Restaurant Brands' Operating Income Growth Pattern
Below is the plot of the Operating Income of Restaurant Brands International over the last few years. Operating Income is the amount of profit realized from Restaurant Brands operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Restaurant Brands International is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Restaurant Brands' Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Restaurant Brands' overall financial position and show how it may be relating to other accounts over time.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Restaurant Operating Income Regression Statistics
| Arithmetic Mean | 1,416,147,983 | |
| Geometric Mean | 1,135,829,270 | |
| Coefficient Of Variation | 52.18 | |
| Mean Deviation | 629,210,341 | |
| Median | 1,692,915,715 | |
| Standard Deviation | 738,965,683 | |
| Sample Variance | 546070.3T | |
| Range | 2.2B | |
| R-Value | 0.86 | |
| Mean Square Error | 152365.9T | |
| R-Squared | 0.74 | |
| Slope | 125,749,083 | |
| Total Sum of Squares | 8737124.5T |
Restaurant Operating Income History
About Restaurant Brands Financial Statements
Restaurant Brands stakeholders use historical fundamental indicators, such as Restaurant Brands' Operating Income, to determine how well the company is positioned to perform in the future. Although Restaurant Brands investors may analyze each financial statement separately, they are all interrelated. For example, changes in Restaurant Brands' assets and liabilities are reflected in the revenues and expenses on Restaurant Brands' income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Restaurant Brands International. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Operating Income | 2.2 B | 1.7 B |
Pair Trading with Restaurant Brands
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Restaurant Brands position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Restaurant Brands will appreciate offsetting losses from the drop in the long position's value.Moving against Restaurant Stock
| 0.62 | BPF-UN | Boston Pizza Royalties | PairCorr |
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| 0.6 | ACQ | Autocanada | PairCorr |
| 0.56 | BCE-PT | Bce Inc Pref | PairCorr |
| 0.55 | PML | Panoro Minerals | PairCorr |
The ability to find closely correlated positions to Restaurant Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Restaurant Brands when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Restaurant Brands - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Restaurant Brands International to buy it.
The correlation of Restaurant Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Restaurant Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Restaurant Brands moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Restaurant Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out the analysis of Restaurant Brands Correlation against competitors. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.