Restaurant Brands International Stock Total Debt
| QSP-UN Stock | CAD 97.31 0.07 0.07% |
Restaurant Brands International fundamentals help investors to digest information that contributes to Restaurant Brands' financial success or failures. It also enables traders to predict the movement of Restaurant Stock. The fundamental analysis module provides a way to measure Restaurant Brands' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Restaurant Brands stock.
As of November 30, 2024, Total Debt To Capitalization is expected to decline to 0.62. Restaurant | Total Debt |
Restaurant Brands International Company Total Debt Analysis
Restaurant Brands' Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
Current Restaurant Brands Total Debt | 14.52 B |
Most of Restaurant Brands' fundamental indicators, such as Total Debt, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Restaurant Brands International is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Restaurant Total Debt Driver Correlations
Understanding the fundamental principles of building solid financial models for Restaurant Brands is extremely important. It helps to project a fair market value of Restaurant Stock properly, considering its historical fundamentals such as Total Debt. Since Restaurant Brands' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Restaurant Brands' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Restaurant Brands' interrelated accounts and indicators.
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In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
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Restaurant Net Debt
Net Debt |
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Based on the latest financial disclosure, Restaurant Brands International has a Total Debt of 14.52 B. This is 276.25% higher than that of the Hotels, Restaurants & Leisure sector and significantly higher than that of the Consumer Discretionary industry. The total debt for all Canada stocks is 172.98% lower than that of the firm.
Restaurant Total Debt Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Restaurant Brands' direct or indirect competition against its Total Debt to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Restaurant Brands could also be used in its relative valuation, which is a method of valuing Restaurant Brands by comparing valuation metrics of similar companies.Restaurant Brands is currently under evaluation in total debt category among its peers.
Restaurant Fundamentals
| Return On Equity | 0.37 | ||||
| Return On Asset | 0.0586 | ||||
| Profit Margin | 0.23 % | ||||
| Operating Margin | 0.27 % | ||||
| Current Valuation | 53.46 B | ||||
| Shares Outstanding | 127.05 M | ||||
| Number Of Shares Shorted | 70 | ||||
| Price To Earning | 40.78 X | ||||
| Price To Book | 4.62 X | ||||
| Price To Sales | 4.12 X | ||||
| Revenue | 7.02 B | ||||
| Gross Profit | 2.6 B | ||||
| EBITDA | 2.35 B | ||||
| Net Income | 1.72 B | ||||
| Cash And Equivalents | 1.03 B | ||||
| Cash Per Share | 2.51 X | ||||
| Total Debt | 14.52 B | ||||
| Debt To Equity | 340.40 % | ||||
| Current Ratio | 1.20 X | ||||
| Book Value Per Share | 15.01 X | ||||
| Cash Flow From Operations | 1.32 B | ||||
| Short Ratio | 1.89 X | ||||
| Earnings Per Share | 5.84 X | ||||
| Number Of Employees | 9 K | ||||
| Beta | 0.87 | ||||
| Market Capitalization | 32.66 B | ||||
| Total Asset | 23.39 B | ||||
| Retained Earnings | 1.6 B | ||||
| Working Capital | 29 M | ||||
| Annual Yield | 0.03 % | ||||
| Net Asset | 23.39 B | ||||
| Last Dividend Paid | 2.29 |
About Restaurant Brands Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Restaurant Brands International's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Restaurant Brands using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Restaurant Brands International based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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
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 Your Equity Center to better understand how to build diversified portfolios, which includes a position in Restaurant Brands International. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.