Restaurant Cash Flow Coverage Ratios from 2010 to 2024

QSR Stock  USD 69.10  0.68  0.97%   
Restaurant Brands Cash Flow Coverage Ratios yearly trend continues to be relatively stable with very little volatility. Cash Flow Coverage Ratios is likely to drop to 0.08. During the period from 2010 to 2024, Restaurant Brands Cash Flow Coverage Ratios destribution of quarterly values had range of 0.1232 from its regression line and mean deviation of  0.02. View All Fundamentals
 
Cash Flow Coverage Ratios  
First Reported
2010-12-31
Previous Quarter
0.10212273
Current Value
0.08
Quarterly Volatility
0.03147903
 
Credit Downgrade
 
Yuan Drop
 
Covid
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 Interest Expense of 624.8 M, Selling General Administrative of 572.5 M or Total Revenue of 3.9 B, as well as many indicators such as Price To Sales Ratio of 5.2, Dividend Yield of 0.029 or PTB Ratio of 5.79. Restaurant financial statements analysis is a perfect complement when working with Restaurant Brands Valuation or Volatility modules.
  
Check out the analysis of Restaurant Brands Correlation against competitors.

Latest Restaurant Brands' Cash Flow Coverage Ratios Growth Pattern

Below is the plot of the Cash Flow Coverage Ratios of Restaurant Brands International over the last few years. It is Restaurant Brands' Cash Flow Coverage Ratios 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.
Cash Flow Coverage Ratios10 Years Trend
Pretty Stable
   Cash Flow Coverage Ratios   
       Timeline  

Restaurant Cash Flow Coverage Ratios Regression Statistics

Arithmetic Mean0.1
Geometric Mean0.09
Coefficient Of Variation31.80
Mean Deviation0.02
Median0.10
Standard Deviation0.03
Sample Variance0.001
Range0.1232
R-Value0.24
Mean Square Error0
R-Squared0.06
Significance0.39
Slope0
Total Sum of Squares0.01

Restaurant Cash Flow Coverage Ratios History

2024 0.08
2023 0.1
2021 0.13
2020 0.0738
2018 0.0978
2017 0.12
2016 0.15

About Restaurant Brands Financial Statements

Restaurant Brands shareholders use historical fundamental indicators, such as Cash Flow Coverage Ratios, 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. The changes in Restaurant Brands' assets and liabilities, for example, are also reflected in the revenues and expenses on on Restaurant Brands' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Cash Flow Coverage Ratios 0.10  0.08 

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

  0.5LNW Light WonderPairCorr
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.
Pair CorrelationCorrelation Matching

Additional Tools for Restaurant Stock Analysis

When running Restaurant Brands' price analysis, check to measure Restaurant Brands' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Restaurant Brands is operating at the current time. Most of Restaurant Brands' value examination focuses on studying past and present price action to predict the probability of Restaurant Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Restaurant Brands' price. Additionally, you may evaluate how the addition of Restaurant Brands to your portfolios can decrease your overall portfolio volatility.