Sysco EBITDA Trend from 2010 to 2020

<div class='circular--portrait' style='background:#754DEB;color: #F0FFF0;font-size:3em;padding-top: 38px;;'>SYY</div>
SYY -- USA Stock  

Report: 10th of August 2020  

Sysco Earnings Before Interest Taxes and Depreciation Amortization EBITDA yearly trend continues to be fairly stable with very little volatility. Earnings Before Interest Taxes and Depreciation Amortization EBITDA will likely drop to about 2.6 B in 2020. During the period from 2010 to 2020, Sysco Earnings Before Interest Taxes and Depreciation Amortization EBITDA regression line of anual values had slope of 1,636,308 and arithmetic mean of  2,857,303,415. Sysco Interest Expense is fairly stable at the moment as compared to the past year. Sysco reported Interest Expense of 102.06 Million in 2019. Weighted Average Shares is likely to grow to about 604.7 M in 2020, whereas Direct Expenses is likely to drop slightly above 41.7 B in 2020.

Search Historical Trends

 
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Check Sysco financial statements over time to gain insight into the future company performance. Apply historical fundamental analysis to find patterns among financial statement drivers such as Direct Expenses of 41.7 B, Consolidated Income of 924.9 M or Cost of Revenue of 28.8 B, as well as many exotic indicators such as Interest Coverage of 9.15, Long Term Debt to Equity of 3.25 or Calculated Tax Rate of 33.08. This can be a perfect complement to check Sysco Valuation or Volatility. It can also complement various Sysco Technical models. Additionally, take a look at the analysis of Sysco Correlation with competitors.

Sysco EBITDA Marginal Breakdown

Showing smoothed Earnings Before Interest Taxes and Depreciation Amortization EBITDA of Sysco with missing and latest data points interpolated. EBITDA is a non-GAAP accounting metric that is widely used when assessing the performance of companies; calculated by adding Depreciation Amortization and Accretion back to Earning Before Interest and Taxes EBIT.
ViewLast Reported 3.02 B10 Years Trend
 Earnings Before Interest Taxes and Depreciation Amortization EBITDA 
      Timeline 

Sysco EBITDA Regression Statistics

Arithmetic Mean 2,857,303,415
Geometric Mean 2,854,878,930
Coefficient Of Variation 4.27
Mean Deviation 80,057,228
Median 2,834,508,000
Standard Deviation 122,147,016
Range 446,302,432
R-Value 0.04443
R-Squared 0.001974
Significance 0.90
Slope 1,636,308

Sysco EBITDA Over Time

20102.8 B
2017B
2019B
20202.6 B

Other Fundumenentals of Sysco

About Sysco Financial Statement Charts

There are typically three primary documents that fall into the category of financial statements. These documents include Sysco income statement, its balance sheet, and the statement of cash flows. Sysco investors use historical funamental indicators, such as Sysco's EBITDA, to determine how well the company is positioned to perform in the future. Although Sysco investors may use each financial statement separately, they are all related. The changes in Sysco's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Sysco's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Sysco Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Sysco. Please read more on our technical analysis and fundamental analysis pages.
 2010 2017 2019 2020 (projected)
Receivables4.01 B4.18 B4.07 B3.58 B
Inventories3 B3.22 B3.13 B2.73 B

Current Sentiment - SYY

Sysco Investor Sentiment

Predominant part of Macroaxis users are at this time bullish on Sysco. What is your outlook on investing in Sysco? Are you bullish or bearish?
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98% Bullish
2% Bearish
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Additionally, take a look at the analysis of Sysco Correlation with competitors. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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