Veritiv Revenues Trend

VRTV -- USA Stock  

USD 40.65  0.50  1.25%

This module enables investors to look at Veritiv various fundamental indicators over time in order to gain insight into the company future performance. Macroaxis historical fundamental analysis tools allow evaluation of not only typical financial statement drivers such as Consolidated Income of 31.4 M, Cost of Revenue of 8.4 B or Earning Before Interest and Taxes EBIT of 84.6 M, but also many exotic indicators such as Interest Coverage of 3.4248, Long Term Debt to Equity of 2.2156 or Calculated Tax Rate of 47.6877. This module is a perfect complement to use when analyzing Veritiv Valuation or Volatility. It can also complement various Veritiv Technical models. Also please take a look at analysis of Veritiv Correlation with competitors.
Showing smoothed Revenues of Veritiv Corporation with missing and latest data points interpolated. Revenues refers to the total amount of money received by Veritiv for goods sold or services provided during a certain time period. It also includes all of Veritiv sales as well as any other increase in Veritiv Corporation equity.Revenues are reported on Veritiv income statement and calculated before any expenses are subtracted. Amount of Revenue recognized from goods sold
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8.47 B

          10 Years Trend
Increasing
Slightly volatile
 Revenues 
      Timeline 

Regression Statistics

Arithmetic Mean  6,979,500,000
Geometric Mean  6,872,067,389
Coefficient Of Variation  18.75
Mean Deviation  1,188,683,333
Median  6,012,000,000
Standard Deviation  1,308,901,999
Range  3,065,300,000
R Value  0.84
R Squared  0.71
Significance  0.00054791
Slope  306,579,021

Veritiv Revenues Over Time

2016-12-31  8,717,700,000 
2017-12-31  8,717,700,000 
2018-12-31  8,470,000,000 

Other Fundumenentals

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Veritiv Upcoming Company Events

Upcoming Quarterly ReportMarch 14, 2017
Next Earnings ReportMay 9, 2017
Also please take a look at analysis of Veritiv Correlation with competitors. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.
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