Veritiv Shareholders Equity Trend

VRTV -- USA Stock  

USD 47.90  0.05  0.10%

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 Shareholders Equity of Veritiv Corporation with missing and latest data points interpolated. A principal component of the balance sheet; in addition to Total Liabilities and Total Assets; that represents the total of all stockholders' equity (deficit) items; net of receivables from officers; directors; owners; and affiliates of the entity which are attributable to the parent.
Shareholders Equity10 Years Trend
Increasing
Slightly volatile
 Shareholders Equity 
      Timeline 

Regression Statistics

Arithmetic Mean  224,462,255
Coefficient Of Variation  126.73
Mean Deviation  267,355,964
Median (4,700,000)
Standard Deviation  284,471,586
Range  628,347,059
R Value  0.87
R Squared  0.76
Significance  0.00021117
Slope  68,860,901

Veritiv Shareholders Equity Over Time

2016-12-31  530,100,000 
2017-12-31  530,100,000 
2018-12-31  623,647,059 

Other Fundumenentals

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Upcoming Events

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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.