Veritiv Interest Coverage Trend

VRTV -- USA Stock  

USD 40.08  0.08  0.20%

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 Interest Coverage of Veritiv Corporation with missing and latest data points interpolated.
Interest Coverage10 Years Trend
Slightly volatile
 Interest Coverage 

Regression Statistics

Arithmetic Mean  1.71
Geometric Mean  1.26
Coefficient Of Variation  71.21
Mean Deviation  1.09
Median  1.47
Standard Deviation  1.21
Sample Variance  1.48
Range  2.93
R Value  0.94
Mean Square Error  0.20
R Squared  0.88
Significance  0.00000708
Slope  0.32
Total Sum of Squares  16.23

Veritiv Interest Coverage Over Time

2016-12-31  2.91 
2017-12-31  2.91 
2018-12-31  3.42 

Other Fundumenentals

Thematic Opportunities

Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
Explore Thematic Ideas
Explore Investing Ideas  

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 Focused Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.