Visa Book Value per Share Trend

V -- USA Stock  

USD 135.17  2.37  1.72%

This module enables investors to look at Visa 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 7 B or Cost of Revenue of 2.6 B, but also many exotic indicators such as Interest Coverage of 21.7192 or Long Term Debt to Equity of 0.5677. This module is a perfect complement to use when analyzing Visa Valuation or Volatility. It can also complement various Visa Technical models. Also please take a look at analysis of Visa Correlation with competitors.
Showing smoothed Book Value per Share of Visa with missing and latest data points interpolated. Measures the ratio between Shareholders Equity and Weighted Average Shares.
Book Value per Share10 Years Trend
Increasing
Slightly volatile
 Book Value per Share 
      Timeline 

Visa Regression Statistics

Arithmetic Mean 11.03
Coefficient Of Variation 45.96
Mean Deviation 4.03
Median 12.24
Standard Deviation 5.07
Sample Variance 25.70
Range 18.21
R Value 0.95
Mean Square Error 2.56
R Squared 0.91
Significance 0.00000155
Slope 1.34
Total Sum of Squares 282.69

Visa Book Value per Share Over Time

2014  13.60 
2015  15.36 
2018  18.07 

Other Fundumenentals of Visa

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Visa Fundamental Drivers

Visa Fundamental Market Drivers

Short Percent Of Float1.60%
Forward Price Earnings22.18
Shares Short Prior Month25.98M
Average Daily Volume Last 10 Day11.78M
Average Daily Volume In Three Month10M
Date Short InterestNovember 15, 2018
Fifty Day Average138.92
Two Hundred Day Average139.86

Visa Upcoming Events

Visa Upcoming Company Events

Upcoming Quarterly ReportOctober 23, 2017
Next Earnings ReportFebruary 1, 2018
Also please take a look at analysis of Visa Correlation with competitors. Please also try Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.
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