Visa Asset Turnover Trend

V -- USA Stock  

USD 133.98  1.11  0.82%

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 Asset Turnover of Visa with missing and latest data points interpolated. Asset turnover is a measure of a firms operating efficiency; calculated by dividing Revenues by Average Assets. Often a component of DuPont return on equity analysis.
Asset Turnover10 Years Trend
Decreasing
Slightly volatile
 Asset Turnover 
      Timeline 

Visa Regression Statistics

Arithmetic Mean 0.34
Geometric Mean 0.31
Coefficient Of Variation 60.49
Mean Deviation 0.11
Median 0.28
Standard Deviation 0.21
Sample Variance 0.042029
Range 0.76
R Value(0.42)
Mean Square Error 0.037973
R Squared 0.18
Significance 0.17
Slope(0.024031)
Total Sum of Squares 0.46

Visa Asset Turnover Over Time

2014  0.35 
2015  0.25 
2018  0.30 

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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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