Visa Current Liabilities Trend

V -- USA Stock  

USD 137.77  0.49  0.00%

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 4 B or Cost of Revenue of 1.7 B, but also many exotic indicators such as Interest Coverage of 455 or Long Term Debt to Equity of 0.2699. 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 Current Liabilities of Visa with missing and latest data points interpolated. The current portion of [Liabilities]; reported if the company operates a classified balance sheet that segments current and non-current liabilities.


          10 Years Trend
Slightly volatile
 Current Liabilities 

Visa Regression Statistics

Arithmetic Mean 5,951,446,917
Geometric Mean 5,362,869,232
Coefficient Of Variation 39.00
Mean Deviation 1,954,211,931
Median 7,241,400,000
Standard Deviation 2,320,772,717
Range 6,653,037,000
R Value 0.81
R Squared 0.66
Significance 0.001248
Slope 524,409,115

Visa Current Liabilities Over Time

2014  5,355,000,000 
2015  8,046,000,000 
2018  7,241,400,000 

Other Fundumenentals of Visa

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Visa Fundamental Drivers

Visa Fundamental Market Drivers

Short Percent Of Float1.66%
Forward Price Earnings22.14
Shares Short Prior Month29.65M
Average Daily Volume Last 10 Day8.37M
Average Daily Volume In Three Month10.77M
Date Short InterestDecember 31, 2018
Fifty Day Average135.28
Two Hundred Day Average139.83

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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.