Visa Earnings before Tax Trend

V -- USA Stock  

USD 140.08  0.79  0.57%

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 Earnings before Tax of Visa with missing and latest data points interpolated. Earnings Before Tax is calculated by adding Income Tax Expense back to Net Income.
Earnings before Tax10 Years Trend
Slightly volatile
 Earnings before Tax 

Visa Regression Statistics

Arithmetic Mean 6,207,635,279
Geometric Mean 5,098,428,652
Coefficient Of Variation 45.30
Mean Deviation 2,330,739,233
Median 7,724,000,000
Standard Deviation 2,812,143,266
Range 8,882,141,353
R Value 0.85
R Squared 0.73
Significance 0.00043757
Slope 664,306,136

Visa Earnings before Tax Over Time

2016-12-31  8,012,000,000 
2017-12-31  8,012,000,000 
2018-12-31  9,425,882,353 

Other Fundumenentals of Visa

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Visa Fundamental Drivers

Visa Fundamental Market Drivers

Short Percent Of Float1.57%
Forward Price Earnings26.59
Shares Short Prior Month27.69M
Average Daily Volume Last 10 Day12.22M
Average Daily Volume In Three Month7.81M
Date Short InterestSeptember 28, 2018
Fifty Day Average145.68
Two Hundred Day Average136.04

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.