Visa Long Term Debt to Equity Trend

V -- USA Stock

USD 132.62 2.47 1.83%

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 Long Term Debt to Equity of Visa with missing and latest data points interpolated.

Long Term Debt to Equity

10 Years Trend

Increasing

Slightly volatile

Compare to Others All Fundamentals

Long Term Debt to Equity

Timeline

Visa Regression Statistics

Arithmetic Mean	0.37
Geometric Mean	0.12
Coefficient Of Variation	60.35
Mean Deviation	0.18
Median	0.48
Standard Deviation	0.22
Sample Variance	0.049727
Range	0.57
R Value	0.79
Mean Square Error	0.020859
R Squared	0.62
Significance	0.002408
Slope	0.048646
Total Sum of Squares	0.55

Visa Long Term Debt to Equity Over Time

2009	0.001279
2010	0.48
2018	0.57

Other Fundumenentals of Visa

Total Debt
Debt Current
Debt Non Current
Total Debt USD

Thematic Opportunities

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Visa Fundamental Drivers

Visa Fundamental Market Drivers

Short Percent Of Float	1.60%
Forward Price Earnings	22.18
Shares Short Prior Month	25.98M
Average Daily Volume Last 10 Day	11.78M
Average Daily Volume In Three Month	10M
Date Short Interest	November 15, 2018
Fifty Day Average	138.92
Two Hundred Day Average	139.86

Visa Upcoming Events

Visa Upcoming Company Events

	Upcoming Quarterly Report	October 23, 2017
	Next Earnings Report	February 1, 2018

Also please take a look at analysis of Visa 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.

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