Workday Total Debt USD Trend

WDAY -- USA Stock  

USD 143.68  3.02  2.15%

This module enables investors to look at Workday 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 Cost of Revenue of 440.5 M, Gross Profit of 1.5 B or Operating Expenses of 1.2 B, but also many exotic indicators such as Long Term Debt to Equity of 0.5255, PPandE Turnover of 7.7194 or Receivables Turnover of 5.6769. This module is a perfect complement to use when analyzing Workday Valuation or Volatility. It can also complement various Workday Technical models. See also analysis of Workday Correlation with competitors.
Showing smoothed Total Debt USD of Workday with missing and latest data points interpolated. Total Debt in USD; converted by [FXUSD].
Total Debt USD10 Years Trend
Increasing
Slightly volatile
 Total Debt USD 
      Timeline 

Workday Regression Statistics

Arithmetic Mean 261,944,799
Geometric Mean 59,920,747
Coefficient Of Variation 101.25
Mean Deviation 252,388,799
Median 481,378,000
Standard Deviation 265,211,808
Range 592,870,588
R Value 0.90
R Squared 0.81
Significance 0.00006308
Slope 66,279,572

Workday Total Debt USD Over Time

2016-12-31  507,476,000 
2017-12-31  507,476,000 
2018-12-31  597,030,588 

Other Fundumenentals of Workday

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Workday Fundamental Drivers

Workday Fundamental Market Drivers

Forward Price Earnings97.16
Short Percent Of Float13.01%
Average Daily Volume Last 10 Day2.68M
Shares Short Prior Month13.5M
Average Daily Volume In Three Month1.84M
Date Short InterestAugust 15, 2018
Fifty Day Average141.22
Two Hundred Day Average132.42

Workday Upcoming Events

Workday Upcoming Company Events

Upcoming Quarterly ReportMay 30, 2017
Next Earnings ReportAugust 23, 2017
See also analysis of Workday Correlation with competitors. Please also try Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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