Workday Share Based Compensation Trend

Workday -- USA Stock  

USD 130.53  1.44  1.09%

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 Share Based Compensation of Workday with missing and latest data points interpolated. A component of Net Cash Flow from Operations representing the total amount of noncash, equity-based employee remuneration. This may include the value of stock or unit options, amortization of restricted stock or units, and adjustment for officers' compensation. As noncash, this element is an add back when calculating net cash generated by operating activities using the indirect method.
Share Based Compensation  10 Years Trend  
Increasing
Slightly volatile
 Share Based Compensation 
      Timeline 

Regression Statistics

Arithmetic Mean  98,975,950
Geometric Mean  15,553,591
Coefficient Of Variation  122.02
Mean Deviation  108,486,246
Median  15,328,000
Standard Deviation  120,769,546
Range  293,186,353
R Value  0.91
R Squared  0.82
Significance  0.00001977
Slope  28,100,918

Workday Share Based Compensation Over Time

2016-12-31  249,970,000 
2017-12-31  249,970,000 
2018-12-31  294,082,353 

Other Fundumenentals

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WDAY - USA Stock
Workday
Fama & French Business Services
Business Services
Fama & French Classification
RegionNorth America
ExchangeNASDAQ
$130.53

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See also analysis of Workday Correlation with competitors. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.