Workday Share Based Compensation Trend

WDAY -- USA Stock  

USD 139.20  3.45  2.42%

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 Compensation10 Years Trend
Increasing
Slightly volatile
 Share Based Compensation 
      Timeline 

Regression Statistics

Arithmetic Mean  107,149,279
Geometric Mean  19,729,870
Coefficient Of Variation  114.16
Mean Deviation  110,715,659
Median  61,851,000
Standard Deviation  122,326,717
Range  293,186,353
R Value  0.92
R Squared  0.85
Significance  0.000019
Slope  31,306,625

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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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 Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.