Workday Net Cash Flow Investment Acquisitions and Disposals Trend

WDAY -- USA Stock  

USD 120.62  3.39  2.73%

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 Net Cash Flow Investment Acquisitions and Disposals of Workday with missing and latest data points interpolated. A component of Net Cash Flow from Investing representing the net cash inflow (outflow) associated with the acquisition & disposal of investments, including marketable securities and loan originations.
Net Cash Flow Investment Acquisitions and Disposals10 Years Trend
Decreasing
Slightly volatile
 Net Cash Flow Investment Acquisitions and Disposals 
      Timeline 

Regression Statistics

Arithmetic Mean (167,139,552)
Geometric Mean  65,142,402
Coefficient Of Variation (132.68)
Mean Deviation  159,077,438
Median (134,284,000)
Standard Deviation  221,765,990
Range  670,049,000
R Value (0.34)
R Squared  0.11
Significance  0.26
Slope (19,290,105)

Workday Net Cash Flow Investment Acquisitions and Disposals Over Time

2016-12-31 (134,284,000) 
2017-12-31 (134,284,000) 
2018-12-31 (157,981,176) 

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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.