Apple Cash Flow Per Share Trend

AAPL -- USA Stock  

USD 217.88  5.96  2.66%

This module enables investors to look at Apple 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 53.7 B, Cost of Revenue of 154.6 B or Earning Before Interest and Taxes EBIT of 72.2 B, but also many exotic indicators such as Long Term Debt to Equity of 0.6919, Calculated Tax Rate of 30.0674 or PPandE Turnover of 10.2823. This module is a perfect complement to use when analyzing Apple Valuation or Volatility. It can also complement various Apple Technical models. Check also analysis of Apple Correlation with competitors.
Showing smoothed Cash Flow Per Share of Apple with missing and latest data points interpolated.
Cash Flow Per Share10 Years Trend
Increasing
Slightly volatile
 Cash Flow Per Share 
      Timeline 

Apple Regression Statistics

Arithmetic Mean 8.64
Geometric Mean 6.57
Coefficient Of Variation 56.72
Mean Deviation 4.07
Median 10.18
Standard Deviation 4.90
Sample Variance 24.03
Range 13.67
R Value 0.94
Mean Square Error 2.85
R Squared 0.89
Significance 0.00000373
Slope 1.28
Total Sum of Squares 264.32

Apple Cash Flow Per Share Over Time

2016-12-31  12.34 
2017-12-31  12.34 
2018-12-31  14.51 

Other Fundumenentals of Apple

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Apple Fundamental Drivers

Apple Fundamental Market Drivers

Short Percent Of Float0.83%
Forward Price Earnings16.50
Shares Short Prior Month42.85M
Average Daily Volume Last 10 Day38.58M
Average Daily Volume In Three Month26.54M
Date Short InterestAugust 15, 2018
Fifty Day Average214.71
Two Hundred Day Average189.70

Apple Upcoming Events

Apple Upcoming Company Events

Upcoming Quarterly ReportOctober 24, 2017
Next Earnings ReportJanuary 30, 2018
Check also analysis of Apple Correlation with competitors. Please also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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