DreamWorks Animation Earnings per Diluted Share Trend

DreamWorks Animation SKG -- USA Stock  

USD 40.97  40.97  9,223,372,036,855%

This module enables investors to look at DreamWorks Animation 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 460.3 M, Gross Profit of 389.6 M or Interest Expense of 4.6 M, but also many exotic indicators such as Interest Coverage of 0.8288, Long Term Debt to Equity of 0.3086 or Calculated Tax Rate of 27.5883. This module is a perfect complement to use when analyzing DreamWorks Animation Valuation or Volatility. It can also complement various DreamWorks Animation Technical models. Additionally see analysis of DreamWorks Animation Correlation with competitors.
Showing smoothed Earnings per Diluted Share of DreamWorks Animation SKG with missing and latest data points interpolated. Earnings per diluted share as calculated and reported by the company. Approximates to the amount of Net Income for the period per each Weighted Average Shares Diluted.
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0.62 times

            10 Years Trend  
Increasing
Slightly volatile
 Earnings per Diluted Share 
      Timeline 

Regression Statistics

Arithmetic Mean (0.42)
Geometric Mean  0.40
Coefficient Of Variation (157.79)
Mean Deviation  0.31
Median (0.33)
Standard Deviation  0.66
Sample Variance  0.44
Range  3.06
R Value  0.59
Mean Square Error  0.31
R Squared  0.35
Significance  0.032344
Slope  0.10
Total Sum of Squares  5.25

DreamWorks Animation Earnings per Diluted Share Over Time

2016-12-31 (0.33) 
2017-12-31 (0.33) 
2018-12-31  0.62 

Other Fundumenentals

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DWA - USA Stock
DreamWorks Animation SKG
Fama & French Entertainment
Entertainment
Fama & French Classification
RegionNorth America
ExchangeNASDAQ
$40.97

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