Edwards Lifesciences Return on Average Assets Trend

EW -- USA Stock

USD 137.87 0.74 0.54%

This module enables investors to look at Edwards Lifesciences 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 560.2 M, Cost of Revenue of 744.5 M or Earning Before Interest and Taxes EBIT of 735.1 M, but also many exotic indicators such as Interest Coverage of 83.0439, Long Term Debt to Equity of 0.2914 or Calculated Tax Rate of 22.793. This module is a perfect complement to use when analyzing Edwards Lifesciences Valuation or Volatility. It can also complement various Edwards Lifesciences Technical models. Additionally see analysis of Edwards Lifesciences Correlation with competitors.

Showing smoothed Return on Average Assets of Edwards Lifesciences Corporation with missing and latest data points interpolated. Return on assets measures how profitable a company is Net Income Common Stock relative to its total assets Average Assets.

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11.47 %

10 Years Trend

Increasing

Slightly volatile

Compare to Others All Fundamentals

Return on Average Assets

Timeline

Regression Statistics

Arithmetic Mean	0.13
Coefficient Of Variation	45.31
Mean Deviation	0.033071
Median	0.14
Standard Deviation	0.06
Sample Variance	0.003428
Range	0.26
R Value	0.45
Mean Square Error	0.003021
R Squared	0.20
Significance	0.15
Slope	0.007244
Total Sum of Squares	0.037711

Edwards Lifesciences Return on Average Assets Over Time

2016-12-31	0.14
2017-12-31	0.14
2018-12-31	0.11

Other Fundumenentals

Total Assets
Current Assets
Assets Non Current
Goodwill and Intangible Assets

Thematic Opportunities

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Upcoming Events

Edwards Lifesciences Upcoming Company Events

	Upcoming Quarterly Report	April 25, 2017
	Next Earnings Report	July 25, 2017

Additionally see analysis of Edwards Lifesciences Correlation with competitors. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.