Natus Medical Weighted Average Shares Diluted Trend

BABY -- USA Stock  

USD 34.25  3.35  10.84%

This module enables investors to look at Natus Medical 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 42.4 M, Cost of Revenue of 152.7 M or Earning Before Interest and Taxes EBIT of 56.5 M, but also many exotic indicators such as Interest Coverage of 194, Long Term Debt to Equity of 0.1056 or Calculated Tax Rate of 32.5157. This module is a perfect complement to use when analyzing Natus Medical Valuation or Volatility. It can also complement various Natus Medical Technical models. Check also analysis of Natus Medical Correlation with competitors.
Showing smoothed Weighted Average Shares Diluted of Natus Medical Incorporated with missing and latest data points interpolated. The weighted average number of shares or units issued and outstanding that are used by the company to calculate [EPSDil]; determined based on the timing of issuance of shares or units in the period.
Weighted Average Shares Diluted10 Years Trend
Increasing
Slightly volatile
 Weighted Average Shares Diluted 
      Timeline 

Natus Medical Regression Statistics

Arithmetic Mean 28,985,596
Geometric Mean 27,419,988
Coefficient Of Variation 24.82
Mean Deviation 4,134,064
Median 30,821,000
Standard Deviation 7,194,525
Range 27,353,158
R Value 0.74
R Squared 0.55
Significance 0.005535
Slope 1,484,436

Natus Medical Weighted Average Shares Diluted Over Time

2016-12-31  33,056,000 
2017-12-31  33,056,000 
2018-12-31  34,893,158 

Other Fundumenentals of Natus Medical Incorp

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Natus Medical Upcoming Events

Natus Medical Upcoming Company Events

Upcoming Quarterly ReportApril 19, 2017
Next Earnings ReportJuly 19, 2017
Check also analysis of Natus Medical 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.
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