Curtiss Wright Research and Development Expense Trend

CW -- USA Stock  

USD 129.32  1.20  0.94%

This module enables investors to look at Curtiss Wright 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 220.4 M, Cost of Revenue of 1.6 B or Earning Before Interest and Taxes EBIT of 361.4 M, but also many exotic indicators such as Interest Coverage of 8.4677, Long Term Debt to Equity of 0.732 or Calculated Tax Rate of 31.2977. This module is a perfect complement to use when analyzing Curtiss Wright Valuation or Volatility. It can also complement various Curtiss Wright Technical models. Check also analysis of Curtiss Wright Correlation with competitors.
Showing smoothed Research and Development Expense of Curtiss Wright Corporation with missing and latest data points interpolated. A component of Operating Expenses representing the aggregate costs incurred in a planned search or critical investigation aimed at discovery of new knowledge with the hope that such knowledge will be useful in developing a new product or service.
Research and Development Expense10 Years Trend
Increasing
Slightly volatile
 Research and Development Expense 
      Timeline 

Regression Statistics

Arithmetic Mean  56,581,136
Geometric Mean  55,044,190
Coefficient Of Variation  18.99
Mean Deviation  5,303,098
Median  58,592,000
Standard Deviation  10,744,020
Range  46,820,765
R Value  0.56
R Squared  0.31
Significance  0.046795
Slope  1,543,542

Curtiss Wright Research and Development Expense Over Time

2016-12-31  58,592,000 
2017-12-31  58,592,000 
2018-12-31  68,931,765 

Other Fundumenentals

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Upcoming Events

Curtiss Wright Upcoming Company Events
Upcoming Quarterly ReportMay 3, 2017
Next Earnings ReportJuly 26, 2017
Check also analysis of Curtiss Wright Correlation with competitors. Please also try Price Transformation module to use price transformation models to analyze depth of different equity instruments across global markets.