Brunswick Gross Profit Trend

BC -- USA Stock  

USD 68.77  0.79  1.16%

This module enables investors to look at Brunswick 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 324.7 M, Cost of Revenue of 3.8 B or Earning Before Interest and Taxes EBIT of 492.7 M, but also many exotic indicators such as Interest Coverage of 15.1955, Long Term Debt to Equity of 0.3413 or Calculated Tax Rate of 30.5806. This module is a perfect complement to use when analyzing Brunswick Valuation or Volatility. It can also complement various Brunswick Technical models. Check also analysis of Brunswick Correlation with competitors.
Showing smoothed Gross Profit of Brunswick Corporation with missing and latest data points interpolated. Gross profit is a required income statement account that reflects total revenue of Brunswick Corporation minus its cost of goods sold. It is profit before Brunswick operating expenses, interest payments and taxes. Gross profit is also known as gross margin. Aggregate revenue Revenues less cost of revenue Cost of Revenue directly attributable to the revenue generation activity.
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1.23 B

          10 Years Trend
Increasing
Slightly volatile
 Gross Profit 
      Timeline 

Regression Statistics

Arithmetic Mean  1,207,938,462
Geometric Mean  1,206,216,996
Coefficient Of Variation  5.25
Mean Deviation  32,436,686
Median  1,225,100,000
Standard Deviation  63,363,548
Range  232,900,000
R Value  0.47
R Squared  0.22
Significance  0.10
Slope  7,678,022

Brunswick Gross Profit Over Time

2016-12-31  1,225,100,000 
2017-12-31  1,225,100,000 
2018-12-31  1,230,000,000 

Other Fundumenentals

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Upcoming Events

Brunswick Upcoming Company Events
Upcoming Quarterly ReportApril 27, 2017
Next Earnings ReportJuly 27, 2017
Check also analysis of Brunswick Correlation with competitors. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.