Reliance Steel Return on Sales Trend

RS -- USA Stock  

USD 92.18  1.05  1.13%

This module enables investors to look at Reliance Steel 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 363.6 M, Cost of Revenue of 7.1 B or Earning Before Interest and Taxes EBIT of 598.8 M, but also many exotic indicators such as Interest Coverage of 4.5704, Long Term Debt to Equity of 0.4292 or Calculated Tax Rate of 36.5483. This module is a perfect complement to use when analyzing Reliance Steel Valuation or Volatility. It can also complement various Reliance Steel Technical models. Additionally take a look at analysis of Reliance Steel Correlation with competitors.
Showing smoothed Return on Sales of Reliance Steel Aluminum Co with missing and latest data points interpolated. Return on Sales is a ratio to evaluate a company's operational efficiency, calculated by dividing Earning Before Interest and Taxes EBIT by Revenues. ROS is often a component of DuPont return on equity.
Return on Sales10 Years Trend
Increasing
Slightly volatile
 Return on Sales 
      Timeline 

Regression Statistics

Arithmetic Mean  0.06
Geometric Mean  0.06
Coefficient Of Variation  9.38
Mean Deviation  0.002395
Median  0.06
Standard Deviation  0.005492
Sample Variance  0.00003017
Range  0.026412
R Value  0.62
Mean Square Error  0.00002037
R Squared  0.38
Significance  0.024564
Slope  0.00087072
Total Sum of Squares  0.000362

Reliance Steel Return on Sales Over Time

2016-12-31  0.06 
2017-12-31  0.06 
2018-12-31  0.07 

Other Fundumenentals

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Upcoming Events

Reliance Steel Upcoming Company Events
Upcoming Quarterly ReportApril 27, 2017
Next Earnings ReportJuly 20, 2017
Additionally take a look at analysis of Reliance Steel Correlation with competitors. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.