Reliance Steel Valuation Overview

RS -- USA Stock  

USD 91.95  0.91  1.00%

Reliance Steel Aluminum holds recent Real Value of $87.92575 per share. The prevailing price of the company is $91.95. At this time the company appears to be fairly valued. Macroaxis determines value of Reliance Steel Aluminum from analyzing the company fundamentals such as Shares Outstanding of 72.34M, Operating Margin of 9.35% and Return On Equity of 14.98% as well as examining its technical indicators and Probability Of Bankruptcy. In general, we support investing in undervalued entities and to dispose of overvalued entities since at some point stocks prices and their ongoing real values will merge together.
Valuation Drivers Correlation
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Reliance Steel Aluminum Co Valuation Data Drivers
Net Income Per Employee    Enterprise Value    Market Capitalization    
Reliance Steel Market Cap
Reliance Steel Aluminum Co is rated below average in market capitalization category among related companies. Market capitalization of Non-ferrous Metals Production And Products industry is at this time estimated at about 97.34 Billion. Reliance Steel holds roughly 6.56 Billion in market capitalization claiming about 7% of all equities under Non-ferrous Metals Production And Products industry.
Capitalization  Total debt  Valuation  Workforce  Revenue
 Time Horizon     30 Days    Login   to change
Reliance Steel Aluminum Co is rated below average in price to book category among related companies. It is rated below average in beta category among related companies totaling about  0.80  of Beta per Price to Book. The ratio of Price to Book to Beta for Reliance Steel Aluminum Co is roughly  1.25 

Current Market Valuation

Reliance Steel Aluminum Valuation Boundaries
Fairly Valued
July 23, 2018
Market Value
Real Value
Target Odds
Reliance Steel is not too risky asset. Calculation of real value of Reliance Steel Aluminum is based on 1 month time horizon. Increasing Reliance Steel Aluminum time horizon generally increases accuracy of value calculation and significantly improves predictive power of the methodology used.
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