SL Green Valuation Overview

SLG -- USA Stock  

USD 101.66  2.35  2.37%

SL Green Realty owns latest Real Value of $110.061 per share. The recent price of the company is $101.66. At this time the company appears to be under valued. Macroaxis measures value of SL Green Realty from examining the company fundamentals such as Profit Margin of 13.96%, Return On Equity of 2.71% and Current Valuation of 14.23B as well as evaluating its technical indicators and Probability Of Bankruptcy. In general, we recommend to invest in undervalued equities and to dispose of overvalued equities since sooner or later instruments prices and their ongoing real values will merge together.
Valuation Drivers Correlation
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SL Green Realty Corp Valuation Data Drivers
Net Income Per Employee    Enterprise Value    Market Capitalization    
SL Green Market Cap
SL Green Realty Corp is rated below average in market capitalization category among related companies. Market capitalization of Office Commercial And Industrial Real Estate industry is at this time estimated at about 54.61 Billion. SL Green retains roughly 9.5 Billion in market capitalization claiming about 17% of all equities under Office Commercial And Industrial Real Estate industry.
Capitalization  Total debt  Valuation  Revenue  Workforce
 Time Horizon     30 Days    Login   to change
SL Green Realty Corp is rated below average in last dividend paid category among related companies. It is rated below average in price to book category among related companies fabricating about  0.45  of Price to Book per Last Dividend Paid. The ratio of Last Dividend Paid to Price to Book for SL Green Realty Corp is roughly  2.24 

Current Market Valuation

SL Green Realty Valuation Boundaries
Under Valued
July 22, 2018
101.66
Market Value
110.06
Real Value
Target Odds
  
112.70
Upside
SL Green is not too risky asset. Calculation of real value of SL Green Realty is based on 1 month time horizon. Increasing SL Green Realty time horizon generally increases accuracy of value calculation and significantly improves predictive power of the methodology used.
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