MetLife Valuation

MET -- USA Stock  

USD 47.02  0.42  0.89%

MetLife secures last-minute Real Value of $51.46 per share. The latest price of the firm is $47.02. At this time the firm appears to be undervalued. This module forecasts value of MetLife from analyzing the firm fundamentals such as Return On Equity of 10.36%, Current Valuation of 114.84B and Profit Margin of 9.28% as well as examining its technical indicators and Probability Of Bankruptcy. In general, we recommend to purchase undervalued stocks and to get rid of overvalued stocks since at some point entities prices and their ongoing real values will merge together.
September 22, 2019
Market Value
Real Value
MetLife is very steady asset. Calculation of real value of MetLife is based on 3 months time horizon. Increasing MetLife time horizon generally increases accuracy of value calculation and significantly improves predictive power of the methodology used.

Valuation Drivers Correlation

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MetLife Valuation Data Drivers
Net Income Per Employee    Enterprise Value    Market Capitalization    

MetLife Market Cap

MetLife is considered to be number one stock in market capitalization category among related companies. Market capitalization of Insurance - Life industry is now estimated at about 106.46 Billion. MetLife totals roughly 44.82 Billion in market capitalization claiming about 42% of equities under Insurance - Life industry.
Capitalization  Total debt  Valuation  Workforce  Revenue
Horizon     30 Days    Login   to change
MetLife is rated below average in price to sales category among related companies. It is rated below average in price to book category among related companies fabricating about  1.03  of Price to Book per Price to Sales.

Valuation Basics

MetLife Enterprise Value Fundamentals

Quick Ratio0.90
Earnings Quarterly Growth95.40%
Revenue Growth-17.40%
Payout Ratio28.05%
Enterprise Value To Ebitda12.88
Earnings Growth113.30%
Enterprise Value To Revenue1.75
Please see also Stocks Correlation. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.