AlphaStocks

FAF vs MET

First American Financial Corp vs METLIFE INC — Side-by-Side Stock Comparison

FAF

First American Financial Corp

7.2

Consider Buy

$68.67

MET

METLIFE INC

5.2

Consider Buy

$85.56

FAF vs MET: Which is the Better Investment?

First American Financial Corp (FAF) scores 7.2/10 while METLIFE INC (MET) scores 5.2/10 on AlphaStocks' composite model. First American Financial Corp has the higher composite rating of Consider Buy. On a P/E basis, First American Financial Corp trades at 11.4x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricFAFMET
Scores & Fundamentals
Composite Score7.2/105.2/10
RatingConsider BuyConsider Buy
Price$68.67$85.56
P/E Ratio11.417.1
ROE11.5%11.8%
Market Cap$7B$56B
Fair Value$55.05$59.03
Dividend Yield3.1%2.8%
Sector Rank#4 of 51#30 of 51
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamStrongNeutral
LynchLimited DataLimited Data
GreenblattLimited DataLimited Data
View full FAFanalysis →View full METanalysis →
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FAF vs MET: Which Stock Scores Higher?

First American Financial Corp (FAF) and METLIFE INC (MET) are among the most compared stocks in the Financials sector. FAF currently leads with a composite score of 7.2/10 (Consider Buy) compared to MET's 5.2/10 (Consider Buy).

The AlphaStocks composite score evaluates each stock across four dimensions: Quality (business strength measured by Piotroski F-Score and Buffett quality criteria), Value (discount to intrinsic worth using Graham, Lynch, and Greenblatt models), Momentum (6-month price trend), and Timing (a confirmation signal that requires both value and momentum to align). A higher composite score indicates stronger overall fundamentals combined with favorable market conditions.

This comparison uses the same scoring framework for both companies, ensuring an apples-to-apples evaluation. Scores are recalculated daily after market close using data from SEC filings and market prices. Read the full methodology to understand how each model contributes to the composite score.

Scores are algorithm-generated research tools, not investment recommendations. Past performance does not guarantee future results. Always do your own due diligence. Full disclaimer