AlphaStocks

FNF vs SIGI

Fidelity National Financial, Inc. vs SELECTIVE INSURANCE GROUP INC — Side-by-Side Stock Comparison

FNF

Fidelity National Financial, Inc.

4.1

Weak

$49.51

SIGI

SELECTIVE INSURANCE GROUP INC

7.5

Strong Buy

$89.61

FNF vs SIGI: Which is the Better Investment?

Fidelity National Financial, Inc. (FNF) scores 4.1/10 while SELECTIVE INSURANCE GROUP INC (SIGI) scores 7.5/10 on AlphaStocks' composite model. SELECTIVE INSURANCE GROUP INC has the higher composite rating of Strong Buy. On a P/E basis, SELECTIVE INSURANCE GROUP INC trades at 10.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricFNFSIGI
Scores & Fundamentals
Composite Score4.1/107.5/10
RatingWeakStrong Buy
Price$49.51$89.61
P/E Ratio22.410.2
ROE7.6%15.1%
Market Cap$13B$5B
Fair Value$40.01$87.80
Dividend Yield4.0%1.8%
Sector Rank#45 of 50#3 of 50
Model Verdicts
PiotroskiNeutralStrong
BuffettAttractiveStrong
GrahamNeutralAttractive
LynchLimited DataLimited Data
GreenblattLimited DataLimited Data
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FNF vs SIGI: Which Stock Scores Higher?

Fidelity National Financial, Inc. (FNF) and SELECTIVE INSURANCE GROUP INC (SIGI) are among the most compared stocks in the Financials sector. SIGI currently leads with a composite score of 7.5/10 (Strong Buy) compared to FNF's 4.1/10 (Weak).

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