AlphaStocks

DKS vs SIG

As of Sep 20, 2026, Dick's Sporting Goods (DKS) scores 2.4/10 and Signet Jewelers (SIG) 7.9/10 on AlphaStocks' five-model composite, so SIG scores higher.

DKS

DICK'S SPORTING GOODS, INC.

2.4

Avoid

$121.17

SIG

SIGNET JEWELERS LTD

7.9

Strong Buy

$100.35

DKS vs SIG: Which is the Better Investment?

DICK'S SPORTING GOODS, INC. (DKS) scores 2.4/10 while SIGNET JEWELERS LTD (SIG) scores 7.9/10 on AlphaStocks' composite model. SIGNET JEWELERS LTD has the higher composite rating of Strong Buy. On a P/E basis, DICK'S SPORTING GOODS, INC. trades at 12.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricDKSSIG
Scores & Fundamentals
Composite Score2.4/107.9/10
RatingAvoidStrong Buy
Price$121.17$100.35
P/E Ratio12.214.2
ROE12.5%7.6%
Market Cap$11B$4B
Fair Value
Dividend Yield2.2%1.4%
Sector Rank#182 of 194#3 of 194
Model Verdicts
PiotroskiNeutralStrong
BuffettNeutralStrong
GrahamNeutralAttractive
LynchNeutralStrong
GreenblattAttractiveStrong
View full DKSanalysis →View full SIGanalysis →

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DKS vs SIG: Which Stock Scores Higher?

DICK'S SPORTING GOODS, INC. (DKS) and SIGNET JEWELERS LTD (SIG) are both in the Consumer Discretionary sector. SIG currently leads with a composite score of 7.9/10 (Strong Buy) compared to DKS's 2.4/10 (Avoid).

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