AlphaStocks

ANF vs GAP

As of Sep 20, 2026, Abercrombie & Fitch (ANF) scores 7.8/10 and GAP Inc (GAP) 4.0/10 on AlphaStocks' five-model composite, so ANF scores higher.

ANF

ABERCROMBIE & FITCH CO /DE/

7.8

Strong Buy

$135.82

GAP

GAP INC

4.0

Weak

$20.55

ANF vs GAP: Which is the Better Investment?

ABERCROMBIE & FITCH CO /DE/ (ANF) scores 7.8/10 while GAP INC (GAP) scores 4.0/10 on AlphaStocks' composite model. ABERCROMBIE & FITCH CO /DE/ has the higher composite rating of Strong Buy. On a P/E basis, GAP INC trades at 9.7x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricANFGAP
Scores & Fundamentals
Composite Score7.8/104.0/10
RatingStrong BuyWeak
Price$135.82$20.55
P/E Ratio13.09.7
ROE37.3%21.9%
Market Cap$6B$8B
Fair Value
Dividend Yield3.0%
Sector Rank#6 of 194#127 of 194
Model Verdicts
PiotroskiAttractiveAttractive
BuffettAttractiveAttractive
GrahamNeutralNeutral
LynchStrongNeutral
GreenblattLimited DataStrong
View full ANFanalysis →View full GAPanalysis →

Related comparisons

Compare any two stocks →

ANF vs GAP: Which Stock Scores Higher?

ABERCROMBIE & FITCH CO /DE/ (ANF) and GAP INC (GAP) are both in the Consumer Discretionary sector. ANF currently leads with a composite score of 7.8/10 (Strong Buy) compared to GAP's 4.0/10 (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