AlphaStocks

ANF vs BKE

As of Sep 20, 2026, Abercrombie & Fitch (ANF) scores 7.8/10 and Buckle (BKE) 3.5/10 on AlphaStocks' five-model composite, so ANF scores higher.

ANF

ABERCROMBIE & FITCH CO /DE/

7.8

Strong Buy

$135.82

BKE

BUCKLE INC

3.5

Weak

$40.34

ANF vs BKE: Which is the Better Investment?

ABERCROMBIE & FITCH CO /DE/ (ANF) scores 7.8/10 while BUCKLE INC (BKE) scores 3.5/10 on AlphaStocks' composite model. ABERCROMBIE & FITCH CO /DE/ has the higher composite rating of Strong Buy. On a P/E basis, BUCKLE INC trades at 9.8x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricANFBKE
Scores & Fundamentals
Composite Score7.8/103.5/10
RatingStrong BuyWeak
Price$135.82$40.34
P/E Ratio13.09.8
ROE37.3%44.8%
Market Cap$6B$2B
Fair Value
Dividend Yield9.9%
Sector Rank#6 of 194#151 of 194
Model Verdicts
PiotroskiAttractiveNeutral
BuffettAttractiveAttractive
GrahamNeutralNeutral
LynchStrongAttractive
GreenblattLimited DataLimited Data
View full ANFanalysis →View full BKEanalysis →

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ANF vs BKE: Which Stock Scores Higher?

ABERCROMBIE & FITCH CO /DE/ (ANF) and BUCKLE INC (BKE) are both in the Consumer Discretionary sector. ANF currently leads with a composite score of 7.8/10 (Strong Buy) compared to BKE's 3.5/10 (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