AlphaStocks

URBN vs VSXY

As of Sep 20, 2026, Urban Outfitters (URBN) scores 6.5/10 and Victoria's Secret (VSXY) 4.7/10 on AlphaStocks' five-model composite, so URBN scores higher. VSXY trades 67% above its model fair value.

URBN

URBAN OUTFITTERS INC

6.5

Consider Buy

$74.98

VSXY

Victoria's Secret & Co.

4.7

Weak

$78.02

URBN vs VSXY: Which is the Better Investment?

URBAN OUTFITTERS INC (URBN) scores 6.5/10 while Victoria's Secret & Co. (VSXY) scores 4.7/10 on AlphaStocks' composite model. URBAN OUTFITTERS INC has the higher composite rating of Consider Buy. On a P/E basis, URBAN OUTFITTERS INC trades at 14.8x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricURBNVSXY
Scores & Fundamentals
Composite Score6.5/104.7/10
RatingConsider BuyWeak
Price$74.98$78.02
P/E Ratio14.840.2
ROE16.8%21.3%
Market Cap$7B$7B
Fair Value$46.65
Dividend Yield
Sector Rank#27 of 194#94 of 194
Model Verdicts
PiotroskiStrongAttractive
BuffettAttractiveNeutral
GrahamCautionCaution
LynchAttractiveCaution
GreenblattLimited DataNeutral
View full URBNanalysis →View full VSXYanalysis →

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URBN vs VSXY: Which Stock Scores Higher?

URBAN OUTFITTERS INC (URBN) and Victoria's Secret & Co. (VSXY) are both in the Consumer Discretionary sector. URBN currently leads with a composite score of 6.5/10 (Consider Buy) compared to VSXY's 4.7/10 (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