GAP vs URBN
As of Sep 20, 2026, GAP Inc (GAP) scores 4.0/10 and Urban Outfitters (URBN) 6.5/10 on AlphaStocks' five-model composite, so URBN scores higher.
GAP
GAP INC
4.0
Weak
$20.55
URBN
URBAN OUTFITTERS INC
6.5
Consider Buy
$74.98
GAP vs URBN: Which is the Better Investment?
GAP INC (GAP) scores 4.0/10 while URBAN OUTFITTERS INC (URBN) scores 6.5/10 on AlphaStocks' composite model. URBAN OUTFITTERS INC has the higher composite rating of Consider 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.
| Metric | GAP | URBN |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 4.0/10 | 6.5/10▲ |
| Rating | Weak | Consider Buy▲ |
| Price | $20.55 | $74.98 |
| P/E Ratio | 9.7▲ | 14.8 |
| ROE | 21.9%▲ | 16.8% |
| Market Cap | $8B | $7B |
| Fair Value | — | — |
| Dividend Yield | 3.0% | — |
| Sector Rank | #127 of 194 | #27 of 194▲ |
| Model Verdicts | ||
| Piotroski | Attractive | Strong▲ |
| Buffett | Attractive | Attractive |
| Graham | Neutral▲ | Caution |
| Lynch | Neutral | Attractive▲ |
| Greenblatt | Strong▲ | Limited Data |
Related comparisons
GAP vs URBN: Which Stock Scores Higher?
GAP INC (GAP) and URBAN OUTFITTERS INC (URBN) are both in the Consumer Discretionary sector. URBN currently leads with a composite score of 6.5/10 (Consider 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