AlphaStocks

PYPL vs V

As of Sep 20, 2026, PayPal Holdings (PYPL) scores 7.3/10 and Visa Inc. (V) 6.5/10 on AlphaStocks' five-model composite, so PYPL scores higher. V trades 10% above its model fair value.

PYPL

PayPal Holdings, Inc.

7.3

Consider Buy

$52.42

V

VISA INC.

6.5

Consider Buy

$367.63

PYPL vs V: Which is the Better Investment?

PayPal Holdings, Inc. (PYPL) scores 7.3/10 while VISA INC. (V) scores 6.5/10 on AlphaStocks' composite model. PayPal Holdings, Inc. has the higher composite rating of Consider Buy. On a P/E basis, PayPal Holdings, Inc. trades at 9.7x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricPYPLV
Scores & Fundamentals
Composite Score7.3/106.5/10
RatingConsider BuyConsider Buy
Price$52.42$367.63
P/E Ratio9.736.0
ROE-16.2%52.4%
Market Cap$48B$704B
Fair Value$333.93
Dividend Yield0.7%
Sector Rank#31 of 265#84 of 265
Model Verdicts
PiotroskiAttractiveAttractive
BuffettAttractiveAttractive
GrahamNeutralNeutral
LynchStrongNeutral
GreenblattStrongNeutral
View full PYPLanalysis →View full Vanalysis →

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PYPL vs V: Which Stock Scores Higher?

PayPal Holdings, Inc. (PYPL) and VISA INC. (V) are both in the Financials sector. PYPL currently leads with a composite score of 7.3/10 (Consider Buy) compared to V's 6.5/10 (Consider Buy).

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