BNY vs PYPL
Bank of New York Mellon Corp vs PayPal Holdings, Inc. — Side-by-Side Stock Comparison
BNY
Bank of New York Mellon Corp
8.1
Strong Buy
$143.63
PYPL
PayPal Holdings, Inc.
4.5
Weak
$42.48
BNY vs PYPL: Which is the Better Investment?
Bank of New York Mellon Corp (BNY) scores 8.1/10 while PayPal Holdings, Inc. (PYPL) scores 4.5/10 on AlphaStocks' composite model. Bank of New York Mellon Corp has the higher composite rating of Strong Buy. On a P/E basis, PayPal Holdings, Inc. trades at 7.9x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | BNY | PYPL |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 8.1/10▲ | 4.5/10 |
| Rating | Strong Buy▲ | Weak |
| Price | $143.63 | $42.48 |
| P/E Ratio | 18.6 | 7.9▲ |
| ROE | 12.6%▲ | -16.2% |
| Market Cap | $100B | $39B |
| Fair Value | $148.97 | — |
| Dividend Yield | 1.7% | — |
| Sector Rank | #2 of 94▲ | #67 of 94 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Attractive |
| Buffett | Strong▲ | Attractive |
| Graham | Neutral | Neutral |
| Lynch | Neutral | Strong▲ |
| Greenblatt | Caution | Strong▲ |
BNY vs PYPL: Which Stock Scores Higher?
Bank of New York Mellon Corp (BNY) and PayPal Holdings, Inc. (PYPL) are among the most compared stocks in the Financials sector. BNY currently leads with a composite score of 8.1/10 (Strong Buy) compared to PYPL's 4.5/10 (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