AlphaStocks

AXP vs BNY

AMERICAN EXPRESS CO vs Bank of New York Mellon Corp — Side-by-Side Stock Comparison

AXP

AMERICAN EXPRESS CO

4.5

Weak

$338.16

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$143.63

AXP vs BNY: Which is the Better Investment?

AMERICAN EXPRESS CO (AXP) scores 4.5/10 while Bank of New York Mellon Corp (BNY) scores 8.1/10 on AlphaStocks' composite model. Bank of New York Mellon Corp has the higher composite rating of Strong Buy. On a P/E basis, Bank of New York Mellon Corp trades at 18.6x, making it the more attractively priced of the two. AMERICAN EXPRESS CO offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricAXPBNY
Scores & Fundamentals
Composite Score4.5/108.1/10
RatingWeakStrong Buy
Price$338.16$143.63
P/E Ratio21.718.6
ROE32.9%12.6%
Market Cap$232B$100B
Fair Value$450.73$148.97
Dividend Yield1.0%1.7%
Sector Rank#66 of 94#2 of 94
Model Verdicts
PiotroskiStrongStrong
BuffettAttractiveStrong
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattCautionCaution
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AXP vs BNY: Which Stock Scores Higher?

AMERICAN EXPRESS CO (AXP) and Bank of New York Mellon Corp (BNY) 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 AXP'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