AlphaStocks

BNY vs SCHW

Bank of New York Mellon Corp vs SCHWAB CHARLES CORP — Side-by-Side Stock Comparison

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$143.63

SCHW

SCHWAB CHARLES CORP

5.5

Consider Buy

$91.70

BNY vs SCHW: Which is the Better Investment?

Bank of New York Mellon Corp (BNY) scores 8.1/10 while SCHWAB CHARLES CORP (SCHW) scores 5.5/10 on AlphaStocks' composite model. Bank of New York Mellon Corp has the higher composite rating of Strong Buy. On a P/E basis, Bank of New York Mellon Corp trades at 18.6x, making it the more attractively priced of the two. SCHWAB CHARLES CORP offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricBNYSCHW
Scores & Fundamentals
Composite Score8.1/105.5/10
RatingStrong BuyConsider Buy
Price$143.63$91.70
P/E Ratio18.618.7
ROE12.6%17.9%
Market Cap$100B$161B
Fair Value$148.97$95.15
Dividend Yield1.7%1.5%
Sector Rank#2 of 94#40 of 94
Model Verdicts
PiotroskiStrongStrong
BuffettStrongStrong
GrahamNeutralNeutral
LynchNeutralAttractive
GreenblattCautionCaution
View full BNYanalysis →View full SCHWanalysis →
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BNY vs SCHW: Which Stock Scores Higher?

Bank of New York Mellon Corp (BNY) and SCHWAB CHARLES CORP (SCHW) 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 SCHW's 5.5/10 (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