AlphaStocks

BNY vs STT

Bank of New York Mellon Corp vs STATE STREET CORP — Side-by-Side Stock Comparison

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$143.63

STT

STATE STREET CORP

7.0

Consider Buy

$168.31

BNY vs STT: Which is the Better Investment?

Bank of New York Mellon Corp (BNY) scores 8.1/10 while STATE STREET CORP (STT) scores 7.0/10 on AlphaStocks' composite model. Bank of New York Mellon Corp has the higher composite rating of Strong Buy. On a P/E basis, STATE STREET CORP trades at 16.5x, making it the more attractively priced of the two. STATE STREET CORP offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricBNYSTT
Scores & Fundamentals
Composite Score8.1/107.0/10
RatingStrong BuyConsider Buy
Price$143.63$168.31
P/E Ratio18.616.5
ROE12.6%9.5%
Market Cap$100B$48B
Fair Value$148.97$205.34
Dividend Yield1.7%2.5%
Sector Rank#2 of 94#12 of 94
Model Verdicts
PiotroskiStrongStrong
BuffettStrongStrong
GrahamNeutralNeutral
LynchNeutralCaution
GreenblattCautionCaution
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BNY vs STT: Which Stock Scores Higher?

Bank of New York Mellon Corp (BNY) and STATE STREET CORP (STT) 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 STT's 7.0/10 (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