AlphaStocks

BNY vs STEP

As of Sep 20, 2026, Bank of New York Mellon (BNY) scores 8.1/10 and StepStone Group (STEP) 4.2/10 on AlphaStocks' five-model composite, so BNY scores higher. BNY trades 3% above its model fair value; STEP trades 84% above its model fair value.

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$153.81

STEP

StepStone Group Inc.

4.2

Weak

$46.33

BNY vs STEP: Which is the Better Investment?

Bank of New York Mellon Corp (BNY) scores 8.1/10 while StepStone Group Inc. (STEP) scores 4.2/10 on AlphaStocks' composite model. Bank of New York Mellon Corp has the higher composite rating of Strong Buy.

This comparison is algorithmically generated and is not financial advice.

MetricBNYSTEP
Scores & Fundamentals
Composite Score8.1/104.2/10
RatingStrong BuyWeak
Price$153.81$46.33
P/E Ratio19.9
ROE12.6%135.2%
Market Cap$107B$4B
Fair Value$148.97$25.14
Dividend Yield1.5%3.5%
Sector Rank#4 of 265#221 of 265
Model Verdicts
PiotroskiStrongCaution
BuffettStrongNeutral
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattCautionCaution
View full BNYanalysis →View full STEPanalysis →

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BNY vs STEP: Which Stock Scores Higher?

Bank of New York Mellon Corp (BNY) and StepStone Group Inc. (STEP) are both in the Financials sector. BNY currently leads with a composite score of 8.1/10 (Strong Buy) compared to STEP's 4.2/10 (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