AlphaStocks

ARES vs BNY

As of Sep 20, 2026, Ares Management (ARES) scores 3.8/10 and Bank of New York Mellon (BNY) 8.1/10 on AlphaStocks' five-model composite, so BNY scores higher. BNY trades 3% above its model fair value.

ARES

Ares Management Corp

3.8

Weak

$123.86

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$153.81

ARES vs BNY: Which is the Better Investment?

Ares Management Corp (ARES) scores 3.8/10 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 19.9x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricARESBNY
Scores & Fundamentals
Composite Score3.8/108.1/10
RatingWeakStrong Buy
Price$123.86$153.81
P/E Ratio76.819.9
ROE11.8%12.6%
Market Cap$41B$107B
Fair Value$148.97
Dividend Yield1.5%
Sector Rank#234 of 265#4 of 265
Model Verdicts
PiotroskiAttractiveStrong
BuffettCautionStrong
GrahamCautionNeutral
LynchCautionNeutral
GreenblattCautionCaution
View full ARESanalysis →View full BNYanalysis →

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ARES vs BNY: Which Stock Scores Higher?

Ares Management Corp (ARES) and Bank of New York Mellon Corp (BNY) are both in the Financials sector. BNY currently leads with a composite score of 8.1/10 (Strong Buy) compared to ARES's 3.8/10 (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