AlphaStocks

BNY vs EZPW

Bank of New York Mellon Corp vs EZCORP INC — Side-by-Side Stock Comparison

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$146.60

EZPW

EZCORP INC

7.0

Consider Buy

$35.59

BNY vs EZPW: Which is the Better Investment?

Bank of New York Mellon Corp (BNY) scores 8.1/10 while EZCORP INC (EZPW) 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, Bank of New York Mellon Corp trades at 18.9x, making it the more attractively priced of the two. Bank of New York Mellon Corp offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricBNYEZPW
Scores & Fundamentals
Composite Score8.1/107.0/10
RatingStrong BuyConsider Buy
Price$146.60$35.59
P/E Ratio18.927.1
ROE12.6%18.7%
Market Cap$102B$3B
Fair Value$148.97$30.14
Dividend Yield1.6%
Sector Rank#1 of 94#11 of 94
Model Verdicts
PiotroskiStrongStrong
BuffettStrongAttractive
GrahamNeutralNeutral
LynchNeutralStrong
GreenblattCautionNeutral
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BNY vs EZPW: Which Stock Scores Higher?

Bank of New York Mellon Corp (BNY) and EZCORP INC (EZPW) 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 EZPW'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