AlphaStocks

BNY vs FIS

Bank of New York Mellon Corp vs Fidelity National Information Services, Inc. — Side-by-Side Stock Comparison

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$146.60

FIS

Fidelity National Information Services, Inc.

3.5

Weak

$41.79

BNY vs FIS: Which is the Better Investment?

Bank of New York Mellon Corp (BNY) scores 8.1/10 while Fidelity National Information Services, Inc. (FIS) scores 3.5/10 on AlphaStocks' composite model. Bank of New York Mellon Corp has the higher composite rating of Strong Buy. Bank of New York Mellon Corp offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricBNYFIS
Scores & Fundamentals
Composite Score8.1/103.5/10
RatingStrong BuyWeak
Price$146.60$41.79
P/E Ratio18.9
ROE12.6%-3.8%
Market Cap$102B$22B
Fair Value$148.97$41.90
Dividend Yield1.6%3.9%
Sector Rank#1 of 94#79 of 94
Model Verdicts
PiotroskiStrongCaution
BuffettStrongAttractive
GrahamNeutralNeutral
LynchNeutralLimited Data
GreenblattCautionAttractive
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BNY vs FIS: Which Stock Scores Higher?

Bank of New York Mellon Corp (BNY) and Fidelity National Information Services, Inc. (FIS) 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 FIS's 3.5/10 (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