AlphaStocks

AMP vs BNY

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

AMP

AMERIPRISE FINANCIAL INC

5.8

Consider Buy

$467.45

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$143.63

AMP vs BNY: Which is the Better Investment?

AMERIPRISE FINANCIAL INC (AMP) scores 5.8/10 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, AMERIPRISE FINANCIAL INC trades at 12.9x, making it the more attractively priced of the two. AMERIPRISE FINANCIAL INC offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricAMPBNY
Scores & Fundamentals
Composite Score5.8/108.1/10
RatingConsider BuyStrong Buy
Price$467.45$143.63
P/E Ratio12.918.6
ROE-29.5%12.6%
Market Cap$44B$100B
Fair Value$745.65$148.97
Dividend Yield1.3%1.7%
Sector Rank#31 of 94#2 of 94
Model Verdicts
PiotroskiAttractiveStrong
BuffettStrongStrong
GrahamNeutralNeutral
LynchAttractiveNeutral
GreenblattCautionCaution
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AMP vs BNY: Which Stock Scores Higher?

AMERIPRISE FINANCIAL INC (AMP) and Bank of New York Mellon Corp (BNY) 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 AMP's 5.8/10 (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