AlphaStocks

BNY vs IVZ

As of Sep 20, 2026, Bank of New York Mellon (BNY) scores 8.1/10 and Invesco (IVZ) 5.2/10 on AlphaStocks' five-model composite, so BNY scores higher. BNY trades 3% above its model fair value; IVZ trades 53% above its model fair value.

BNY

Bank of New York Mellon Corp

8.1

Strong Buy

$153.81

IVZ

Invesco Ltd.

5.2

Consider Buy

$30.52

BNY vs IVZ: Which is the Better Investment?

Bank of New York Mellon Corp (BNY) scores 8.1/10 while Invesco Ltd. (IVZ) scores 5.2/10 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.

MetricBNYIVZ
Scores & Fundamentals
Composite Score8.1/105.2/10
RatingStrong BuyConsider Buy
Price$153.81$30.52
P/E Ratio19.9
ROE12.6%-5.5%
Market Cap$107B$14B
Fair Value$148.97$19.90
Dividend Yield1.5%2.9%
Sector Rank#4 of 265#171 of 265
Model Verdicts
PiotroskiStrongCaution
BuffettStrongNeutral
GrahamNeutralNeutral
LynchNeutralAttractive
GreenblattCautionCaution
View full BNYanalysis →View full IVZanalysis →

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BNY vs IVZ: Which Stock Scores Higher?

Bank of New York Mellon Corp (BNY) and Invesco Ltd. (IVZ) are both in the Financials sector. BNY currently leads with a composite score of 8.1/10 (Strong Buy) compared to IVZ's 5.2/10 (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