AlphaStocks

MS vs SF

As of Sep 20, 2026, Morgan Stanley (MS) scores 6.9/10 and Stifel Financial (SF) 5.6/10 on AlphaStocks' five-model composite, so MS scores higher. MS trades 5% above its model fair value.

MS

MORGAN STANLEY

6.9

Consider Buy

$202.56

SF

STIFEL FINANCIAL CORP

5.6

Consider Buy

$75.81

MS vs SF: Which is the Better Investment?

MORGAN STANLEY (MS) scores 6.9/10 while STIFEL FINANCIAL CORP (SF) scores 5.6/10 on AlphaStocks' composite model. MORGAN STANLEY has the higher composite rating of Consider Buy. On a P/E basis, STIFEL FINANCIAL CORP trades at 12.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricMSSF
Scores & Fundamentals
Composite Score6.9/105.6/10
RatingConsider BuyConsider Buy
Price$202.56$75.81
P/E Ratio19.112.2
ROE15.2%11.7%
Market Cap$319B$12B
Fair Value$193.22
Dividend Yield1.9%
Sector Rank#52 of 265#157 of 265
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamNeutralNeutral
LynchCautionNeutral
GreenblattCautionCaution
View full MSanalysis →View full SFanalysis →

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MS vs SF: Which Stock Scores Higher?

MORGAN STANLEY (MS) and STIFEL FINANCIAL CORP (SF) are both in the Financials sector. MS currently leads with a composite score of 6.9/10 (Consider Buy) compared to SF's 5.6/10 (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