AlphaStocks

MS vs SNEX

As of Sep 20, 2026, Morgan Stanley (MS) scores 6.9/10 and StoneX Group (SNEX) 4.3/10 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

SNEX

StoneX Group Inc.

4.3

Weak

$66.98

MS vs SNEX: Which is the Better Investment?

MORGAN STANLEY (MS) scores 6.9/10 while StoneX Group Inc. (SNEX) scores 4.3/10 on AlphaStocks' composite model. MORGAN STANLEY has the higher composite rating of Consider Buy. On a P/E basis, StoneX Group Inc. trades at 11.0x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricMSSNEX
Scores & Fundamentals
Composite Score6.9/104.3/10
RatingConsider BuyWeak
Price$202.56$66.98
P/E Ratio19.111.0
ROE15.2%14.0%
Market Cap$319B$5B
Fair Value$193.22
Dividend Yield1.9%
Sector Rank#52 of 265#212 of 265
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamNeutralNeutral
LynchCautionAttractive
GreenblattCautionLimited Data
View full MSanalysis →View full SNEXanalysis →

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MS vs SNEX: Which Stock Scores Higher?

MORGAN STANLEY (MS) and StoneX Group Inc. (SNEX) are both in the Financials sector. MS currently leads with a composite score of 6.9/10 (Consider Buy) compared to SNEX's 4.3/10 (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