AlphaStocks

JBL vs SANM

As of Sep 20, 2026, Jabil (JBL) scores 4.9/10 and Sanmina (SANM) 6.6/10 on AlphaStocks' five-model composite, so SANM scores higher. JBL trades 43% above its model fair value; SANM trades 48% above its model fair value.

JBL

JABIL INC

4.9

Weak

$299.52

SANM

SANMINA CORP

6.6

Consider Buy

$199.85

JBL vs SANM: Which is the Better Investment?

JABIL INC (JBL) scores 4.9/10 while SANMINA CORP (SANM) scores 6.6/10 on AlphaStocks' composite model. SANMINA CORP has the higher composite rating of Consider Buy. On a P/E basis, SANMINA CORP trades at 44.9x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricJBLSANM
Scores & Fundamentals
Composite Score4.9/106.6/10
RatingWeakConsider Buy
Price$299.52$199.85
P/E Ratio50.644.9
ROE47.0%5.4%
Market Cap$32B$11B
Fair Value$209.07$134.95
Dividend Yield
Sector Rank#123 of 205#47 of 205
Model Verdicts
PiotroskiAttractiveAttractive
BuffettAttractiveAttractive
GrahamCautionCaution
LynchCautionAttractive
GreenblattCautionNeutral
View full JBLanalysis →View full SANManalysis →

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JBL vs SANM: Which Stock Scores Higher?

JABIL INC (JBL) and SANMINA CORP (SANM) are both in the Information Technology sector. SANM currently leads with a composite score of 6.6/10 (Consider Buy) compared to JBL's 4.9/10 (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