AlphaStocks

KBR vs SAIC

As of Sep 20, 2026, KBR, Inc. (KBR) scores 4.7/10 and Science Applications International (SAIC) 7.5/10 on AlphaStocks' five-model composite, so SAIC scores higher. SAIC trades 29% below its model fair value.

KBR

KBR, INC.

4.7

Weak

$35.54

SAIC

Science Applications International Corp

7.5

Strong Buy

$133.28

KBR vs SAIC: Which is the Better Investment?

KBR, INC. (KBR) scores 4.7/10 while Science Applications International Corp (SAIC) scores 7.5/10 on AlphaStocks' composite model. Science Applications International Corp has the higher composite rating of Strong Buy. On a P/E basis, KBR, INC. trades at 11.1x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricKBRSAIC
Scores & Fundamentals
Composite Score4.7/107.5/10
RatingWeakStrong Buy
Price$35.54$133.28
P/E Ratio11.117.3
ROE28.0%23.8%
Market Cap$5B$6B
Fair Value$187.57
Dividend Yield1.8%1.3%
Sector Rank#132 of 265#7 of 265
Model Verdicts
PiotroskiAttractiveAttractive
BuffettAttractiveStrong
GrahamCautionNeutral
LynchCautionNeutral
GreenblattStrongAttractive
View full KBRanalysis →View full SAICanalysis →

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KBR vs SAIC: Which Stock Scores Higher?

KBR, INC. (KBR) and Science Applications International Corp (SAIC) are both in the Industrials sector. SAIC currently leads with a composite score of 7.5/10 (Strong Buy) compared to KBR's 4.7/10 (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