AlphaStocks

CPB vs SMPL

As of Sep 20, 2026, CAMPBELL'S (CPB) scores 5.9/10 and Simply Good Foods (SMPL) 3.0/10 on AlphaStocks' five-model composite, so CPB scores higher.

CPB

CAMPBELL'S Co

5.9

Consider Buy

$20.68

SMPL

Simply Good Foods Co

3.0

Weak

$10.12

CPB vs SMPL: Which is the Better Investment?

CAMPBELL'S Co (CPB) scores 5.9/10 while Simply Good Foods Co (SMPL) scores 3.0/10 on AlphaStocks' composite model. CAMPBELL'S Co has the higher composite rating of Consider Buy. On a P/E basis, Simply Good Foods Co trades at 9.9x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCPBSMPL
Scores & Fundamentals
Composite Score5.9/103.0/10
RatingConsider BuyWeak
Price$20.68$10.12
P/E Ratio10.39.9
ROE15.5%5.7%
Market Cap$6B$910.2M
Fair Value
Dividend Yield7.1%
Sector Rank#13 of 78#69 of 77
Model Verdicts
PiotroskiStrongAttractive
BuffettAttractiveNeutral
GrahamNeutralAttractive
LynchNeutralNeutral
GreenblattStrongStrong
View full CPBanalysis →View full SMPLanalysis →

Related comparisons

Compare any two stocks →

CPB vs SMPL: Which Stock Scores Higher?

CAMPBELL'S Co (CPB) and Simply Good Foods Co (SMPL) are both in the Consumer Staples sector. CPB currently leads with a composite score of 5.9/10 (Consider Buy) compared to SMPL's 3.0/10 (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