AlphaStocks

DMC vs SMPL

As of Sep 20, 2026, Del Monte (DMC) scores 7.5/10 and Simply Good Foods (SMPL) 3.0/10 on AlphaStocks' five-model composite, so DMC scores higher. DMC trades 24% below its model fair value.

DMC

DEL MONTE CORP

7.5

Strong Buy

$30.38

SMPL

Simply Good Foods Co

3.0

Weak

$10.12

DMC vs SMPL: Which is the Better Investment?

DEL MONTE CORP (DMC) scores 7.5/10 while Simply Good Foods Co (SMPL) scores 3.0/10 on AlphaStocks' composite model. DEL MONTE CORP has the higher composite rating of Strong 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.

MetricDMCSMPL
Scores & Fundamentals
Composite Score7.5/103.0/10
RatingStrong BuyWeak
Price$30.38$10.12
P/E Ratio15.79.9
ROE4.6%5.7%
Market Cap$1B$910.2M
Fair Value$39.91
Dividend Yield4.2%
Sector Rank#2 of 78#69 of 77
Model Verdicts
PiotroskiStrongAttractive
BuffettAttractiveNeutral
GrahamAttractiveAttractive
LynchNeutralNeutral
GreenblattCautionStrong
View full DMCanalysis →View full SMPLanalysis →

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DMC vs SMPL: Which Stock Scores Higher?

DEL MONTE CORP (DMC) and Simply Good Foods Co (SMPL) are both in the Consumer Staples sector. DMC currently leads with a composite score of 7.5/10 (Strong 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