AlphaStocks

CALM vs FLO

As of Sep 20, 2026, Cal-Maine Foods (CALM) scores 5.4/10 and Flowers Foods (FLO) 2.6/10 on AlphaStocks' five-model composite, so CALM scores higher.

CALM

CAL-MAINE FOODS INC

5.4

Consider Buy

$72.90

FLO

FLOWERS FOODS INC

2.6

Avoid

$5.92

CALM vs FLO: Which is the Better Investment?

CAL-MAINE FOODS INC (CALM) scores 5.4/10 while FLOWERS FOODS INC (FLO) scores 2.6/10 on AlphaStocks' composite model. CAL-MAINE FOODS INC has the higher composite rating of Consider Buy. On a P/E basis, CAL-MAINE FOODS INC trades at 2.9x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCALMFLO
Scores & Fundamentals
Composite Score5.4/102.6/10
RatingConsider BuyAvoid
Price$72.90$5.92
P/E Ratio2.915.0
ROE49.4%6.2%
Market Cap$3B$1B
Fair Value
Dividend Yield7.6%12.4%
Sector Rank#22 of 78#74 of 78
Model Verdicts
PiotroskiStrongNeutral
BuffettAttractiveNeutral
GrahamAttractiveNeutral
LynchStrongNeutral
GreenblattLimited DataAttractive
View full CALManalysis →View full FLOanalysis →

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CALM vs FLO: Which Stock Scores Higher?

CAL-MAINE FOODS INC (CALM) and FLOWERS FOODS INC (FLO) are both in the Consumer Staples sector. CALM currently leads with a composite score of 5.4/10 (Consider Buy) compared to FLO's 2.6/10 (Avoid).

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