AlphaStocks

CART vs KR

As of Sep 20, 2026, Maplebear (CART) scores 4.5/10 and Kroger (KR) 3.7/10 on AlphaStocks' five-model composite, so CART scores higher. CART trades 29% above its model fair value; KR trades 36% above its model fair value.

CART

Maplebear Inc.

4.5

Weak

$45.36

KR

KROGER CO

3.7

Weak

$60.04

CART vs KR: Which is the Better Investment?

Maplebear Inc. (CART) scores 4.5/10 while KROGER CO (KR) scores 3.7/10 on AlphaStocks' composite model. Maplebear Inc. has the higher composite rating of Weak. On a P/E basis, Maplebear Inc. trades at 28.4x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCARTKR
Scores & Fundamentals
Composite Score4.5/103.7/10
RatingWeakWeak
Price$45.36$60.04
P/E Ratio28.438.7
ROE6.4%15.7%
Market Cap$12B$37B
Fair Value$35.17$44.13
Dividend Yield2.3%
Sector Rank#41 of 78#58 of 78
Model Verdicts
PiotroskiAttractiveAttractive
BuffettCautionAttractive
GrahamCautionCaution
LynchLimited DataCaution
GreenblattLimited DataCaution
View full CARTanalysis →View full KRanalysis →

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CART vs KR: Which Stock Scores Higher?

Maplebear Inc. (CART) and KROGER CO (KR) are both in the Consumer Staples sector. CART currently leads with a composite score of 4.5/10 (Weak) compared to KR's 3.7/10 (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