AlphaStocks

ACI vs CART

As of Sep 20, 2026, Albertsons Companies (ACI) scores 1.9/10 and Maplebear (CART) 4.5/10 on AlphaStocks' five-model composite, so CART scores higher. CART trades 29% above its model fair value.

ACI

Albertsons Companies, Inc.

1.9

Avoid

$12.36

CART

Maplebear Inc.

4.5

Weak

$45.36

ACI vs CART: Which is the Better Investment?

Albertsons Companies, Inc. (ACI) scores 1.9/10 while Maplebear Inc. (CART) scores 4.5/10 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.

MetricACICART
Scores & Fundamentals
Composite Score1.9/104.5/10
RatingAvoidWeak
Price$12.36$45.36
P/E Ratio31.128.4
ROE9.2%6.4%
Market Cap$7B$12B
Fair Value$35.17
Dividend Yield4.0%
Sector Rank#77 of 78#41 of 78
Model Verdicts
PiotroskiAttractiveAttractive
BuffettCautionCaution
GrahamCautionCaution
LynchNeutralLimited Data
GreenblattCautionLimited Data
View full ACIanalysis →View full CARTanalysis →

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ACI vs CART: Which Stock Scores Higher?

Albertsons Companies, Inc. (ACI) and Maplebear Inc. (CART) are both in the Consumer Staples sector. CART currently leads with a composite score of 4.5/10 (Weak) compared to ACI's 1.9/10 (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