AlphaStocks

CART vs GO

As of Sep 20, 2026, Maplebear (CART) scores 4.5/10 and Grocery Outlet Holding (GO) 5.8/10 on AlphaStocks' five-model composite, so GO scores higher. CART trades 29% above its model fair value; GO trades 18% above its model fair value.

CART

Maplebear Inc.

4.5

Weak

$45.36

GO

Grocery Outlet Holding Corp.

5.8

Consider Buy

$11.24

CART vs GO: Which is the Better Investment?

Maplebear Inc. (CART) scores 4.5/10 while Grocery Outlet Holding Corp. (GO) scores 5.8/10 on AlphaStocks' composite model. Grocery Outlet Holding Corp. has the higher composite rating of Consider Buy.

This comparison is algorithmically generated and is not financial advice.

MetricCARTGO
Scores & Fundamentals
Composite Score4.5/105.8/10
RatingWeakConsider Buy
Price$45.36$11.24
P/E Ratio28.4
ROE6.4%-20.6%
Market Cap$12B$1B
Fair Value$35.17$9.50
Dividend Yield
Sector Rank#41 of 78#16 of 78
Model Verdicts
PiotroskiAttractiveAttractive
BuffettCautionNeutral
GrahamCautionCaution
LynchLimited DataAttractive
GreenblattLimited DataCaution
View full CARTanalysis →View full GOanalysis →

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CART vs GO: Which Stock Scores Higher?

Maplebear Inc. (CART) and Grocery Outlet Holding Corp. (GO) are both in the Consumer Staples sector. GO currently leads with a composite score of 5.8/10 (Consider Buy) compared to CART's 4.5/10 (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