GPI vs LAD
As of Sep 20, 2026, Group 1 Automotive (GPI) scores 3.0/10 and Lithia Motors (LAD) 7.6/10 on AlphaStocks' five-model composite, so LAD scores higher.
GPI
GROUP 1 AUTOMOTIVE INC
3.0
Weak
$246.82
LAD
LITHIA MOTORS INC
7.6
Strong Buy
$315.73
GPI vs LAD: Which is the Better Investment?
GROUP 1 AUTOMOTIVE INC (GPI) scores 3.0/10 while LITHIA MOTORS INC (LAD) scores 7.6/10 on AlphaStocks' composite model. LITHIA MOTORS INC has the higher composite rating of Strong Buy. On a P/E basis, GROUP 1 AUTOMOTIVE INC trades at 9.7x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | GPI | LAD |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 3.0/10 | 7.6/10▲ |
| Rating | Weak | Strong Buy▲ |
| Price | $246.82 | $315.73 |
| P/E Ratio | 9.7▲ | 9.8 |
| ROE | 7.4% | 12.3%▲ |
| Market Cap | $3B | $7B |
| Fair Value | — | — |
| Dividend Yield | 0.7% | 0.7%▲ |
| Sector Rank | #167 of 194 | #8 of 194▲ |
| Model Verdicts | ||
| Piotroski | Attractive▲ | Neutral |
| Buffett | Caution | Attractive▲ |
| Graham | Attractive | Attractive |
| Lynch | Neutral | Neutral |
| Greenblatt | Neutral▲ | Caution |
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GPI vs LAD: Which Stock Scores Higher?
GROUP 1 AUTOMOTIVE INC (GPI) and LITHIA MOTORS INC (LAD) are both in the Consumer Discretionary sector. LAD currently leads with a composite score of 7.6/10 (Strong Buy) compared to GPI'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