CAR vs PCTY
As of Sep 20, 2026, Avis Budget Group (CAR) scores 4.0/10 and Paylocity Holding (PCTY) 7.9/10 on AlphaStocks' five-model composite, so PCTY scores higher. PCTY trades 15% above its model fair value.
CAR
AVIS BUDGET GROUP, INC.
4.0
Weak
$119.21
PCTY
Paylocity Holding Corp
7.9
Strong Buy
$143.68
CAR vs PCTY: Which is the Better Investment?
AVIS BUDGET GROUP, INC. (CAR) scores 4.0/10 while Paylocity Holding Corp (PCTY) scores 7.9/10 on AlphaStocks' composite model. Paylocity Holding Corp has the higher composite rating of Strong Buy.
This comparison is algorithmically generated and is not financial advice.
| Metric | CAR | PCTY |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 4.0/10 | 7.9/10▲ |
| Rating | Weak | Strong Buy▲ |
| Price | $119.21 | $143.68 |
| P/E Ratio | — | 35.8 |
| ROE | 32.2%▲ | 18.6% |
| Market Cap | $4B | $8B |
| Fair Value | — | $124.78 |
| Dividend Yield | — | — |
| Sector Rank | #187 of 265 | #1 of 265▲ |
| Model Verdicts | ||
| Piotroski | Neutral | Strong▲ |
| Buffett | Neutral | Strong▲ |
| Graham | Neutral▲ | Caution |
| Lynch | Attractive | Strong▲ |
| Greenblatt | Caution | Neutral▲ |
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CAR vs PCTY: Which Stock Scores Higher?
AVIS BUDGET GROUP, INC. (CAR) and Paylocity Holding Corp (PCTY) are both in the Industrials sector. PCTY currently leads with a composite score of 7.9/10 (Strong Buy) compared to CAR's 4.0/10 (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