AlphaStocks

CACC vs SLM

As of Sep 20, 2026, Credit Acceptance (CACC) scores 1.5/10 and SLM Corp (SLM) 8.6/10 on AlphaStocks' five-model composite, so SLM scores higher. CACC trades 28% below its model fair value.

CACC

CREDIT ACCEPTANCE CORP

1.5

Avoid

$577.01

SLM

SLM Corp

8.6

Strong Buy

$25.12

CACC vs SLM: Which is the Better Investment?

CREDIT ACCEPTANCE CORP (CACC) scores 1.5/10 while SLM Corp (SLM) scores 8.6/10 on AlphaStocks' composite model. SLM Corp has the higher composite rating of Strong Buy. On a P/E basis, SLM Corp trades at 7.1x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCACCSLM
Scores & Fundamentals
Composite Score1.5/108.6/10
RatingAvoidStrong Buy
Price$577.01$25.12
P/E Ratio15.97.1
ROE27.3%16.1%
Market Cap$6B$5B
Fair Value$800.44
Dividend Yield
Sector Rank#251 of 265#1 of 265
Model Verdicts
PiotroskiLimited DataStrong
BuffettLimited DataStrong
GrahamLimited DataStrong
LynchNeutralAttractive
GreenblattLimited DataCaution
View full CACCanalysis →View full SLManalysis →

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CACC vs SLM: Which Stock Scores Higher?

CREDIT ACCEPTANCE CORP (CACC) and SLM Corp (SLM) are both in the Financials sector. SLM currently leads with a composite score of 8.6/10 (Strong Buy) compared to CACC's 1.5/10 (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