EQH vs SLM
As of Sep 20, 2026, Equitable Holdings (EQH) scores 0.5/10 and SLM Corp (SLM) 8.6/10 on AlphaStocks' five-model composite, so SLM scores higher. EQH trades 37% below its model fair value.
EQH
Equitable Holdings, Inc.
0.5
Avoid
$53.97
SLM
SLM Corp
8.6
Strong Buy
$25.12
EQH vs SLM: Which is the Better Investment?
Equitable Holdings, Inc. (EQH) scores 0.5/10 while SLM Corp (SLM) scores 8.6/10 on AlphaStocks' composite model. SLM Corp has the higher composite rating of Strong Buy.
This comparison is algorithmically generated and is not financial advice.
| Metric | EQH | SLM |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 0.5/10 | 8.6/10▲ |
| Rating | Avoid | Strong Buy▲ |
| Price | $53.97 | $25.12 |
| P/E Ratio | — | 7.1 |
| ROE | -3729.7% | 16.1%▲ |
| Market Cap | $15B | $5B |
| Fair Value | $86.07 | — |
| Dividend Yield | 2.2% | — |
| Sector Rank | #257 of 265 | #1 of 265▲ |
| Model Verdicts | ||
| Piotroski | Limited Data | Strong▲ |
| Buffett | Limited Data | Strong▲ |
| Graham | Limited Data | Strong▲ |
| Lynch | Limited Data | Attractive▲ |
| Greenblatt | Caution | Caution |
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EQH vs SLM: Which Stock Scores Higher?
Equitable Holdings, Inc. (EQH) 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 EQH's 0.5/10 (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