SLM vs SYF
As of Sep 20, 2026, SLM Corp (SLM) scores 8.6/10 and Synchrony Financial (SYF) 7.7/10 on AlphaStocks' five-model composite, so SLM scores higher.
SLM
SLM Corp
8.6
Strong Buy
$25.12
SYF
Synchrony Financial
7.7
Strong Buy
$75.06
SLM vs SYF: Which is the Better Investment?
SLM Corp (SLM) scores 8.6/10 while Synchrony Financial (SYF) scores 7.7/10 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.
| Metric | SLM | SYF |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 8.6/10▲ | 7.7/10 |
| Rating | Strong Buy▲ | Strong Buy |
| Price | $25.12 | $75.06 |
| P/E Ratio | 7.1▲ | 7.9 |
| ROE | 16.1%▲ | 14.6% |
| Market Cap | $5B | $26B |
| Fair Value | — | — |
| Dividend Yield | — | 1.6% |
| Sector Rank | #1 of 265▲ | #17 of 265 |
| Model Verdicts | ||
| Piotroski | Strong | Strong |
| Buffett | Strong | Strong |
| Graham | Strong | Strong |
| Lynch | Attractive | Attractive |
| Greenblatt | Caution | Neutral▲ |
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SLM vs SYF: Which Stock Scores Higher?
SLM Corp (SLM) and Synchrony Financial (SYF) are both in the Financials sector. SLM currently leads with a composite score of 8.6/10 (Strong Buy) compared to SYF's 7.7/10 (Strong Buy).
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