AlphaStocks

SLM vs VOYA

As of Sep 20, 2026, SLM Corp (SLM) scores 8.6/10 and Voya Financial (VOYA) 6.8/10 on AlphaStocks' five-model composite, so SLM scores higher. VOYA trades 49% above its model fair value.

SLM

SLM Corp

8.6

Strong Buy

$25.12

VOYA

Voya Financial, Inc.

6.8

Consider Buy

$101.66

SLM vs VOYA: Which is the Better Investment?

SLM Corp (SLM) scores 8.6/10 while Voya Financial, Inc. (VOYA) scores 6.8/10 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.

MetricSLMVOYA
Scores & Fundamentals
Composite Score8.6/106.8/10
RatingStrong BuyConsider Buy
Price$25.12$101.66
P/E Ratio7.115.1
ROE16.1%13.2%
Market Cap$5B$10B
Fair Value$68.12
Dividend Yield1.9%
Sector Rank#1 of 265#60 of 265
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamStrongAttractive
LynchAttractiveNeutral
GreenblattCautionCaution
View full SLManalysis →View full VOYAanalysis →

Related comparisons

Compare any two stocks →

SLM vs VOYA: Which Stock Scores Higher?

SLM Corp (SLM) and Voya Financial, Inc. (VOYA) are both in the Financials sector. SLM currently leads with a composite score of 8.6/10 (Strong Buy) compared to VOYA's 6.8/10 (Consider 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