SMPL vs VAL
As of Sep 20, 2026, Simply Good Foods (SMPL) scores 3.1/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so VAL scores higher.
SMPL
Simply Good Foods Co
3.1
Weak
$10.12
VAL
Valaris Ltd
4.6
Weak
$83.77
SMPL vs VAL: Which is the Better Investment?
Simply Good Foods Co (SMPL) scores 3.1/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. Valaris Ltd has the higher composite rating of Weak. On a P/E basis, Valaris Ltd trades at 6.0x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | SMPL | VAL |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 3.1/10 | 4.6/10▲ |
| Rating | Weak | Weak▲ |
| Price | $10.12 | $83.77 |
| P/E Ratio | 9.9 | 6.0▲ |
| ROE | 5.7% | 35.0%▲ |
| Market Cap | $910.2M | $6B |
| Fair Value | — | — |
| Dividend Yield | — | — |
| Sector Rank | #69 of 78 | #37 of 80▲ |
| Model Verdicts | ||
| Piotroski | Attractive | Strong▲ |
| Buffett | Neutral | Attractive▲ |
| Graham | Attractive▲ | Neutral |
| Lynch | Neutral | Neutral |
| Greenblatt | Strong▲ | Attractive |
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SMPL vs VAL: Which Stock Scores Higher?
Simply Good Foods Co (SMPL) is in the Consumer Staples sector; Valaris Ltd (VAL) is in Energy. VAL currently leads with a composite score of 4.6/10 (Weak) compared to SMPL's 3.1/10 (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