CAG vs SMPL
As of Sep 20, 2026, Conagra Brands (CAG) scores 5.3/10 and Simply Good Foods (SMPL) 3.0/10 on AlphaStocks' five-model composite, so CAG scores higher.
CAG
CONAGRA BRANDS INC.
5.3
Consider Buy
$15.12
SMPL
Simply Good Foods Co
3.0
Weak
$10.12
CAG vs SMPL: Which is the Better Investment?
CONAGRA BRANDS INC. (CAG) scores 5.3/10 while Simply Good Foods Co (SMPL) scores 3.0/10 on AlphaStocks' composite model. CONAGRA BRANDS INC. has the higher composite rating of Consider Buy. On a P/E basis, CONAGRA BRANDS INC. trades at 6.3x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | CAG | SMPL |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 5.3/10▲ | 3.0/10 |
| Rating | Consider Buy▲ | Weak |
| Price | $15.12 | $10.12 |
| P/E Ratio | 6.3▲ | 9.9 |
| ROE | 13.0%▲ | 5.7% |
| Market Cap | $7B | $910.2M |
| Fair Value | — | — |
| Dividend Yield | 10.1% | — |
| Sector Rank | #23 of 78▲ | #69 of 77 |
| Model Verdicts | ||
| Piotroski | Attractive | Attractive |
| Buffett | Attractive▲ | Neutral |
| Graham | Attractive | Attractive |
| Lynch | Neutral | Neutral |
| Greenblatt | Strong | Strong |
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CAG vs SMPL: Which Stock Scores Higher?
CONAGRA BRANDS INC. (CAG) and Simply Good Foods Co (SMPL) are both in the Consumer Staples sector. CAG currently leads with a composite score of 5.3/10 (Consider Buy) compared to SMPL's 3.0/10 (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