CAG vs KHC
As of Sep 20, 2026, Conagra Brands (CAG) scores 5.3/10 and Kraft Heinz (KHC) 4.3/10 on AlphaStocks' five-model composite, so CAG scores higher. KHC trades 23% below its model fair value.
CAG
CONAGRA BRANDS INC.
5.3
Consider Buy
$15.12
KHC
Kraft Heinz Co
4.3
Weak
$24.43
CAG vs KHC: Which is the Better Investment?
CONAGRA BRANDS INC. (CAG) scores 5.3/10 while Kraft Heinz Co (KHC) scores 4.3/10 on AlphaStocks' composite model. CONAGRA BRANDS INC. has the higher composite rating of Consider Buy.
This comparison is algorithmically generated and is not financial advice.
| Metric | CAG | KHC |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 5.3/10▲ | 4.3/10 |
| Rating | Consider Buy▲ | Weak |
| Price | $15.12 | $24.43 |
| P/E Ratio | 6.3 | — |
| ROE | 13.0%▲ | -14.1% |
| Market Cap | $7B | $29B |
| Fair Value | — | $31.60 |
| Dividend Yield | 10.1%▲ | 6.4% |
| Sector Rank | #23 of 78▲ | #47 of 77 |
| Model Verdicts | ||
| Piotroski | Attractive | Attractive |
| Buffett | Attractive▲ | Caution |
| Graham | Attractive▲ | Neutral |
| Lynch | Neutral | Attractive▲ |
| Greenblatt | Strong▲ | Caution |
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CAG vs KHC: Which Stock Scores Higher?
CONAGRA BRANDS INC. (CAG) and Kraft Heinz Co (KHC) are both in the Consumer Staples sector. CAG currently leads with a composite score of 5.3/10 (Consider Buy) compared to KHC's 4.3/10 (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