AZN vs CAG
ASTRAZENECA PLC vs CONAGRA BRANDS INC. — Side-by-Side Stock Comparison
AZN
ASTRAZENECA PLC
8.4
Strong Buy
$184.80
CAG
CONAGRA BRANDS INC.
4.7
Weak
$14.06
AZN vs CAG: Which is the Better Investment?
ASTRAZENECA PLC (AZN) scores 8.4/10 while CONAGRA BRANDS INC. (CAG) scores 4.7/10 on AlphaStocks' composite model. ASTRAZENECA PLC has the higher composite rating of Strong Buy. On a P/E basis, CONAGRA BRANDS INC. trades at 5.8x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | AZN | CAG |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 8.4/10▲ | 4.7/10 |
| Rating | Strong Buy▲ | Weak |
| Price | $184.80 | $14.06 |
| P/E Ratio | 28.2 | 5.8▲ |
| ROE | 21.9%▲ | 13.0% |
| Market Cap | $289B | $7B |
| Fair Value | $192.63 | — |
| Dividend Yield | 1.7% | 8.9%▲ |
| Sector Rank | #2 of 1126▲ | #653 of 1126 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Attractive |
| Buffett | Strong▲ | Attractive |
| Graham | Caution | Attractive▲ |
| Lynch | Neutral | Neutral |
| Greenblatt | Neutral | Strong▲ |
AZN vs CAG: Which Stock Scores Higher?
ASTRAZENECA PLC (AZN) and CONAGRA BRANDS INC. (CAG) are among the most compared stocks in the S&P 500. AZN currently leads with a composite score of 8.4/10 (Strong Buy) compared to CAG's 4.7/10 (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