KN vs ROG
As of Sep 20, 2026, Knowles (KN) scores 6.5/10 and Rogers (ROG) 4.7/10 on AlphaStocks' five-model composite, so KN scores higher. KN trades 86% above its model fair value; ROG trades 18% above its model fair value.
KN
Knowles Corp
6.5
Consider Buy
$35.59
ROG
ROGERS CORP
4.7
Weak
$129.56
KN vs ROG: Which is the Better Investment?
Knowles Corp (KN) scores 6.5/10 while ROGERS CORP (ROG) scores 4.7/10 on AlphaStocks' composite model. Knowles Corp has the higher composite rating of Consider Buy.
This comparison is algorithmically generated and is not financial advice.
| Metric | KN | ROG |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 6.5/10▲ | 4.7/10 |
| Rating | Consider Buy▲ | Weak |
| Price | $35.59 | $129.56 |
| P/E Ratio | 70.9 | — |
| ROE | 2.5%▲ | -5.2% |
| Market Cap | $3B | $2B |
| Fair Value | $19.15 | $110.11 |
| Dividend Yield | — | — |
| Sector Rank | #52 of 205▲ | #136 of 205 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Neutral |
| Buffett | Attractive▲ | Caution |
| Graham | Caution | Neutral▲ |
| Lynch | Limited Data | Strong▲ |
| Greenblatt | Caution | Caution |
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KN vs ROG: Which Stock Scores Higher?
Knowles Corp (KN) and ROGERS CORP (ROG) are both in the Information Technology sector. KN currently leads with a composite score of 6.5/10 (Consider Buy) compared to ROG'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