AlphaStocks

APH vs KN

As of Sep 20, 2026, Amphenol (APH) scores 3.3/10 and Knowles (KN) 6.5/10 on AlphaStocks' five-model composite, so KN scores higher. APH trades 16% above its model fair value; KN trades 86% above its model fair value.

APH

AMPHENOL CORP /DE/

3.3

Weak

$77.57

KN

Knowles Corp

6.5

Consider Buy

$35.59

APH vs KN: Which is the Better Investment?

AMPHENOL CORP /DE/ (APH) scores 3.3/10 while Knowles Corp (KN) scores 6.5/10 on AlphaStocks' composite model. Knowles Corp has the higher composite rating of Consider Buy. On a P/E basis, AMPHENOL CORP /DE/ trades at 23.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricAPHKN
Scores & Fundamentals
Composite Score3.3/106.5/10
RatingWeakConsider Buy
Price$77.57$35.59
P/E Ratio23.270.9
ROE32.9%2.5%
Market Cap$100B$3B
Fair Value$66.97$19.15
Dividend Yield
Sector Rank#182 of 205#52 of 205
Model Verdicts
PiotroskiAttractiveStrong
BuffettAttractiveAttractive
GrahamNeutralCaution
LynchAttractiveLimited Data
GreenblattNeutralCaution
View full APHanalysis →View full KNanalysis →

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APH vs KN: Which Stock Scores Higher?

AMPHENOL CORP /DE/ (APH) and Knowles Corp (KN) are both in the Information Technology sector. KN currently leads with a composite score of 6.5/10 (Consider Buy) compared to APH's 3.3/10 (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