AlphaStocks

KLIC vs PHIN

KULICKE & SOFFA INDUSTRIES INC vs PHINIA INC. — Side-by-Side Stock Comparison

KLIC

KULICKE & SOFFA INDUSTRIES INC

8.3

Strong Buy

$99.36

PHIN

PHINIA INC.

7.0

Consider Buy

$75.14

KLIC vs PHIN: Which is the Better Investment?

KULICKE & SOFFA INDUSTRIES INC (KLIC) scores 8.3/10 while PHINIA INC. (PHIN) scores 7.0/10 on AlphaStocks' composite model. KULICKE & SOFFA INDUSTRIES INC has the higher composite rating of Strong Buy. On a P/E basis, PHINIA INC. trades at 23.2x, making it the more attractively priced of the two. KULICKE & SOFFA INDUSTRIES INC offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricKLICPHIN
Scores & Fundamentals
Composite Score8.3/107.0/10
RatingStrong BuyConsider Buy
Price$99.36$75.14
P/E Ratio24.823.2
ROE0.0%6.6%
Market Cap$5B$3B
Fair Value$143.59$70.00
Dividend Yield1036.6%1.4%
Sector Rank#3 of 1125#73 of 1125
Model Verdicts
PiotroskiStrongStrong
BuffettNeutralAttractive
GrahamAttractiveNeutral
LynchLimited DataNeutral
GreenblattLimited DataStrong
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KLIC vs PHIN: Which Stock Scores Higher?

KULICKE & SOFFA INDUSTRIES INC (KLIC) and PHINIA INC. (PHIN) are among the most compared stocks in the S&P 500. KLIC currently leads with a composite score of 8.3/10 (Strong Buy) compared to PHIN's 7.0/10 (Consider Buy).

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