AlphaStocks

LRCX vs TER

As of Sep 20, 2026, Lam Research (LRCX) scores 7.1/10 and Teradyne (TER) 5.6/10 on AlphaStocks' five-model composite, so LRCX scores higher. LRCX trades 96% above its model fair value.

LRCX

LAM RESEARCH CORP

7.1

Consider Buy

$287.77

TER

TERADYNE, INC

5.6

Consider Buy

$371.48

LRCX vs TER: Which is the Better Investment?

LAM RESEARCH CORP (LRCX) scores 7.1/10 while TERADYNE, INC (TER) scores 5.6/10 on AlphaStocks' composite model. LAM RESEARCH CORP has the higher composite rating of Consider Buy. On a P/E basis, LAM RESEARCH CORP trades at 69.3x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricLRCXTER
Scores & Fundamentals
Composite Score7.1/105.6/10
RatingConsider BuyConsider Buy
Price$287.77$371.48
P/E Ratio69.3107.1
ROE19.0%20.1%
Market Cap$362B$59B
Fair Value$146.77
Dividend Yield
Sector Rank#23 of 205#93 of 205
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattCautionCaution
View full LRCXanalysis →View full TERanalysis →

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LRCX vs TER: Which Stock Scores Higher?

LAM RESEARCH CORP (LRCX) and TERADYNE, INC (TER) are both in the Information Technology sector. LRCX currently leads with a composite score of 7.1/10 (Consider Buy) compared to TER's 5.6/10 (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