Last refreshed: July 21, 2026 (US ET)
Back to holdings

LRCX

Growth

LAM RESEARCH CORP

Information Technology·Semiconductor Materials & EquipmentYield: Low (<1%)

Lam Research Corporation designs, manufactures, markets, refurbishes, and services semiconductor processing equipment used in the fabrication of integrated circuits in the United States, China, Korea, Taiwan, Japan, Southeast Asia, and Europe. The company offers ALTUS systems to deposit conformal or selective films for tungsten or molybdenum metallization applications; SABRE electrochemical deposition products for copper interconnect transition that offers copper damascene manufacturing; SPEED gapfill high-density plasma chemical vapor deposition (CVD) products; Striker single-wafer atomic layer deposition products for dielectric film solutions; and VECTOR plasma-enhanced CVD products.

Close · 3M

+45.28%

LRCX · 3M

+45.28%

Pinch / wheel to zoom · drag to pan · double-tap to reset

Held by 5 AI ETFs

AMOM2.360%

as of Jul 17

QRFT0.890%

as of Jul 8

PQUS0.800%

as of Jul 21

AIEQ0.300%

as of Jul 20

LQAI0.130%

as of Jul 17

Signal performance

Each tracked ETF's moves on this stock, grouped by fund. Returns are measured from the signal date to the latest close — hypothetical, no commissions or slippage.

Buy signals14
Win rate0% (0/14)
Avg buy return-19.43%
AMOMnow 2.360% of fund12 signals

AMOM · Weight decrease · 3d

Trading at $313.30, LRCX currently sits at 72% of its 52-week high, having recently seen a -6.9% return over the past 30 days, contrasting with its 90-day gain of +45.6% and a 1-year return of +219.2%. This recent short-term decline likely influenced AMOM’s multi-signal momentum composite, which is designed to identify names expected to extend their runs, rather than simply holding past top performers. The consecutive weight decrease from 2.47% on July 14th to 2.36% on July 17th indicates the AI manager detected a shift in LRCX's immediate run potential. Despite LRCX's revenue growth of 26.53% and a 65.79% ROE, alongside its PER of 58.41 and PBR of 12.52, the fund's strategy prioritizes forward momentum signals. The system likely flagged the recent price action as a sign that, at this valuation and price point, LRCX's trajectory might not extend as strongly, triggering a reduction within the concentrated portfolio.

weight 2.470% → 2.360% (-0.110 pp)·stock down 15.2% in the 30 days before

Jul 17·entry $313.30·now $306.76

-2.09%
since Jul 17

AMOM · Weight decrease · 2d

A series of gradual decreases in LRCX's weighting, specifically the 2.46% to 2.42% consecutive daily decline detected on 2026-07-15 and 2026-07-16, reflects a nuanced shift in AMOM's conviction. Given AMOM's strategy to identify companies poised to extend their upward trajectory, this subtle reduction indicates that the multi-signal momentum composite observed the stock’s short-term price trend, which shows a 30-day return of -6.9%, might not align with continued extension, despite its significant 1-year return of +219.2%. With LRCX trading at 72% of its 52-week high and holding a PER of 58.41, the AI manager's weekly rebalancing likely interpreted the recent negative short-term price action as a sign that the momentum for extending its already high valuation might be slowing. This concentrated momentum sleeve, by design, makes targeted adjustments, suggesting a calculated move to slightly reduce exposure in a stock where immediate future gains from momentum extension appear less certain, even with its current revenue growth and ROE figures.

weight 2.470% → 2.420% (-0.050 pp)·stock down 17.5% in the 30 days before

Jul 16·entry $320.96·now $306.76

-4.42%
since Jul 16

AMOM · Weight decrease · 2d

A detected pattern of consecutive weight decreases for LRCX, although punctuated by brief upticks, led to a net reduction of its AMOM portfolio weight from 3.12% to 2.40% over the first half of July. This systematic trimming suggests Qraft's multi-signal momentum composite is recalibrating its outlook for the stock, particularly regarding its ability to *extend* its current run. Despite delivering a 90-day return of +48.0% and a one-year return of +238.9%, LRCX's high PER of 63.98 and PBR of 12.52 at its current $329.92 price (76% of its 52-week high) likely signal to the system that future growth, even with a 26.53% revenue growth, may be substantially priced in. The measured, ongoing adjustments align with AMOM’s concentrated momentum sleeve, indicating a nuanced decrease in conviction as the probability of continued strong price trend extension diminishes.

weight 2.520% → 2.400% (-0.120 pp)·stock up 2.5% in the 30 days before

Jul 13·entry $329.92·now $306.76

-7.02%
since Jul 13

AMOM · Weight increase · 2d

LRCX's high PER of 63.98, PBR of 12.52, 26.53% revenue growth, and 65.79% ROE align with AMOM’s multi-signal momentum composite, indicating strong fundamental drivers that could extend a run. Qraft Technologies' concentrated momentum sleeve for AMOM requires position changes to reflect conviction, which explains the consecutive weight increases on July 8th and 9th. This re-engagement occurred as LRCX was priced at $350.33, after its weight had declined, positioning the stock at 81% of its 52-week high following a 1-year return of +260.4%. The fund likely detected renewed momentum signals across price trends, earnings revisions, or alternative data, suggesting the AI manager believes LRCX still has upward trajectory despite its significant recent gains.

weight 2.420% → 2.520% (+0.100 pp)·stock up 8.9% in the 30 days before

Jul 9·entry $353.17·now $306.76Fresh

-13.14%
since Jul 9

AMOM · Weight decrease · 4d

The sequence of weight changes for LRCX began with a significant step down from 3.12% to 2.57% on July 2nd, followed by several consecutive, smaller reductions, culminating at 2.42% by July 7th. This pattern, initiated as LRCX traded at $326.13—about 75% of its 52-week high after a 1-year return of 241.0%—aligns with AMOM's strategy of identifying stocks whose runs are expected to extend. Given LRCX’s elevated valuation metrics, including a PER of 71.62, the multi-signal momentum composite, incorporating price trends, earnings revisions, and fundamental momentum, likely detected a deceleration in these signals. The weekly rebalancing mechanism thus enabled Qraft Technologies to make a conviction-based adjustment in this concentrated momentum sleeve, reducing exposure when the forward-looking momentum began to wane rather than persist.

weight 3.300% → 2.420% (-0.880 pp)·stock down 3.1% in the 30 days before

Jul 7·entry $326.13·now $306.76

-5.94%
since Jul 7

AMOM · Weight decrease · 3d

Qraft Technologies' AMOM ETF, which operates a concentrated momentum sleeve with weekly rebalancing across ~50 US large caps, initiated consecutive weight decreases in LRCX, signaling a shift in its multi-signal composite. This fund's method focuses on identifying names expected to extend their runs, rather than passively holding past performers. Despite LRCX posting a 90-day return of +40.4% and its current price of $350.20, AMOM’s AI-driven system likely detected diminishing signals for sustained upward momentum. A PER of 71.62, combined with other fundamental or alternative data, suggests the fund's conviction for further significant gains in LRCX has moderated, leading to a reduction from 3.3000% to 2.5100% over several trading days.

weight 3.300% → 2.510% (-0.790 pp)·stock up 1.9% in the 30 days before

Jul 6·entry $350.20·now $306.76

-12.40%
since Jul 6

AMOM · Weight decrease · 2d

Currently priced at $351.41, LRCX trades at 81% of its 52-week high of $433.33, after experiencing a significant +288.3% return over the past year and a +43.9% gain in the last 90 days. This rapid appreciation, alongside a PER of 71.62 and PBR of 12.52, frames a scenario where AMOM's multi-signal momentum composite, designed to identify names expected to extend their runs rather than merely hold past leaders, might be detecting a shift. Despite LRCX's recent revenue growth of 26.53% and a 65.79% ROE, the fund implemented a consecutive weight decrease, moving from 3.12% on July 1st to 2.57% on July 2nd, 2026. This tactical reduction within AMOM's concentrated momentum sleeve indicates the AI algorithm likely detected a weakening in the composite signals that predict future momentum extension for LRCX at its current valuation levels.

weight 3.300% → 2.570% (-0.730 pp)·stock up 5.1% in the 30 days before

Jul 2·entry $351.41·now $306.76

-12.71%
since Jul 2

AMOM · Accumulation · 5d

stock up 36.2% in the 30 days before

Jun 30·entry $433.33·now $306.76Fresh

-29.21%
since Jun 30

AMOM · Accumulation · 5d

stock up 29.2% in the 30 days before

Jun 29·entry $410.91·now $306.76Fresh

-25.35%
since Jun 29

AMOM · Accumulation · 5d

stock up 18.9% in the 30 days before

Jun 26·entry $379.09·now $306.76Fresh

-19.08%
since Jun 26

AMOM · Accumulation · 5d

stock up 24.5% in the 30 days before

Jun 25·entry $401.82·now $306.76Fresh

-23.66%
since Jun 25

AMOM · Accumulation · 5d

stock up 22.7% in the 30 days before

Jun 24·entry $374.80·now $306.76Fresh

-18.15%
since Jun 24
QRFTnow 0.890% of fund7 signals

QRFT · Weight decrease · 4d

LRCX, currently priced at $326.13, sits at 75% of its 52-week high, having delivered a 241.0% one-year return and a 36.4% gain over 90 days, a trajectory which likely signaled a re-evaluation within QRFT's AI-driven strategy that integrates momentum and value factors. Despite the company reporting 26.53% revenue growth and a 65.79% ROE, its PER of 71.62 and PBR of 12.52 may have triggered a negative signal from the fund's value and low-volatility overlays. QRFT's AI, designed to combine traditional factors with alternative data and rebalance weekly, systematically reduced its allocation to LRCX from 1.0500% to 0.8700% between July 1st and July 7th. This progressive decrease suggests the AI's models determined that the prior price gains, coupled with the stock's valuation metrics, warranted a scaling back, aligning with its broad large-cap core approach with an AI tilt.

weight 1.150% → 0.870% (-0.280 pp)·stock down 3.1% in the 30 days before

Jul 7·entry $326.13·now $306.76

-5.94%
since Jul 7

QRFT · Weight decrease · 3d

Qraft Technologies' AI-driven methodology, which blends traditional factors like value and low-volatility with proprietary alternative data overlays, appears to be de-risking exposure to Lam Research (LRCX) within the QRFT portfolio. This consecutive weight decrease, observed over QRFT's weekly rebalance schedule, follows a period where LRCX has delivered a +282.3% 1-year return, driving its PER to 71.62. Despite LRCX's sector position and high ROE of 65.79%, the AI’s valuation and perhaps low-volatility factor components, integrated with its proprietary data overlays, likely flagged a stretched valuation at the current $350.20 price point. Such adjustments reflect the fund's broad large-cap core style with an AI tilt, proactively managing positions among its roughly 300 US large-cap holdings as market dynamics evolve.

weight 1.150% → 0.930% (-0.220 pp)·stock up 1.9% in the 30 days before

Jul 6·entry $350.20·now $306.76

-12.40%
since Jul 6

QRFT · Weight decrease · 2d

LRCX displays a PER of 71.62 and a PBR of 12.52, figures that suggest a stretched valuation relative to traditional value metrics Qraft AI considers. However, the company also boasts a 26.53% revenue growth and 65.79% return on equity, indicating strong underlying business quality and momentum, aligning with other aspects of QRFT's broad large-cap core strategy. The Qraft AI-driven fund initiated a consecutive weight decrease in LRCX on July 1st and 2nd, reducing its allocation from 1.0500% to 0.9400% after a period of increasing exposure. This rebalancing decision by QRFT occurred as LRCX continued its significant price appreciation, achieving a 30-day return of +20.3% and trading at $351.41, which places it at 81% of its 52-week high. Considering QRFT's methodology combining traditional factors with alternative data, the AI system likely reweighted LRCX due to its rapid price ascent, possibly signaling an elevated valuation or a shift in its momentum profile that prompted the reduction.

weight 1.150% → 0.940% (-0.210 pp)·stock up 5.1% in the 30 days before

Jul 2·entry $351.41·now $306.76

-12.71%
since Jul 2

QRFT · Accumulation · 5d

stock up 36.2% in the 30 days before

Jun 30·entry $433.33·now $306.76Fresh

-29.21%
since Jun 30

QRFT · Accumulation · 5d

stock up 29.2% in the 30 days before

Jun 29·entry $410.91·now $306.76Fresh

-25.35%
since Jun 29

QRFT · Accumulation · 5d

stock up 18.9% in the 30 days before

Jun 26·entry $379.09·now $306.76Fresh

-19.08%
since Jun 26

QRFT · Accumulation · 5d

stock up 24.5% in the 30 days before

Jun 25·entry $401.82·now $306.76Fresh

-23.66%
since Jun 25
PQUSnow 0.800% of fund5 signals

PQUS · Weight decrease · 2d

The recent consecutive weight decrease in LRCX within the PQUS portfolio, moving from 0.81% to 0.80%, reflects a subtle adjustment by the AI ranking system. This measured reduction, despite the stock’s prior substantial gains—with a 90-day return of 45.6% and a 1-year return of 219.2%—likely indicates the AI system is responding to the company's valuation metrics. While LRCX demonstrates revenue growth of 26.53% and a 65.79% ROE, its current PER of 58.41 and PBR of 12.52 suggest a valuation that warrants careful consideration. Given PQUS's style as a US large-cap fund employing measured turnover and concentration rules, these minor daily adjustments suggest the AI system is balancing continued exposure to a growth name with prudent risk management around its elevated price, which is currently at 72% of its 52-week high. The fund's periodic rebalance cycle means such slight daily decreases likely precede a more significant re-evaluation during a scheduled rebalancing, reflecting the AI's sensitivity to price appreciation versus underlying fundamentals.

weight 0.840% → 0.800% (-0.040 pp)·stock down 15.2% in the 30 days before

Jul 19·entry $306.76·now $306.76

0.00%
since Jul 19

PQUS · Weight increase · 2d

LRCX is currently trading at $320.96, positioned at 74% of its 52-week high and experiencing a -6.6% 30-day return, despite a +224.8% gain over the last year. This recent price cooling, following substantial long-term appreciation, likely triggered a positive signal within Pictet Asset Management's AI ranking system for PQUS, prompting the consecutive weight increase from 0.7000% to 0.8400% between July 15th and July 17th. The fund's AI, designed for US large-cap selection, appears to value LRCX's 26.53% revenue growth and 65.79% return on equity, interpreting the stock's current valuation metrics—a PER of 63.98 and PBR of 12.52—as justified within its investment universe. PQUS, operating with measured turnover and periodic rebalances, capitalized on this specific market movement, integrating LRCX's fundamental attributes during a momentary price retracement into its ~165 US large-cap portfolio.

weight 0.700% → 0.840% (+0.140 pp)·stock down 15.2% in the 30 days before

Jul 17·entry $313.30·now $306.76Fresh

-2.09%
since Jul 17

PQUS · Weight decrease · 2d

The AI ranking system utilized by Pictet Asset Management for PQUS appears to have initiated this consecutive weight decrease in Lam Research during a periodic rebalancing window. With a portfolio of approximately 165 US large-cap holdings, the AI's concentration and sector-balance rules likely assessed LRCX's high PER of 71.62 in conjunction with its substantial 1-year return of +247.0%. This led to a systematic reduction in the stock's allocation, decreasing its weight from 0.9500% to 0.7100% over several days. Such a measured adjustment aligns with the fund's style of seeking US large-cap exposure with controlled turnover, ensuring the portfolio remains optimized per the algorithm's criteria.

weight 0.780% → 0.710% (-0.070 pp)·stock up 8.9% in the 30 days before

Jul 9·entry $353.17·now $306.76

-13.14%
since Jul 9

PQUS · Weight increase · 2d

Trading at $391.26, 90% of its 52-week high and following a 324.2% one-year return, Lam Research presented a strong upward trajectory as PQUS increased its weight consecutively. The Pictet AI ranking system likely identified the company's 26.53% revenue growth and 65.79% return on equity as compelling factors, even with a PER of 71.62 and PBR of 12.52. This led to the specific rebalancing move from 0.86% to 0.94% then 0.95% on July 1-2, reflecting a system-driven conviction within the fund’s measured turnover strategy for its US large-cap universe. The fund's periodic, non-daily rebalancing emphasizes this move was a considered allocation increase, adhering to its sector-balance and concentration parameters.

weight 0.860% → 0.950% (+0.090 pp)·stock up 5.1% in the 30 days before

Jul 2·entry $351.41·now $306.76Fresh

-12.71%
since Jul 2

PQUS · Weight increase · 2d

stock up 18.9% in the 30 days before

Jun 27·entry $410.91·now $306.76Fresh

-25.35%
since Jun 27
AIEQnow 0.300% of fund4 signals

AIEQ · Weight decrease · 3d

AIEQ's IBM Watson NLP engine, which daily processes vast amounts of textual data including news and social posts, appears to have detected a sustained negative shift in sentiment or fundamental signals for LRCX. The fund's daily rebalancing of its 140-180 stock portfolio means it reacts quickly to such changes, making immediate adjustments to its holdings. This consecutive decrease in LRCX's weight, from 0.3400% to 0.3000% over several trading days, indicates a consistently less favorable outlook from EquBot's proprietary ranking system. This reduction in exposure likely stems from a re-evaluation at the current price of $313.30, especially given the stock's -6.9% return over the past 30 days, influencing the AI's sentiment-driven decision.

weight 0.330% → 0.300% (-0.030 pp)·stock down 15.2% in the 30 days before

Jul 19·entry $306.76·now $306.76

0.00%
since Jul 19

AIEQ · Weight decrease · 2d

AIEQ's IBM Watson NLP engine, which analyzes news, filings, and social posts daily, appears to have detected a shift in sentiment or fundamental signals for LAM RESEARCH CORP (LRCX), leading to its consecutive weight decrease. With a portfolio of 140-180 US stocks and a daily rebalance cadence, this high-turnover fund is designed to quickly adjust positions based on its continuous analysis. The system may be reacting to LRCX's recent 30-day return of -6.9%, perhaps indicating a cooling of momentum or an re-evaluation of its current valuation. Despite strong revenue growth, the AI's models could be flagging the stock's PER of 58.41 in light of recent market movements.

weight 0.330% → 0.310% (-0.020 pp)·stock down 15.2% in the 30 days before

Jul 17·entry $313.30·now $306.76

-2.09%
since Jul 17

AIEQ · Weight decrease · 2d

LRCX is trading at $351.41, representing 81% of its $433.33 52-week high, following recent gains of +20.3% over 30 days and a substantial +288.3% over the past year. Given this rapid price appreciation, AIEQ's IBM Watson NLP system, which processes news, transcripts, and social posts daily, likely detected a shift in market sentiment or a reevaluation of the stock's relative attractiveness. Despite the company’s 26.53% revenue growth and 65.79% ROE, its valuation metrics, including a PER of 71.62 and a PBR of 12.52, suggest a demanding valuation that may have influenced the AI's daily ranking. This led EquBot’s risk overlay, managing AIEQ’s high-turnover portfolio, to execute the consecutive weight decrease from 0.42% to 0.34% in early July, tactically reducing exposure in response to the real-time analysis.

weight 0.830% → 0.340% (-0.490 pp)·stock up 5.1% in the 30 days before

Jul 3·entry $350.20·now $306.76

-12.40%
since Jul 3

AIEQ · Sudden change · 1d

AIEQ’s daily rebalancing mechanism, driven by IBM Watson NLP’s continuous processing of news, filings, and social posts, enabled a rapid adjustment in its Lam Research position. The AI engine likely detected a shift in its daily ranking for LRCX, prompting the reduction from 0.83% to 0.42% on July 1st. As a fund managing 140-180 US stocks with a fundamentals + sentiment hybrid style, its system would interpret the stock's significant 1-year return of +324.2% and a PER of 71.62 as signals for recalibration. This move suggests the model identified increased valuation concerns or reduced future upside potential, even with the current price at 90% of its 52-week high.

weight 0.830% → 0.420% (-0.410 pp)·stock up 23.4% in the 30 days before

Jul 1·entry $391.26·now $306.76

-21.60%
since Jul 1
LQAInow 0.130% of fund1 signal

LQAI · New entry · 1d

weight 0 → 0.130% (new)·stock down 3.1% in the 30 days before

Jul 7·entry $326.13·now $306.76Fresh

-5.94%
since Jul 7

Sell signals show what the stock did after the AI exited. A negative number means the AI's exit was well-timed.

Buffett-style framework

Too hard to callas of Jul 19

AI ETFs show mixed activity with some decreasing weights (AIEQ, AMOM, QRFT), others increasing (PQUS), and one new entry (LQAI). This framework's verdict of 'Too Hard' contrasts with the AI ETFs' active trading, suggesting they might utilize different, potentially shorter-term, models to assess value in a highly cyclical and technologically dynamic industry.

  • Circle of CompetenceThe semiconductor equipment industry's rapid technological cycles and high dependency on volatile global chip demand make projecting stable ten-year cash flows genuinely unpredictable, placing LRCX outside the circle of competence for reliable long-term analysis.
  • Economic MoatAn assessment of durable competitive advantage is not performed as the company fails the circle of competence criterion.
  • ManagementManagement's integrity, capital allocation, and shareholder alignment are not evaluated due to the prior failure in assessing predictable earning power.
  • Financial HealthKey financial health metrics like 10-year average ROE, stable operating margins, and owner earnings are not analyzed given the fundamental unpredictability of the business.
  • Margin of SafetyA determination of margin of safety against intrinsic value is not possible without a reliable basis for projecting future cash flows.

LAM RESEARCH CORP falls outside the circle of competence for this framework due to the inherent unpredictability of its cash flows in the rapidly evolving semiconductor equipment industry. Consequently, a long-term investment assessment based on enduring value cannot be reliably made, leading to a 'Too Hard' verdict regardless of current market sentiment or price.

Educational interpretation generated by AI applying frameworks Warren Buffett documented in his shareholder letters and other public writings. Not a statement by Mr. Buffett or Berkshire Hathaway, and not investment advice.