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LRCX.NASDAQ
Lam Research
Information Technology · Semiconductor Materials & Equipment
Wafer fabrication equipment supplier with large exposure to etch and deposition steps in established-edge memory and logic production.MoreShow less
HQ: United StatesListed: United States

Lam Research (LRCX) Stock Analysis: Compare AI Forecasts & Scenarios

Updated 2 Nov 2026Deep Analysis 21 Sept 2026

25 min read
Approved byRusslan Ramdowar, Editor-in-Chief

14 advisor opinions Base Subscription Required

Lam Research AI Forecast Summary

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1 Year Ratings & Returns ()

Ratings: 2 Neutral 3 Buy 9 Strong Buy

Returns range: from +5.2% to +84.9%

5 Year Ratings & Returns ()

Ratings: 1 Partial Sell 3 Neutral 5 Buy 5 Strong Buy

Returns range: from -8.1% to +170.7%

Calculated from End of Date $200.44

What do advisors disagree on

The decisive disagreement across reports centers on the timing and severity of valuation multiple derating versus near-term earnings acceleration. Skeptical reports argue that paying fifty times trailing earnings during monetary tightening guarantees severe capital losses as memory capex digests. Conversely, grounded reports demonstrate that September 2026 guidance annualizes to thirty-three times earnings, providing robust operational momentum before any downcycle. This dispute will be resolved by monitoring whether October 2026 earnings deliver guided revenue and gross margins, and whether memory customer book-to-bill ratios remain above parity through mid-2027.

Compare all 14 opinions1 Year & 5 Year ratings, targets & returns · Sorted by 5 Year price return
AdvisorModelResearch1 Year5 YearFull Report
Target dateRatingPrice targetPrice returnReturn incl. dividendsTarget dateRatingPrice targetPrice returnReturn incl. dividends
J.P. Morgan AI The Titan FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy$340.16+69.7%+70.3%Strong Buy$542.53+170.7%+175.8%Full report
Universal Investor AI The Polymath FrameworkClaude Opus 5Researcher Mode with Web Search UsedStrong Buy$370.56+84.9%+85.5%Strong Buy$443.18+121.1%+125.3%Full report
Elon Musk AI The Visionary FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedBuy$212.98+6.3%+6.6%Strong Buy$408.36+103.7%+107.6%Full report
Universal Investor AI The Polymath FrameworkGPT-6 AstraResearcher Mode with Web Search UsedStrong Buy$304.92+52.1%+52.6%Strong Buy$394.93+97.0%+100.8%Full report
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy$302.20+50.8%+51.3%Strong Buy$372.91+86.0%+89.6%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy$229.70+14.6%+15.0%Buy$346.00+72.6%+75.9%Full report
Ray Dalio AI The Strategist FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedStrong Buy$234.49+17.0%+17.4%Buy$323.57+61.4%+64.5%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy$227.23+13.4%+13.7%Buy$322.50+60.9%+64.0%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledStrong Buy$237.11+18.3%+18.7%Buy$295.10+47.2%+50.0%Full report
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledBuy$220.13+9.8%+10.2%Buy$291.58+45.5%+48.2%Full report
Michael Burry AI The Vulture FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedNeutral$210.86+5.2%+5.6%Neutral$267.82+33.6%+36.2%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledStrong Buy$234.64+17.1%+17.5%Neutral$266.08+32.7%+35.3%Full report
Sherlock Holmes AI The Whistleblower FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedBuy$220.13+9.8%+10.2%Neutral$264.86+32.1%+34.7%Full report
Niccolo Machiavelli AI The Insider FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedNeutral$210.86+5.2%+5.6%Partial Sell$184.12-8.1%-6.4%Full report
Prices, dates & return assumptions

1 Year and 5 Year identify the original published checkpoints. Current returns compare the dated close with each fixed target over its remaining horizon. Original quarterly tables use the publication-time anchor. Targets and observed prices share a split-adjusted basis.

Ratings use the shared volatility-adjusted calculation.

Dividend returns model a 0.39% annual net yield, reinvested over the remaining time to target.

Ranges and rating distributions use matching currencies, price bases and target dates. Missing or expired checkpoints are excluded; targets are never extrapolated. Shared frameworks and models can produce correlated opinions.

Lam Research Stock Analysis & Forecast — Universal Investor The Polymath Framework on Claude Opus 5 Model

Universal Investor AI advisor icon

Universal Investor AI · The Polymath Framework

Claude Opus 5 AI Researcher Web Search Not Used

5 Year Rating

Strong Buy

5 Year Price Return

+121.1%

Incl. net dividends

+125.3%

Framework Description & Key Record Dates

Investment Framework

The Polymath Framework: Eight-Lens Investment Analysis Framework

Analysis Framework Description: Select the lenses with the greatest explanatory power, resolve their disagreements across horizons, and connect the evidence to a consistent thesis, scenario path, and verdict.

  • Ownership and value: examine economic rights, competitive advantage, capital allocation, and the price paid.
  • Regimes and constraints: connect credit, liquidity, policy, demand, and physical bottlenecks to the asset.
  • Innovation and adaptation: test adoption economics, AI and robotics exposure, substitution, and value capture.
  • Forensics and incentives: reconcile accounting, cash conversion, dilution, governance, and missing evidence.
  • Expectations and reflexivity: distinguish changes in fundamentals from changes in narratives and valuation.
  • Probabilities and resilience: use base rates, competing scenarios, catalysts, and the capacity to survive the wait.
  • Power and the rules of the game: assess political interests, regulatory influence, protection, and dependency.
  • Industry structure and consolidation: identify pricing power, chokepoints, alliances, and the economics of integration.
Full framework methodology
Model Producer:
Anthropic
Model Version:
Claude Opus 5
Mode Used:
Researcher
Web Search Not Used
Input Data:
Input records not available
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Model knowledge cutoff:
Supplied Context Data, Prices & Events Cutoff:
Not recorded
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 0.39% annual net yield, reinvested until the target.

Full advisor report Chart, analysis, and sources

Lam Research: Historical Prices & Published Forecast

Analyzed by The Polymath Framework using the Opus 5 model

Lam Research: Historical Prices & Published ForecastObserved prices and the selected advisor's published projection share a split-adjusted price basis. Prices after the forecast start are later observations, not information known at publication. Values in USD.-9.19114.19237.56360.94484.31Sep 2021Mar 2024Sep 2026Mar 2029Sep 2031Forecast startsToday (UTC)
  • Observed price
  • Published advisor forecast
Observed prices and the selected advisor's published projection share a split-adjusted price basis. Prices after the forecast start are later observations, not information known at publication. Values in USD.

Lam Research: Quarterly Price Forecasts & Scenarios

Analyzed by The Polymath Framework using the Opus 5 model

Price targets, price returns and complete scenario reasoning

Forecast prices in USD. Price returns are cumulative from the original forecast anchor dated 2026-09-18; they exclude dividends. Swipe horizontally to read every column.

QuarterForecastPrice returnScenario
$311+8.0%

The 21 October print confirms the $8.1 billion step-up and 52% gross margin, forcing fiscal-2027 estimates above $8.50. Rising Treasury yields cap the re-rating, so earnings revisions rather than multiple expansion carry the quarter.

$333+15.6%

December-quarter results extend the memory-led ramp as DRAM and NAND equipment budgets inflate further. Management's calendar-2027 WFE framing above $180 billion lifts consensus faster than the five-percent long bond compresses the valuation investors will pay.

$350+21.3%

Eight to ten new fabs begin tool move-in, sustaining bookings and service attach. Gains moderate as investors debate whether memory-price-funded capex is peaking; the stock advances on delivered earnings rather than expanding valuation.

$371+28.6%

Fiscal 2027 closes near $33 billion revenue with mid-fifties gross margin reached ahead of the long-term framework. Working capital begins releasing cash, resumed buybacks return, and per-share earnings accelerate into the seasonal print.

$348+20.9%

First evidence of DRAM contract-price rollover triggers peak-cycle de-rating across semicap. Lam's reported earnings still rise, but investors pay materially less for late-cycle cyclical profits, and forward multiples compress ahead of any order weakness.

$362+25.7%

Gate-all-around ramps at three leading foundries offset softer memory bookings, and SEMI's mid-teens 2028 WFE growth reassures. Modest recovery as the feared capex air pocket is deferred into 2029 rather than cancelled.

$380+32.0%

Advanced-packaging and high-bandwidth-memory tool demand keeps fab utilisation high. Inventory unwinds into cash, lifting free-cash-flow conversion back toward ninety percent and funding larger repurchases that support per-share earnings before the cycle turns.

$350+21.5%

Customers signal 2029 capex digestion after three record years. Order deferrals and normalising hyperscaler spending hit equipment sentiment first; Lam de-rates sharply despite still-record trailing earnings, the familiar semicap sequencing.

$325+13.0%

Memory makers cut utilisation as inventories build and contract prices fall. Lam's guidance flattens sequentially, confirming the downcycle, and the market begins discounting a trough earnings base roughly a third below peak.

$309+7.3%

The trough quarter approaches with revenue declining year over year for the first time since fiscal 2024. Installed-base spares and upgrade revenue cushion the fall, limiting the drawdown to a controlled de-rating rather than capitulation.

$318+10.5%

Stabilisation. Service and NAND upgrade revenue hold gross margin above fifty percent through the trough, while easing policy rates and lower long yields begin restoring the multiple investors accept on cyclical equipment earnings.

$338+17.2%

Order inflection as 1c-node DRAM conversions and next-generation NAND layer transitions restart. Early-cycle buyers return to semicap; Lam re-rates on anticipated fiscal-2031 recovery rather than on currently reported results.

$361+25.4%

Bookings confirm a new upcycle, with WFE guidance turning positive for 2030. Lower policy rates and normalised inflation expand acceptable multiples for capital-equipment earnings, compounding the estimate upgrades already flowing through consensus models.

$383+32.9%

Revenue returns to growth with a leaner cost base built during digestion, so incremental margins run above trend. Buyback capacity restored by the working-capital release accelerates per-share earnings recovery beyond revenue recovery.

$398+38.2%

Advanced-node etch and deposition intensity delivers share gains within a recovering WFE market. Gains moderate because the recovery is now consensus and the shares already discount much of fiscal-2031's projected earnings rebound.

$410+42.3%

Steady execution against a mid-cycle backdrop. Chinese domestic toolmakers take visible mature-node share, capping enthusiasm, while Lam's leading-edge and packaging exposure keeps mix and gross margin resilient near the raised framework.

$427+48.0%

Record annual revenue above the previous peak, with operating margin in the mid-forties validating the long-term framework. The multiple stays disciplined near the low twenties as investors treat Lam as durably cyclical.

$414+43.6%

A mid-cycle pause as memory customers absorb capacity added in 2030 and one hyperscaler trims its build schedule. Modest consolidation rather than a downcycle; estimates hold while sentiment cools.

$430+49.3%

Next-generation logic and memory node transitions restore order momentum. Continued share repurchase against a smaller count converts flat industry spending into rising per-share earnings, the core compounding mechanism of the base case.

$443+53.8%

Horizon close with earnings roughly double the fiscal-2026 base and the multiple compressed toward the low twenties. Returns over five years come from earnings growth and buybacks, not from paying more for the same profits.

Show remaining 18 quarters

All 20 quarters are displayed in the table above.

Lam Research: Investment Thesis Base Case

Analyzed by The Polymath Framework using the Opus 5 model

The evidence points to a company whose trailing multiple misdescribes it. Lam closed fiscal 2026 with $23.2 billion revenue and $5.82 diluted EPS, then guided September to $8.1 billion and $2.15 — a run-rate roughly half again larger than the trailing base . The tension is that this surge is funded by memory prices that are themselves reflexive, and that cash conversion fell to 67% of net income while it happened. Base case: earnings roughly double by 2031 while the multiple compresses from today's mid-thirties forward toward the low twenties, delivering high-single-digit annual returns through one visible drawdown near 2029.

  • Fiscal-2026 free cash flow of $4.89 billion against $7.27 billion net income; conversion must normalise for the thesis.
  • At $288 the shares discount roughly 33x an $8.60 annualised run-rate, not 50x trailing earnings.
  • A $363 billion market value implies Lam capturing a high-thirties share of a $200 billion WFE market.

Lam Research: Scenarios & Signals

Analyzed by The Polymath Framework using the Opus 5 model

Bull Case

The bull case activates when memory pricing holds through 2028 instead of rolling over. Hyperscaler capex compounding at JPMorgan's projected pace pushes WFE past $250 billion, Lam's etch and deposition intensity lifts its served-market share into the high thirties, and mid-40s operating margin arrives early. Working capital then releases, restoring free-cash-flow conversion above 90% and refunding aggressive buybacks on a shrinking share count. Earnings above $15 per share meet a market willing to pay a secular rather than cyclical multiple.

Bear Case

The bear case activates when DRAM contract prices roll over while the 10-year sits near 5%. Memory customers cut capex roughly 30% within two quarters, the inventory Lam built to serve an $8.1 billion run-rate becomes a write-down candidate, and free-cash-flow conversion stays stuck below 70%. Peak-cycle earnings and a peak-cycle multiple then deflate together — the classic semicap double hit. A one-third EPS decline against a low-twenties multiple implies a share price materially below today's anchor.

Behavioral Alpha Signals

Sentiment, repricing cycle, crowd narrative, catalyst, and macro alignment.

Expected Volatility Regime: High

Greed and Fear Index: +38 / 100 (Greed)

+38

Cycle Position: Momentum

Price action and thesis reinforcement are feeding each other.

EarlyAwareMomentumOvershootReversalCapit.StabilizeMOMENTUM
Figure: Advisor position within the seven-stage market-recognition cycle. The highlighted point marks Momentum.
What does Media Tell? (Crowd Consensus)

The settled belief is that Lam is an AI-infrastructure compounder whose cycle has been abolished: 78% of fifty ratings are Buy or Strong Buy, average target $375.94 against $288 . Next-quarter revenue estimates were revised up 19.7% in three months — the Street is chasing the ramp, not anticipating it. The anchoring bias is the 50x trailing multiple, which frames the debate as expensive-but-growing rather than cyclical-and-reflexive.

What Crowds Get Wrong? (Alpha/Value Gap)

The crowd modestly underestimates near-term earnings power while materially underestimating cycle risk — two errors that partly cancel, leaving the shares roughly fairly priced with an upward tilt. The overlooked evidence is arithmetic: the September guide of $8.1 billion and $2.15 EPS annualises to roughly $8.60, so $288 is 33x forward, not 50x trailing. The blind spot is the other side — free-cash-flow conversion collapsed from 101% to 67% in fiscal 2026 while buybacks plus dividends exceeded free cash flow. Quality is degrading as earnings explode.

When will Value Gap Repricing Happen? (Repricing Catalyst)

The 21 October 2026 print is the hard trigger: delivering $8.1 billion revenue at 52% gross margin forces the Street to reprice off a run-rate rather than a trailing base . The first observable sign is fiscal-2027 consensus moving decisively above $8.50 EPS from $7.91 .

How is Asset Influenced by Macro Regime?

The macro wind is in its face on valuation and at its back on demand. A 5.0% 10-year yield and a Fed still tightening compress what investors pay for cyclical equipment earnings, while AI capex — funded by hyperscaler cash flow, not credit — remains rate-insensitive. The thesis is far more exposed to a discount-rate regime shift than to a credit event.

Lam Research: Positive & Negative Factors, Risks & Opportunities

Analyzed by The Polymath Framework using the Opus 5 model

Base-Case Forces

Top Drivers / Tailwinds

Base-case positive forces

Structural or operating forces that support this advisor thesis. Base-case means above 70% probability of occurrence. Probabilities are model estimates; unquantified forces retain their published group.

Scroll to view all columns

Top Drivers / Tailwinds with asset-specific estimated impacts and thesis rationale
Driver / TailwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Memory Capex Supercycle Feeds THE ETCH MSector And Industry+55%+90%The decisive fact: Lam guided the September 2026 quarter to $8.1 billion revenue against fiscal-2026's $23.2 billion full year . SEMI now projects WFE rising 21.8% in 2027 and 14.1% in 2028 toward $200 billion, with DRAM equipment reaching $56.9 billion . AI training and inference convert directly into high-bandwidth-memory and NAND tool orders, and Lam's etch/deposition share of memory spending is disproportionate. Persists while hyperscaler capex compounds.
Architecture Change Raises TOOL IntensitInnovation And Product+30%+35%Gate-all-around logic, 1c-node DRAM and 200-plus-layer 3D NAND each require more etch and deposition steps per wafer, mechanically expanding Lam's served market as a percentage of WFE regardless of wafer volumes . Striker ALD and Vantex cryogenic etch are winning critical layers; management targets a high-thirties SAM share . This is a structural intensity shift, not a cyclical volume effect, and it survives a capex digestion year.
Operating Leverage Compounds INTO MID 40Operational Efficiency+25%+30%Gross margin reached 51.7% GAAP in the June 2026 quarter, a twenty-year high, with the September guide at 52.0% and operating margin 39.5% . R&D grew 13.3% while revenue grew 26.0% in fiscal 2026, so opex is expanding materially slower than sales. Management raised the long-term framework to mid-50s gross and mid-40s operating margin . Installed-base spares, upgrades and advanced services carry the richest incremental margin and are recurring.
Share Count Shrinks While Dividends STEPCapital Allocation+15%+9.0%Lam repurchased $3.85 billion of stock and paid $1.27 billion of dividends in fiscal 2026, then raised the quarterly dividend 27% to $0.33 in August 2026 . Continuous buyback at roughly 1% net yield plus growing distributions converts a cyclical earnings stream into rising per-share economics. With debt-to-equity at 0.33 and interest coverage above fifty times, the programme is fundable through a downcycle rather than only at the peak.
Top Frictions / Headwinds

Base-case negative forces

Expected frictions that can slow, cap, or damage this advisor thesis. Base-case means above 70% probability of occurrence. Probabilities are model estimates; unquantified forces retain their published group.

Scroll to view all columns

Top Frictions / Headwinds with asset-specific estimated impacts and thesis rationale
Friction / HeadwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
FIVE Percent LONG BOND Crushes CyclicalMacroeconomic And Macrofinancial-30%+0.0%The US 10-year closed at 4.998% on 18 September 2026 after the Fed's unanimous hike to 3.75%-4.00%, with the median dot implying another increase. A stock at 50x trailing and roughly 33x a guided run-rate is maximally duration-sensitive: each 50bp of real-rate repricing removes several multiple points without a single bad Lam datapoint. Persistent 3.4% headline inflation makes the easing that would reverse this compression slow to arrive.
Memory Prices FUND Their OWN ReversalSector And Industry-25%-20%The 2026 semiconductor revenue surge was driven primarily by DRAM and NAND price increases; ex-memory growth was far lower . Memory-price-funded capex is the most reflexive capital in the industry, inflating while contract prices rise and evaporating within two quarters of a rollover. SEMI revised 2027 WFE growth from 7.3% to 21.8% inside seven months , evidence that visibility beyond four quarters is poor. One digestion year inside the horizon is near-certain.
Domestic Chinese Toolmakers Climb THE LACompetitive Positioning-12%-9.0%Export restrictions that lock Lam out of Chinese mature-node fabs simultaneously guarantee Naura, AMEC and peers a protected domestic market in which to iterate etch and deposition platforms. Applied Materials and Tokyo Electron contest the same GAA and advanced-packaging layers. Over five years this compresses the pricing umbrella at trailing-edge nodes and raises the cost of defending share, a slow tax on the mid-50s gross-margin ambition rather than a sudden shock.
China Safety NET Already CUT AWAYPolitical And Geopolitical-12%-10%China fell to 26% of sales in the June 2026 quarter from 43% three quarters earlier, a structural loss management sized near $600 million for the calendar year under the 50% affiliate rule . Taiwan and Korea absorbed the gap, but concentration merely migrated: two geographies now carry 47% of revenue. Export-control policy remains live rather than settled , and high-margin mature-node Chinese service revenue erodes permanently.

Risks & Opportunities

Top Risks / Downside Scenarios

Lower-probability downside scenarios outside the base-case forecast.

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How to understand these AI forecasts

How does an AI-generated forecast for Lam Research differ from Wall Street analyst consensus?

Wall Street consensus aggregates estimates from human analysts. For listed companies, these typically include brokerage price targets, earnings forecasts and ratings. iPulse AI's forecast for Lam Research is a separate AI consensus generated through its own research workflow. Different inputs, forecast dates, assumptions and weighting can therefore produce different targets.

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If iPulse AI produces thousands of investment reports - work estimated to require over 100,000 traditional analyst hours - isn't that just "AI slop" at scale?

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Each report presents one AI advisor configuration's analysis of Lam Research, including its investment framework, assumptions, forecast path, drivers, and risks. The reports provide different analytical perspectives on the same asset so you can examine the reasoning behind their conclusions.

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The individual forecasts show each advisor's reasoning and outlook. The AI Consensus synthesizes those views into an overall assessment of Lam Research. Start with the consensus for an overview, then explore individual reports to understand the strongest supporting arguments, objections, and disagreements.

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Why do the AI advisors disagree about Lam Research?

Different frameworks emphasize different evidence and assumptions. One may prioritize valuation, another technological growth, and another macroeconomic or political risk. Disagreement helps identify which assumptions deserve closer investigation. Agreement can also reflect shared inputs or model behavior, so it should not be treated as proof of accuracy.

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