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Lam Research Soars 109% YTD: Is LRCX Stock Still Worth Buying?

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Lam Research Soars 109% YTD: Is LRCX Stock Still Worth Buying?

Lam Research has rallied 109% YTD after reporting fiscal Q1 2026 revenue of $5.32 billion, up 28% year‑over‑year and 2% above consensus, with non‑GAAP EPS of $1.26 (+46.5% YoY, +4.1% vs. consensus) and a non‑GAAP operating margin of 35% (+410 bps YoY). Management cites accelerating AI and datacenter demand—shipments for GAA nodes and advanced packaging topped $1 billion in 2024 and are expected to exceed $3 billion in 2025—while Zacks consensus projects mid‑teens EPS growth and revenues up ~14% in fiscal 2026; the stock trades at a forward P/E of ~29.5 versus the industry at ~34.9, underpinning a buy case.

Analysis

Winners will be semiconductor-equipment OEMs tied to advanced logic, OSATs doing high‑density packaging, and hyperscaler/datacenter vendors that can monetize AI racks; losers are legacy-node-focused vendors, smaller tool vendors with weak roadmap differentiation, and suppliers exposed to cyclical memory capex. The competitive dynamic favors players with GAA/advanced packaging IP and fast delivery; firms that can convert backlog into on‑tool revenue will gain share and pricing power while laggards face margin compression. Supply/demand looks tight on the advanced tool side with meaningful lead‑time risk — orderbooks will drive near‑term pricing and delivery optionality. Cross‑asset: stronger capex expectations should lift industrials and cyclical credit spreads, exert upward pressure on real rates if capex accelerates, compress equipment implied vols (making directional option buys expensive), and support commodity inputs used in fabs (precursors, copper, specialty gases). Key tail risks are regulatory bifurcation (export controls that fragment supply chains), a demand snapback if hyperscalers finish front‑loading, and execution risks around ASML/third‑party dependencies; immediate volatility may be high (days), momentum driven over weeks–months, and structural demand (AI/datacenter) will play out over 6–36 months. Catalysts that can re‑rate the group include customer guidance over/under‑shoots, formal export announcements, and large foundry capital plans. Consensus is likely extrapolating linear AI spend; inventory cycles and margin mean‑reversion are underappreciated. The market may be overassigning permanent share gains to one vendor vs. a multi‑vendor ecosystem — mispricings exist where secular narratives overshadow near‑term cyclical risk. Historical equipment booms show sharp reversals once capex cadence shifts, so position sizing and exit discipline are critical.