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BofA reiterates KLA stock rating ahead of analyst day By Investing.com

KLAC
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BofA reiterates KLA stock rating ahead of analyst day By Investing.com

$1,850 price targets were reiterated/issued by BofA, Cantor Fitzgerald and Jefferies after KLA’s Q2 results and ahead of its analyst day. Q2 EPS was $8.85 vs $8.80 consensus and revenue was $3.30B vs $3.25B, while the stock is up 112% over the past year to $1,454.51 and InvestingPro flags the shares as overvalued versus fair value. Analysts cite AI-driven semiconductor equipment demand and a shift in wafer fab mix (logic spending ~62% in 2026 to >64% in 2028) as supportive, though some firms note conservative wafer fab guidance and suggest memory-focused names could outperform over the next 12–18 months.

Analysis

KLA sits at the intersection of two structural forces: higher node complexity (high-NA EUV, new transistor architectures) that mechanically raises inspection/metrology attach rates, and AI-driven concentration of logic capex that front-loads spending into fewer, larger customers. That creates a widening moat for KLA’s software-heavy process control suites and spare parts/service revenue, but it also increases single-customer concentration and sensitivity to node-timing slips. Near-term catalysts are binary and calendar-driven: the upcoming investor day and quarterly guides will reprice expectations within days-to-weeks; material evidence of faster high-NA tool adoption or higher attach rates would justify another re-rating over 6–18 months. Conversely, delays in high-NA availability, a temporary memory-led capex cyclical rebound that shifts WFE mix away from inspection intensity, or incremental export-control frictions could compress multiples quickly. The market is pricing a smooth technical transition — that’s the underappreciated risk. If high-NA EUV scale-up slips by 12–24 months, KLA’s revenue CAGR assumptions for 2026–2028 are the most exposed because inspection demand is lumpy and tied to tool ramp schedules. That makes asymmetric option structures and pair trades more effective than naked long exposure: you want convex upside to a successful ramp, limited downside to timing risk, and a hedge against a memory-driven WFE reallocation over the next 12–18 months.