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Semiconductors 10 February 2026 - 24 February 2026

Chip stocks brace for holiday week: Applied Materials surges, Nvidia slides — what to watch next

Chip stocks brace for holiday week: Applied Materials surges, Nvidia slides — what to watch next

Applied Materials surprised with a bullish forecast, offering a rare win for U.S. semiconductor names after a turbulent stretch. The chip equipment giant projected second-quarter revenue near $7.65 billion, give or take $500 million, and adjusted earnings of $2.64 a share, plus or minus 20 cents—both clearing Wall Street’s bar. The stock at one point soared more than 10% Friday. Competitors Lam Research and KLA moved higher as well. At least 22 analysts lifted price targets on Applied after the numbers came through. CEO Gary Dickerson credited “the acceleration of industry investments in AI computing” for the jump. Morningstar’s William Kerwin described the moment as “a massive wafer fabrication equipment growth cycle,” pointing to tight supply for high-bandwidth memory chips feeding AI processors.
Micron stock price jumps nearly 10% after CFO says HBM4 shipments have started

Micron stock price jumps nearly 10% after CFO says HBM4 shipments have started

Micron Technology surged 9.9% Wednesday, with shares last trading at $410.34 after hours. The rally followed comments from CFO Mark Murphy, who confirmed the company’s next-generation high-bandwidth memory—HBM4—is already shipping to customers. “We have been in high volume production on HBM4. We’ve commenced customer shipments of HBM4,” said Murphy.
AI stocks today: Cisco’s new chip enters the race as Nvidia faces China guardrails

AI stocks today: Cisco’s new chip enters the race as Nvidia faces China guardrails

Cisco Systems rolled out a fresh switch chip and a router on Tuesday, both built for keeping massive AI clusters humming — a direct shot at Broadcom and Nvidia. The new Silicon One G300, slated for release in the back half of the year and leveraging Taiwan Semiconductor Manufacturing Co’s 3‑nanometer process, comes loaded with “shock absorber” tech to manage sudden data surges. According to Cisco, it could push certain AI workloads up to 28% faster. “We focus on the total end-to-end efficiency of the network,” said Martin Lund, executive vice president at Cisco, in an interview with Reuters.
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