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Applied Materials (AMAT) Enters a New AI-Driven Growth Cycle

Applied Materials (AMAT) Enters a New AI-Driven Growth Cycle

Applied Materials (AMAT) is experiencing a new growth cycle driven by artificial intelligence, according to recent financial results. The company reported record revenue of $9.12 billion and non-GAAP EPS of $3.50 and $3.17 on a GAAP basis, with gross margins above 50%. This reflects a 13th consecutive quarter of year-over-year gross-margin expansion.

AMAT is not only benefiting from increased semiconductor spending but also gaining market share. Analysts project faster growth in AMAT's Semiconductor Systems revenue compared to the broader semiconductor equipment market, particularly in DRAM, leading-edge foundry/logic, and advanced packaging. The company expects its Semiconductor Systems revenue to increase by 62% to $7.9 billion, with Q4 revenue of ~$10.25 billion (YTD growth of 51%) and non-GAAP EPS of $4.02 (85% YoY growth).

UBS analyst Timothy Arcuri maintains a Buy rating on AMAT's stock, with a price objective of $675. Management aims to double AMAT's systems output capacity by CY 2028, with analysts expecting systems revenue to approach $14 billion per quarter and earnings reaching $30 per share. Key growth opportunities include the rapid expansion of high-bandwidth memory and advanced packaging for AI systems.

The company recently rolled out 6 new systems, targeting DRAM and advanced packaging for HBM stacking, TSV formation, copper plating, and defect analysis. Wall Street believes these products offer AMAT additional exposure to the growing complexity of AI chips. The company's recent expansion in Singapore more than doubles advanced cleanroom capacity, reflecting its expectations of robust demand beyond the current cycle.

While Wall Street remains optimistic about AMAT's growth, the main concern is whether the company can maintain its growth and margin trajectory amid accelerating AI semiconductor spending.

Written by urgent.news from Yahoo Finance's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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