Applied Materials delivered record fourth-quarter and full-year fiscal 2026 results, supported by accelerating investment in semiconductor manufacturing and infrastructure for artificial intelligence. The performance underscores how AI-related demand is translating into higher orders for the equipment used to produce advanced chips, while the company’s latest guidance points to continued momentum into fiscal 2027.

Record Quarterly Results Reflect Strong Semiconductor Investment

For the fourth quarter ended October 25, 2026, Applied Materials reported revenue of $10.41 billion, up 53% from $6.80 billion a year earlier and above the market estimate of approximately $10.30 billion. Non-GAAP earnings per share reached a record $4.16, increasing 92% year over year and exceeding the estimated $4.05.

Profitability also strengthened. Non-GAAP gross margin reached 50.6%, compared with 48.0% in the prior-year quarter, while non-GAAP operating income increased to $3.68 billion. The company generated $3.30 billion in cash from operations and reported free cash flow of approximately $2.6 billion, demonstrating its ability to convert higher sales into substantial cash generation.

On a GAAP basis, quarterly gross margin was 50.4%, operating income reached $3.66 billion, and diluted EPS was $3.40. The distinction between GAAP and non-GAAP results remains important when evaluating the company’s performance, as adjusted figures exclude certain expenses and other specified items.

Semiconductor Systems Leads Growth as AI Infrastructure Expands

The Semiconductor Systems business was the principal growth engine, generating approximately $8.0 billion in quarterly revenue, an increase of 64% year over year. Applied Global Services contributed $1.9 billion, up 26%, while Display, Corporate and Other revenue reached $517 million, an increase of 25%.

The strength in Semiconductor Systems reflects the growing complexity of chip manufacturing. AI accelerators and advanced computing processors require sophisticated fabrication processes, while memory manufacturers are also investing in technologies needed to support high-bandwidth memory and expanding data-center workloads. These requirements increase the importance of deposition, etch, inspection and other wafer-fabrication technologies supplied by equipment manufacturers such as Applied Materials.

For the full fiscal year, revenue reached a record $34.45 billion, up 21% from fiscal 2025. Non-GAAP EPS increased 37% to $12.89, while non-GAAP gross margin reached 50.1%. The annual performance indicates that the latest quarter was part of a broader expansion rather than an isolated improvement.

Fiscal 2027 Guidance Points to Further Growth

Applied Materials expects first-quarter fiscal 2027 revenue of approximately $11.10 billion, with a range of $10.60 billion to $11.60 billion. Non-GAAP diluted EPS is projected at $4.35, plus or minus $0.20. Both outlook figures exceed the estimates cited in the market snapshot, suggesting management anticipates that demand for semiconductor manufacturing equipment will remain firm.

The company also returned substantial capital to shareholders during the fourth quarter, distributing approximately $2.42 billion through $2.00 billion in share repurchases and $421 million in dividends. This capital allocation was supported by record operating cash generation, although future distributions will remain dependent on cash requirements, investment priorities and market conditions.

Looking ahead, the central question is whether AI-related semiconductor investment can sustain its current pace and translate into durable equipment demand across logic, memory and advanced packaging. Investors will be monitoring customer capital-spending plans, the timing of new fabrication capacity, gross-margin trends and the conversion of strong orders into cash flow. Applied Materials enters fiscal 2027 with record financial results and a positive near-term outlook, but the durability of the AI investment cycle and the broader semiconductor industry’s spending patterns will remain important determinants of its performance.