Everything You Never Wanted To Know About Applied Materials ( $AMAT )

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Q4 FY1/26 Earnings Review

by Alex King, CEO, and Claude CoWork, Chief Robot Analyst, Cestrian Capital Research.

Before we dive into the detail, I thought it worth updating everyone on what some of these semicondoctor capital equipment companies actually do. If you are a sector expert already, you can skip this part, unless like me you thought you knew it all but in fact it turns out that the pace of development in chip fabrication has sped up and if you don’t know why Gate-All-Around matters to most everyone in the supply chain then …. well you’d better read this section.

I am having a whale of a time using Claude CoWork by the way. I am using it to answer a lot of questions I myself have about stocks, underlying numbers and correlations etc. I hope you find this expanded earnings analysis useful. As always, if you are an Inner Circle subscriber, hit me up in chat if you need more or you want to discuss the conclusions or data.

The backgrounder on $AMAT is no-paywall - if you’re not a Circle or an Inner Circle subscriber, you’ll hit a paywall before we get to the good stuff about numbers and charts and whatnot.

Applied Materials ($AMAT) - Investor Précis — March 2026

by Claude CoWork, prompted and edited by Alex King

 What the Company Does

Applied Materials is one of the three largest semiconductor equipment companies in the world alongside ASML and Lam Research. Founded in 1967 and headquartered in Santa Clara, it sits at the point where chip design intent becomes physical reality: its machines manufacture the transistors, memory cells, wiring, and interconnects that every semiconductor device on earth depends upon. Without Applied Materials’ tools, there are no chips — not for AI, not for smartphones, not for the car, the datacenter, or the medical device.

The semiconductor fabrication process involves hundreds of discrete steps to build up an integrated circuit layer by layer on a silicon wafer. Applied Materials makes equipment for the critical materials-engineering steps in that process: depositing ultra-thin layers of material (CVD, PVD, ALD), etching away unwanted material with extreme precision, cleaning wafer surfaces, implanting ions to alter electrical properties, polishing surfaces flat, and measuring whether each step achieved the intended result. The one major process step where Applied Materials does not compete is photolithography — the exposure of circuit patterns onto wafers — which is dominated by ASML.

What makes Applied Materials structurally distinctive within the equipment sector is breadth. It is the only wafer-fabrication equipment company that competes meaningfully across all three of the sector’s major technology domains: deposition, etch, and process control (metrology and inspection). Competitors like Lam Research are strong in etch and deposition but not in process control; KLA dominates process control but does not compete in the deposition or etch markets. Applied Materials must therefore be considered in its own category — a near-complete toolbox for the chip manufacturing process flow.

Business Model: Three Segments, One Moat

Applied Materials operates through three reportable segments, each with a distinct economic character.

Semiconductor Systems (approximately 73% of revenue) is the equipment business itself — the sale of capital tools to chipmakers. Revenue here is cyclical and tied directly to how aggressively foundries and memory makers are investing in new capacity or technology upgrades. TSMC, Samsung, SK Hynix, Micron, and Intel are the anchor customers. Because these customers are building factories that must run for 20–30 years, the decision to qualify a particular tool from Applied Materials — a process that typically takes 12–24 months of testing and validation — is not reversed lightly. Once qualified, Applied Materials is deeply embedded in the production process.

Applied Global Services (AGS, approximately 22% of revenue) is the installed-base monetisation business: spare parts, service contracts, software licences, and technology upgrades for the millions of tools Applied Materials has sold over its 57-year history. More than two-thirds of AGS revenue is now subscription or contracted — this is the recurring, high-visibility portion of the business. AGS grows steadily as the installed base expands and as process complexity increases (more steps means more servicing, more parts, more upgrades). It also acts as a partial shock-absorber during equipment downturns: chipmakers maintain their fabs even when they slow their capex.

Display and Other (now reported within Corporate and Other, approximately 5% of revenue) covers tools for making flat panel and OLED display screens. This segment is smaller, more volatile, and tied to consumer electronics capex cycles. It is not a major factor in the investment thesis.

The aggregate moat is formidable. An R&D budget exceeding $3 billion per year sustains Applied Materials’ ability to stay at the frontier across a uniquely wide technology perimeter — a budget that smaller competitors simply cannot match. The breadth of portfolio means that chipmakers cannot avoid Applied Materials when planning a new fabrication facility. And the installed base ensures that AGS revenues compound year after year regardless of the near-term equipment cycle.

Why AI Has Been A Structural Tailwind for AMAT

The AI buildout has benefitted Applied Materials in three structurally distinct ways.

First, leading-edge logic. Every AI chip — whether a GPU from NVIDIA, a custom ASIC from Google or Amazon, or an inference accelerator from any hyperscaler — is manufactured on the most advanced process nodes at TSMC or Samsung. These leading-edge nodes (currently at the 3nm and 2nm frontier) require the most sophisticated deposition and etch tools that Applied Materials makes. Applied’s revenue content per wafer start is highest at the leading edge, so the AI-driven acceleration of leading-edge fab investment directly expands Applied Materials’ addressable opportunity per tool sold.

Second, High-Bandwidth Memory (HBM). Every AI GPU or AI ASIC requires HBM — a form of stacked DRAM that provides the enormous data bandwidth that AI models demand during training and inference. HBM production is dramatically more process-intensive than conventional DRAM, requiring many additional deposition, etch and bonding steps for each layer of the stack. Applied Materials holds more than 50% share of HBM packaging process equipment. As AI scales, HBM volumes scale with it — and Applied Materials captures a disproportionate share of the resulting equipment spend.

Third, Advanced Packaging. AI systems increasingly combine multiple chips in a single package — stacking HBM alongside a compute die, or connecting multiple compute chiplets together. This ‘heterogeneous integration’ is a new and growing equipment market, and Applied Materials claims the number-one position in advanced packaging tools. Hybrid bonding, wafer-level packaging, and 3D chiplet stacking are all in their early innings; each represents incremental equipment revenue that did not exist five years ago.

Management described current market conditions as a ‘super cycle’ in early 2026, and the company expects its semiconductor equipment business to grow more than 20% in calendar year 2026 — driven primarily by leading-edge foundry and logic, DRAM, and HBM. Customer engagement now provides more than 12 months and in some cases 24 months of forward visibility, which is unusually high for a business that has historically operated with shorter order cycles.

Financial Snapshot

Applied Materials reported record full-year revenue of $28.4 billion for fiscal year 2025 (ending October 2025), up 4% year-on-year, with AGS alone reaching a record $6.4 billion. Q1 fiscal 2026 (quarter ending 25 January 2026) produced revenue of $7.01 billion, broadly flat year-on-year but above consensus; non-GAAP EPS was $2.38. GAAP gross margin stood at 49.0% and operating income at $1.83 billion (26.1% margin). The quarter generated $1.69 billion of cash from operations.

Capital returns are substantial: in Q1 FY2026 alone the company returned $702 million to shareholders ($337 million in buybacks, $365 million in dividends), reflecting the business’s confidence in its cash generation and a balance sheet with no leverage concerns. For Q2 FY2026, management guided to revenue of approximately $7.65 billion (±$500 million) and non-GAAP EPS of approximately $2.64 (±$0.20) — a meaningful sequential step-up that would represent accelerating momentum into the AI buildout.

The Investment Case and Key Risks

The bull case on Applied Materials rests on three legs: structural demand growth driven by AI, a competitively entrenched position across that entire demand wave (logic, memory, packaging simultaneously), and a recurring AGS business that provides earnings resilience through any equipment downturn. The company is the only equipment provider that captures revenue across all three AI-driven spending vectors at once. If the AI capex cycle proves durable — and the hyperscaler spending commitments for 2026 and beyond suggest it will be — Applied Materials is positioned to grow earnings faster than the overall WFE market.

The principal risk is China. China has accounted for approximately 35% of Applied Materials’ revenue in recent periods, driven largely by Chinese chipmakers expanding mature-node capacity. US export restrictions are tightening progressively, and management has already quantified a $600 million revenue headwind in fiscal 2026 from existing licensing constraints. A further escalation in restrictions — a plausible scenario given the current geopolitical climate — could extend that headwind and also affect the AGS business’s ability to service tools already installed at Chinese fabs.

Valuation is the second constraint. Applied Materials trades at approximately 31–34 times forward earnings — roughly twice the stock’s 10-year median multiple of approximately 18 times. This premium reflects the market’s recognition that the AI super-cycle is real and that Applied Materials is a high-quality beneficiary. However, it leaves limited margin for error: any earnings miss, any guidance cut, or any sign that the AI capex cycle is cooling could compress the multiple rapidly. The stock prices near-flawless execution.

A third risk is cycle sensitivity. Despite the secular AI tailwind, semiconductor equipment spending remains capital-intensive and lumpy. Customers can defer or defer tool orders. If leading-edge fab ramps at TSMC or Samsung are delayed, or if memory capex slows, Applied Materials’ Semiconductor Systems revenue will feel it quickly. The AGS buffer is real but not large enough to fully offset a major equipment cycle downturn.

Bottom Line

Applied Materials is not a trade on a single technology trend — it is the broadest and most deeply embedded toolbox in semiconductor manufacturing, positioned to benefit from AI capex across leading-edge logic, memory, and advanced packaging simultaneously. Its installed base generates durable, high-margin recurring revenue through AGS that makes the business more resilient than a pure equipment-cycle play. The R&D scale and customer switching costs provide a competitive moat that is genuinely difficult to replicate.

The investment case is compelling but not without its price. China remains a material and growing risk, the stock’s valuation leaves limited margin for error, and the WFE cycle — however secular the AI theme — remains subject to the timing decisions of a small number of very large customers. For an investor comfortable with semiconductor-cycle exposure and with a multi-year horizon, Applied Materials represents one of the highest-quality ways to participate in the AI infrastructure buildout — not via chips, but via the machines that make them possible.

Alright. I want now to move on to financial analysis - then the chart and our outlook for the stock.

AMAT - Financial Fundamentals, Valuation, Stock Chart And Rating

Highlights as follows: