Entegris, the semiconductor materials and purity supplier, set a long-term revenuegrowth target of about 15% a year at its Capital Markets Day on 9 November, citing customers’ increasing materials intensity and contamination control requirements, according to its release.
Its presentation puts the target in dollars: revenue of $3.2 billion in 2025 rising to about $6 billion in the long term, defined as three to five years. That is about 1.9 times 2025, or roughly $2.8 billion more, by our arithmetic.
Business Pill · GPUs Explained
An evergreen Business Engineer explainer on GPUs and AI hardware, the chips whose manufacture uses the materials Entegris sells. It teaches the general idea only and does not discuss Entegris.
The key insight: As we read it, the dollar figure is the news the release left out: Entegris’s slides turn “approximately 15%” into revenue of about $6 billion within three to five years, about 1.9 times 2025’s $3.2 billion, by our arithmetic.
The release lists a long-term model of revenuegrowth of approximately 15% a year, adjusted gross margin of approximately 55%, adjusted operating margin of approximately 35% and adjusted earnings per share growth of approximately 30% a year. The release itself gives no target year; the slides define long-term as three to five years.
At 15% a year, $3.2 billion becomes about $5.6 billion after four years and about $6.4 billion after five, by our arithmetic, which brackets the roughly $6 billion on the slide.
Chief executive Dave Reeder said: “AI is driving a new era of semiconductor innovation, accelerating technology transitions and increasing the complexity of device architectures”.
Entegris revenue of $3.2 billion in 2025, about $3.7 billion estimated for 2026 (midpoint of fourth-quarter guidance) and about $6 billion as its long-term target, defined as three to five years, per its Capital Markets Day presentation of 9 November 2026. The 1.9x multiple is our arithmetic.
Why Entegris Says AI Raises Its Content
One slide is headed “AI-era architectures can nearly double materials content per wafer”. It shows material content per wafer rising about 90% for 3D NAND as layers go from 300 to 500-1,000, about 70% for advanced packaging, about 50% for advanced logic moving from FinFET to gate-all-around, and about 40% for DRAM and HBM.
Entegris also puts its served available market at about $12 billion in 2025, rising to about $20 billion in the long term, growth of about 10% a year. Revenue of $3.2 billion against a $12 billion market is about 27%, and $6 billion against $20 billion is 30%, by our arithmetic.
Material content per wafer at the next technology step against today’s baseline, per slide 34 of Entegris’s Capital Markets Day presentation, which cites Lam, UC Berkeley, IBM, IEEE and Entegris. These are Entegris estimates.
Where 2026 Stands and the Cash Returns
The presentation gives 2026 estimates, at the midpoint of fourth-quarter guidance, of about $3.7 billion of revenue, up 17%, an adjusted gross margin of about 48.3% and adjusted earnings per share of about $4.38, up 59%. The adjusted gross margin was 44.6% in 2025, according to the slides.
The board authorized a $500 million share repurchase program, and Entegris expects to raise its quarterly cash dividend by 10% starting in the first quarter of 2027, subject to declaration by the board, the release says. It plans to return approximately 50% of excess cash to shareholders.
As we read the slides, the growth case rests on content per wafer more than on wafer volume: Entegris shows material content rising 40% to 90% at the next technology step in each of four device types.
As we read the market figures, the target also assumes share gains: revenue would go from about 27% of Entegris’s estimated served market in 2025 to 30% in the long term, by our arithmetic on its $12 billion and $20 billion figures.
Dave Reeder, Entegris chief executive, in the release
“As the requirements for materials and purity continue to rise, Entegris is more critical than ever to enabling the industry’s most advanced technologies.”
Three Implications
FOR MARGINS The adjusted gross margin target of about 55% compares with 44.6% in 2025 and about 48.3% estimated for 2026, per the slides.
FOR EARNINGS Entegris targets adjusted earnings per share growth of about 30% a year, twice its revenuegrowth target, by our arithmetic.
FOR SHAREHOLDERS The board authorized a $500 million buyback, and Entegris expects a 10% higher quarterly dividend from the first quarter of 2027, subject to board declaration.
The framework argues: “The job of any operator, investor, or builder is to know which layer they are operating inside and which layer the binding constraint is rotating toward next.”
As we read it, Entegris is placing itself in the foundries and packaging layer and arguing that materials content per wafer rises with each AI-era technology step. The framework predates the Capital Markets Day and does not discuss Entegris.
What Is Not Established
The targets are management’s; Entegris calls them forward-looking and says they rest on assumptions about industrygrowth, market share, pricing, costs and capital spending. The release does not name a target year, and the slides give a range of three to five years rather than a date.
The materials-content figures are Entegris’s estimates citing Lam, UC Berkeley, IBM and IEEE. We did not watch the webcast or contact Entegris.
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Entegris targets about 15% a year of revenuegrowth, from $3.2 billion in 2025 to about $6 billion in three to five years, its slides show; that is about 1.9 times 2025, by our arithmetic.
A note on sourcing. The targets, capital returns and Reeder’s words are from Entegris’s Business Wire release of 9 November 2026. The dollar revenue figures, the three-to-five-year definition, the 2026 estimates and the materials-content figures are from its Capital Markets Day presentation, which we read in full; slide text was extracted from the PDF. We did not watch the webcast or contact Entegris.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
