Analog Devices reported $3.16B in Q1 FY2026 revenue, up 30% year over year.1 The stock has gained 57.3% year to date, making it one of the strongest performers in the semiconductor sector.1
Applied Materials beat Wall Street expectations in Q2 FY2026.2 The company supplies equipment used to manufacture chips — a business directly tied to fab expansion driven by AI infrastructure demand.
Both results come as the 10-Year Treasury yield climbed from 3.97 to 4.32.1 Rising rates typically pressure growth stocks. Semiconductor names outperformed anyway, signaling conviction in the AI spending cycle.
TSMC's move to join the EPIC Platform as a founding partner adds further evidence of sustained fab buildout.1 TSMC is the primary manufacturer for AI accelerators. Its commitment to the platform points to continued capacity expansion — which feeds equipment demand for companies like Applied Materials.
The investment thesis rests on hyperscaler capital expenditure. Microsoft, Amazon, and Alphabet have each committed to data center spending above $50B annually.1 If those budgets hold, demand for advanced chips — and the equipment and analog components needed to build them — remains structural, not cyclical.
Analog Devices occupies a specific niche in this buildout. Its analog and mixed-signal chips manage power conversion and signal integrity inside AI servers and networking infrastructure. As rack densities rise, so does the complexity of power management — a direct tailwind for ADI's product lines.
Applied Materials benefits upstream. Every new fab expansion or process node transition requires new deposition, etch, and inspection equipment. AI chip complexity, driven by leading-edge nodes at TSMC and others, sustains equipment refresh cycles.
Forward guidance revisions over the next two quarters will be the key test. Sustained revenue growth above 20% year over year through Q4 FY2026 would confirm the AI infrastructure cycle has further runway for both names.
The risk is a pullback in hyperscaler capex commitments. Any downward revision from Microsoft, Amazon, or Alphabet would ripple quickly into semiconductor equipment and analog chip order books.
