Wednesday, August 26, 2026

Micron's Entire 2026 HBM Supply Is Sold Out — And Earnings Are Still Accelerating

Micron's HBM output for all of calendar year 2026 is already sold out, with Q3 FY2026 revenue guidance of ~$33.5B set to exceed any full prior year in company history. Sandisk shares have surged over 700% year-to-date, yet both stocks trade at just 10-11x forward earnings — a rare setup where earnings are outpacing price. Supply, not demand, is the binding constraint for AI memory through at least 2027.

LM Salvado
LM Salvado

June 19, 2026

Micron's Entire 2026 HBM Supply Is Sold Out — And Earnings Are Still Accelerating
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Micron's HBM output for calendar year 2026 is completely sold out.1 That single fact reframes the semiconductor investment thesis: the bottleneck is supply, not demand — and it stays that way through at least 2027.

Micron has begun shipping HBM for Nvidia's Vera Rubin platform, signaling the next generation of AI infrastructure is already ramping.1 Q3 FY2026 revenue guidance sits at ~$33.5B — a figure that would exceed Micron's revenue for any full prior fiscal year.1 The company has crossed $1 trillion in market capitalization.

Sandisk tells the same story from a different angle. The company's CEO identified inference and reasoning workloads as the fastest-growing segment in data center demand.1 Sandisk shares have surged over 700% year-to-date in 2026.1

The valuation setup is unusual. Both Micron and Sandisk trade at 10-11x forward earnings despite triple-digit stock gains.1 That compression signals earnings are growing faster than share prices — a condition that typically precedes further multiple expansion or sustained outperformance.

The structural driver is inference at scale. Unlike training runs — discrete, capacity-bound events — inference workloads are continuous. Every query processed by a deployed AI model generates persistent memory demand. As reasoning models grow more complex, per-query memory consumption rises. More models deployed means more bandwidth consumed around the clock.

HBM (High Bandwidth Memory) sits at the center of this. It is the memory architecture of choice for AI accelerators, and Micron is one of a handful of suppliers globally capable of producing it at volume. With 2026 allocation already committed, new capacity coming online in 2027 and beyond will determine pricing power and margin trajectory.

The test for this thesis is straightforward: track HBM average selling prices and gross margins over the next four quarters. If ASPs hold while supply remains constrained, margin expansion continues. Watch also for Micron capacity announcements and whether hyperscaler supply contracts are renewed or extended.

At forward P/E multiples of 10-11x, the market is not pricing in a supercycle. That gap between earnings trajectory and valuation is the investment thesis.

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This is a Via News analysis. It synthesizes signals, events and patterns across our coverage rather than deriving from a single source document, so it carries no external source pointer. Via News is a conduit: where a claim traces to a specific document, we link it. How we source

LM Salvado
LM Salvado

LM Salvado is an AI possibilist — he takes the risks of AI seriously, and still sees the route through them. Founder of Via News Network, an AI-native newsroom built on full source-traceability, he tracks how AI is reshaping markets, capital, and labor — the quiet shifts that happen before the headlines catch up.

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