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Micron has more than tripled in 2026. Deutsche Bank says the rally isn't over

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Micron has more than tripled in 2026. Deutsche Bank says the rally isn't over

Deutsche Bank raised Micron’s price target to $1,500 from $1,000, implying 47% upside, and reiterated a buy rating on continued AI-driven memory tightness. The bank expects revenue of $35.1B for the fiscal third quarter, above Micron’s $33.5B outlook, citing stronger memory pricing and a persistent supply-demand imbalance through 2H26 and beyond. Micron shares are already up 258% year to date, but the upgraded target and constructive estimates support further upside.

Analysis

The real trade here is not just Micron beta, but the duration of the memory upcycle. If pricing stays tight through the next 2-3 quarters, the market will keep re-rating not only MU earnings power but also the capital intensity of the entire AI infrastructure stack, because scarce memory becomes a bottleneck that can delay server deployment schedules and force buyers to prioritize high-margin workloads. That makes the second-order winners the vendors with exposure to AI server buildouts but relatively less memory intensity per unit of compute, while the losers are downstream OEMs and cloud buyers with fixed capex plans that get squeezed by component inflation.

Consensus appears to be underestimating how much of this is already in the stock and how sensitive the setup is to any near-term supply response. Once pricing becomes visible and financeable, supply discipline typically erodes faster than the market expects, so the risk window is 6-12 months rather than 2-3 years; the longer-dated bullish case depends on disciplined capex from the majors and no meaningful substitution in storage architecture. A miss on demand, a sharper-than-expected capacity ramp, or any sign that AI demand is shifting from memory-heavy training to more memory-efficient inference could compress the multiple even if fundamentals remain strong.

The asymmetry favors owning upside into the print, but not chasing outright exposure after a large year-to-date move. The better expression is to own near-dated call spreads into earnings, where implied volatility should remain elevated but directional conviction is high, while financing part of the position by selling farther-dated upside where consensus has already extrapolated a multi-year supercycle. A relative-value long MU versus short a basket of memory-intensive hardware or low-quality semiconductor names can capture the upcycle without paying full-market multiple expansion.