Wall Street’s New Micron Thesis: It’s Not Just About the Next Beat Anymore

Analysts raise Micron price targets to as high as $1,000, citing sustainable AI demand, HBM market share gains, and a fully booked 2026 production capacity.

The conversation around Micron Technology has shifted. Analysts are no longer fixated on whether the memory-chip maker will deliver another earnings surprise — they’re betting the current upcycle has unusual staying power, and the stock is reflecting that confidence.

Shares of the Boise-based company recently traded at around €446, hovering near their 52-week high. The stock has surged roughly 66% since the start of the year, and over a 12-month stretch, the gain has been a staggering 557%.

A Fresh Round of Price Targets

TD Cowen’s Krish Sankar led the charge on April 28, lifting his price target to $660 from $550 while maintaining a Buy rating. His reasoning: the next phase of the rally hinges less on profit surprises and more on how sustainable the current cycle proves to be. Long-term contracts, Sankar argues, are locking in gross margins ranging from roughly 60% on the low end to nearly 90% at the upper boundary. He also points to rising demand for DRAM used in AGI processors as a key pillar supporting cycle durability.

For the May quarter, TD Cowen forecasts earnings per share of $23 — about 20% above consensus. The August quarter estimate stands at $27, roughly 18% ahead of Wall Street expectations.

Sankar isn’t alone in his optimism. Melius Research initiated coverage on April 27 with a $700 target and a Buy rating. Analyst Ben Reitzes views memory-chip makers as core components of the AI ecosystem and argues that a higher valuation is warranted once the market fully prices in the unusual stability of margins and demand in the AI environment.

JP Morgan raised its target to $550, and UBS followed with an increase to $535. Citigroup, meanwhile, trimmed its target to $425 but kept a Buy rating intact. The consensus average price target now sits at roughly $551.

DA Davidson offers the most aggressive scenario. Analyst Gil Luria has set a $1,000 price target, arguing that artificial intelligence is driving an unusually long memory cycle — a fundamental shift for the industry.

HBM Market Share Gains and a Fully Booked 2026

Micron’s position in the lucrative high-bandwidth memory (HBM) market is strengthening. The company’s share is expected to reach about 21% by the second quarter of 2025, which would allow it to overtake Samsung as the second-largest supplier.

The demand is so intense that Micron’s entire HBM production capacity for 2026 is already completely sold out. The company can only serve roughly half the demand from some key customers in the near term, giving it enormous pricing power. Building new fabrication plants takes years, and SK Hynix, a direct competitor, expects memory wafer supply to trail demand by about 20% through 2030.

Micron made history in March by signing the industry’s first five-year supply agreement. Such long-term deals dramatically improve demand visibility and bring price stability to a market traditionally known for volatility.

Record Numbers and What’s Next

The financial results back up the bullish narrative. In the second fiscal quarter of 2026, revenue surged to $23.86 billion, up from just $8.05 billion a year earlier. Net profit reached nearly $13.8 billion. For the current quarter, management guided for revenue of around $33.5 billion and a gross margin target of roughly 81%.

Analysts expect earnings of $18.97 per share for the upcoming quarter, a massive year-over-year increase. Micron has beaten Wall Street’s earnings estimates in each of the last four quarters.

The next major catalyst comes on May 20, when Micron’s management presents at the J.P. Morgan Global Technology, Media and Communications Conference in Boston. Investors will be listening for concrete comments on HBM pricing trends and the durability of the cycle — the very themes that have analysts raising their targets. The subsequent third-quarter earnings report will serve as the real test of whether the AI super-cycle can continue to support the lofty expectations now baked into the stock.