Micron's target price is significantly raised by investment banks, with a maximum of 3,000 USD

After Micron Technology released another record-breaking performance, investment bank DA Davidson significantly raised its target price from $2,100 to $3,000, making it the highest estimate on Wall Street. This target price implies about 176% upside, based on an extremely optimistic outlook that the storage supercycle will extend to 2028, and that changes in demand-side structure will rewrite the cyclical nature of the storage industry.

DA Davidson’s Head of Technology Research Gil Luria’s core argument is straightforward: AI infrastructure requires more memory than any previous technology cycle, supply cannot keep up, and memory demand will outpace supply in both 2027 and 2028. He specifically noted that this time, the demand comes from the largest companies in the US—Amazon, Microsoft, Google, Nvidia, and Apple—rather than the smaller customers who often defaulted in past cycles.

Since last April, Micron’s stock price has risen approximately 1,500%. The $3,000 target price represents about 19 times its expected earnings for fiscal year 2027. In comparison, Morgan Stanley’s target price for Micron is only $1,200, maintaining an “Overweight” rating—less than half of DA Davidson’s target price—the huge divergence between investment banks constitutes a significant difference in market expectations regarding the “length and height” of the current storage supercycle.

From Luria’s perspective, as competitors in the memory industry are also shifting to long-term contracts, the structural volatility of the traditional memory cycle is being broadly reduced. The implication is: the framework by which the market previously valued Micron as a “cyclical stock” may face a systematic revaluation.

The Supply-Demand Outlook Behind the $3,000 Target

Luria’s bullish view is based on a technological fact: the importance of memory to AI system performance is rising rapidly. He wrote in the report:

“Memory is a key factor in boosting AI performance. The more memory an AI model has, the better the outcomes, the faster it runs, and the longer its context window.”

Based on this, DA Davidson asserts that memory demand will outpace supply in both 2027 and 2028, emphasizing this as a structural shift, not just a cyclical upswing.

Micron’s own performance and statements corroborate this view. Management expects both sales and prices to rise through 2028, stating “Micron is on a growth trajectory for the next 3-5 years, which is something the market has yet to fully recognize.”

In the latest quarterly report, Micron’s single-quarter revenue reached $54.2 billion, a year-on-year increase of 379%, with gross margin climbing to 87%. CEO Sanjay Mehrotra previously disclosed that data center customer purchasing intent was about 150% of dependable supply, and supply-demand tightness would continue beyond 2027.

Demand-Side Transformation: From Defaulting Customers to Tech Giants

The most disruptive argument in Luria’s report is the change in demand structure. He writes:

“Unlike previous cycles, this time the demand comes from the largest companies in the US—Amazon, Microsoft, Google, Nvidia, and Apple—instead of those who frequently default.”

This shift directly addresses the root cause of chronically low valuations in the storage industry. Traditionally, memory chips are seen as classic cyclical stocks, with profits and stock prices fluctuating sharply with the supply-demand cycle, and the market willing to give them only low valuation multiples.

If demand shifts from fragmented small and medium-sized customers to highly creditworthy, capital-expenditure-committed tech giants, and the industry generally moves towards long-term supply agreements, profit predictability will increase significantly. Micron has already signed 26 Strategic Customer Agreements (SCAs), with remaining performance obligations of about $150 billion, and more than 75% of 2027 output already committed by customers.

Expectation Gaps and Risks: Divergence Among Investment Banks and the “Specification Reduction” Debate

The gap between DA Davidson’s $3,000 target and Morgan Stanley’s $1,200 is the most direct division on Wall Street over Micron right now. If Luria’s view of supply-demand imbalance proves correct, Micron stock still has upside; if capital expenditure races on the supply side lead to early capacity release, then the current stock price may already reflect most of the positives. Samsung, SK Hynix, Micron, and CXMT are all accelerating capacity expansion, and the timing of new capacity release will be key to confirming the strength of the supercycle.

Luria’s report specifically refutes the “specification reduction” argument—that chipmakers like Nvidia are reducing memory usage per AI processor, seen by some investors as a bearish signal. He compares it to the auto industry:

If Tesla halves battery capacity per car due to surging demand but doubles unit sales, it ultimately makes more money. In this framework, reducing memory usage could lead to more pent-up demand in future product cycles as performance declines.

Furthermore, the collective DRAM price-fixing lawsuit facing Samsung, SK Hynix, and Micron in the US adds another layer of uncertainty to industry supply actions. Future developments to watch include the ramp-up of Micron’s new capacity and the progress of HBM4E mass production next year.