DA Davidson Raises Micron Price Target to $3,000, the Highest on Wall Street

Deep News
6小時前

After Micron Technology (NASDAQ: MU) reported yet another record-breaking quarter, investment bank DA Davidson sharply raised its price target from $2,100 to $3,000, the highest forecast on Wall Street.

This target implies roughly 176% upside, reflecting an extremely bullish judgment that the memory super-cycle will extend through 2028 and that structural changes on the demand side will rewrite the memory industry's cyclical nature.

The core argument from Gil Luria, DA Davidson's head of technology research, is straightforward: AI infrastructure requires more memory than any previous technology cycle, supply cannot keep up, and both 2027 and 2028 memory demand will exceed supply.

He specifically noted that this time demand comes from the largest companies in America — Amazon, Microsoft, Google, Nvidia, and Apple — rather than the small and mid-sized customers that frequently defaulted in previous cycles.

Since last April, Micron Technology (NASDAQ: MU) shares have risen about 1,500%, and the $3,000 target is roughly 19 times its fiscal 2027 earnings estimate.

By contrast, Morgan Stanley's price target for Micron Technology (NASDAQ: MU) is only $1,200 with an "overweight" rating — less than half of DA Davidson's target — and the wide divergence between investment banks constitutes a significant expectation gap in the current market regarding the "length and height" of the memory super-cycle.

In Luria's view, as competitors in the memory industry also shift toward long-term contracts, the structural volatility of the traditional memory cycle is declining across the board.

The subtext of this judgment is that the framework the market previously used to price Micron Technology (NASDAQ: MU) as a "cyclical stock" may face a systemic revaluation.

Supply and Demand Judgment Behind the $3,000 Target

Luria's bullish case rests on a technological fact: memory is rapidly becoming more critical to AI system performance.

He wrote in his report: "Memory is the key factor in improving AI performance. AI models with more memory can produce better results, run faster, and have longer context windows."

DA Davidson accordingly asserts that both 2027 and 2028 memory demand will exceed supply, emphasizing that this is a structural shift rather than a cyclical upturn.

Micron Technology's (NASDAQ: MU) own results and commentary corroborate this judgment.

Company management expects both volumes and prices to rise through 2028, stating that "Micron is on a growth trajectory for the next 3-5 years, and that is precisely the part the market has not yet recognized."

In its most recent quarterly report, Micron Technology (NASDAQ: MU) posted quarterly revenue of $54.2 billion, up 379% year-over-year, with gross margins climbing to 87%; CEO Sanjay Mehrotra previously revealed that data center customers' purchasing intentions are about 150% of committable supply, and supply-demand tightness will persist beyond 2027.

Demand-Side Transformation: From Defaulting Customers to Tech Giants

The most disruptive argument in Luria's report concerns the structural change on the demand side.

He wrote: "Unlike previous cycles, this time demand comes from the largest companies in America — Amazon, Microsoft, Google, Nvidia, and Apple — rather than companies that frequently default."

This change directly addresses the root cause of the memory industry's long-standing valuation discount.

Traditionally, memory chips have been viewed as classic cyclical stocks, with earnings and share prices fluctuating sharply with supply-demand cycles, and the market willing to assign only lower valuation multiples.

If the demand side shifts from fragmented small and mid-sized customers to tech giants with extremely strong credit and clear capital expenditure plans, and the industry broadly moves toward long-term supply agreements, earnings predictability will improve significantly.

Micron Technology (NASDAQ: MU) has signed 26 Strategic Customer Agreements (SCAs), with remaining performance obligations of approximately $150 billion, and more than 75% of its 2027 output has already been committed by customers.

Expectation Gap and Risks: Investment Bank Divergence and the "Spec Downgrade" Debate

Between DA Davidson's $3,000 and Morgan Stanley's $1,200 lies the most visible divergence on Wall Street regarding Micron Technology (NASDAQ: MU).

If Luria's judgment on supply-demand imbalance proves correct, Micron Technology (NASDAQ: MU) shares still have room to rise; if a capital expenditure race on the supply side leads to early capacity release, the current share price may have already priced in most of the upside.

Samsung, SK Hynix, Micron Technology (NASDAQ: MU), and ChangXin Memory Technologies are all accelerating capacity expansion, and the timing of concentrated new capacity release will be key to validating the super-cycle's strength.

Luria specifically refuted the "spec downgrade" thesis in his report — the idea that chipmakers like Nvidia reducing memory usage per AI processor has been interpreted by some investors as a bearish signal.

He used an automotive analogy: if Tesla halved battery capacity per vehicle but doubled sales due to surging demand, it would ultimately earn more. Under his framework, reducing memory usage would create more pent-up demand in future product cycles due to performance degradation.

Additionally, the DRAM price-fixing class action lawsuits facing Samsung, SK Hynix, and Micron Technology (NASDAQ: MU) in the United States add further uncertainty to industry supply behavior.

Going forward, investors should watch the ramp-up progress of Micron Technology's (NASDAQ: MU) new capacity and the mass production progress of HBM4E next year.

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