Micron Technology has already delivered one of the most extraordinary semiconductor rallies of 2026, but one Wall Street analyst thinks investors may still be dramatically underestimating what comes next. D.A. Davidson analyst Gil Luria raised his price target on Micron stock to a Street-high $3,000 from $2,100 on Wednesday while maintaining a Buy rating, arguing that artificial intelligence is transforming memory from a notoriously cyclical commodity business into something capable of producing far more durable earnings. With Micron trading around $1,018 before Wednesday’s opening bell, the target implies roughly 195% upside—essentially suggesting the stock could nearly triple from current levels.
That sounds extraordinary until the earnings numbers behind the call are examined. Micron just reported fiscal fourth-quarter revenue of $54.23 billion, more than four times the prior-year level, while adjusted earnings reached $33.42 per share. Management then guided fiscal first-quarter 2027 revenue to approximately $61.5 billion, plus or minus $1.5 billion, with adjusted earnings around $38.15 per share. Customer commitments are expanding, memory supply remains tight, AI data centers are consuming enormous quantities of high-performance DRAM and HBM, and Micron says the imbalance between demand and supply could persist through 2028.
But the $3,000 call isn’t really about whether Micron can sell more memory next quarter. It rests on a much bigger and more controversial argument: that investors should stop valuing Micron like the old Micron.
D.A. Davidson’s $3,000 Micron Stock Target
The most important part of D.A. Davidson’s call isn’t actually the $3,000 number. It is the valuation multiple used to get there. Luria’s previous $2,100 target applied roughly 13 times forward earnings, while the new target values Micron at approximately 19 times the firm’s fiscal 2027 earnings estimate. The analyst’s argument is that investors are still early in understanding Micron’s new earnings power and will eventually assign the company a valuation closer to the broader market rather than the deeply discounted multiple historically associated with memory manufacturers.
That would represent a profound shift because Micron has traditionally traded cheaply for a reason. Memory is one of the semiconductor industry’s most cyclical businesses. When DRAM and NAND supply is tight, prices rise quickly and manufacturers can generate spectacular profits. Those profits then encourage additional investment, new capacity eventually enters the market, supply catches demand and memory prices collapse. Investors have therefore learned to treat enormous peak-cycle earnings cautiously rather than assigning them the valuation multiples typically awarded to companies with predictable long-term growth.
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D.A. Davidson believes AI is breaking that pattern. Micron currently trades at roughly six to seven times forward earnings despite the extraordinary growth in revenue and profits, while the broader equity market commands a substantially higher multiple. Luria’s $3,000 target effectively says that gap should narrow because Micron’s earnings are becoming more durable than the market appreciates.
That is the entire investment debate compressed into one number.
Micron doesn’t need earnings to triple for the stock to approach $3,000. It needs investors to believe those earnings won’t disappear.
AI Has Turned Memory From a Supporting Actor Into Critical Infrastructure
The reason Wall Street is reconsidering memory economics begins inside AI servers. Generative AI models require enormous amounts of computing power, but GPUs alone cannot perform the job. Those processors need increasingly large quantities of extremely fast memory located close enough to feed data into the chips without creating bottlenecks, making high-bandwidth memory, or HBM, one of the most strategically important components inside modern AI infrastructure.
As models become larger and AI systems move toward more sophisticated reasoning and agentic workloads, memory requirements can increase substantially. That means Nvidia, AMD and custom AI accelerators may become more powerful while simultaneously requiring more expensive memory surrounding each processor. Memory is no longer simply an inexpensive component sitting beside the glamorous GPU; increasingly, it is one of the technologies determining how much useful performance the entire system can deliver.
That shift is helping create conditions Micron has rarely experienced. Instead of memory suppliers desperately searching for customers during an oversupply cycle, major technology companies are competing for access to future production. Micron has said customer demand is exceeding what it can currently supply, and management expects the memory supply-demand imbalance—particularly in DRAM—to remain tight through 2028.
That scarcity is exactly what gives the $3,000 bull case its power. If AI infrastructure spending remains enormous and memory capacity cannot expand quickly enough, Micron could potentially sustain pricing and margins at levels that would have looked impossible during previous memory cycles.
But there is another development that may matter even more than HBM prices.
Customers are signing contracts.
Micron’s $150 Billion Backlog Is Changing the Old Boom-and-Bust Formula
One of the biggest problems with valuing a traditional memory manufacturer has always been visibility. A company can appear incredibly profitable at the top of a cycle only for falling prices to destroy earnings several quarters later. Micron is attempting to reduce that uncertainty through long-term agreements with major customers.
The company now has 26 strategic customer agreements, with some extending through 2031. Micron has said those agreements are expected to cover more than 35% of revenue through 2030, while remaining performance obligations have climbed to approximately $150 billion, up from around $100 billion only one quarter earlier. Customer commitments supported by cash deposits have risen to roughly $32 billion from $22 billion in June.
That is potentially transformative.
Long-term agreements don’t eliminate memory cycles, but they can make them considerably less destructive. If customers commit to buying capacity years in advance under pricing frameworks that include floors, Micron gains better visibility into future revenue and margins while customers secure access to scarce supply. D.A. Davidson has emphasized that the $150 billion remaining-performance-obligation figure is based on contractual floor pricing, meaning realized revenue could ultimately be higher if market prices remain elevated.
Management’s confidence goes further. According to reporting around the latest results, Micron has indicated that even at contractual floor prices, margins could remain meaningfully above previous cycle peaks.
That is the kind of statement capable of changing how Wall Street values a company.
If the floor of the next memory cycle resembles the peak of the old one, a six-times earnings multiple becomes increasingly difficult to justify.
Micron’s Latest Earnings Make the $3,000 Call Look Less Absurd Than It Sounds
The scale of Micron’s recent financial acceleration is difficult to overstate. Fiscal fourth-quarter revenue reached $54.23 billion, compared with $11.32 billion a year earlier, while adjusted earnings reached $33.42 per share. Management’s fiscal first-quarter outlook calls for revenue between approximately $60 billion and $63 billion, centered at $61.5 billion, with adjusted EPS expected around $38.15.
Those figures explain why Micron’s valuation has remained surprisingly low even after the stock’s spectacular rally. The share price has surged more than 250% during 2026 and more than quadrupled over the past year by some measures, yet earnings have expanded even faster. As a result, Micron’s forward valuation has actually remained compressed rather than exploding alongside the stock.
This creates an unusual situation. Investors looking only at the stock chart see a semiconductor company that has already delivered extraordinary gains and may reasonably conclude that much of the AI optimism is priced in. Investors looking at the earnings multiple see something very different: a company generating explosive growth while trading at a fraction of the valuation assigned to many other AI beneficiaries.
D.A. Davidson is betting the second interpretation eventually wins.
The $3,000 target assumes investors stop asking how far Micron has already risen and start asking why a company producing this level of earnings growth should still trade at a single-digit forward multiple.
That argument becomes particularly powerful if memory remains undersupplied.
The Memory Shortage Could Last Through 2028—and That Is the Heart of the Bull Case
Micron CEO Sanjay Mehrotra has said the current supply-demand imbalance, particularly in DRAM, could persist through 2028. The company is increasing investment aggressively, including approximately $25 billion of capital expenditures during the first half of fiscal 2027, but semiconductor capacity cannot be created overnight.
Building a leading-edge memory fabrication plant requires enormous capital, sophisticated equipment and years of planning. Even once a facility is completed, manufacturers need to install tools, qualify production and gradually increase yields before meaningful volumes reach customers. That delay gives existing producers significant pricing power when demand suddenly accelerates faster than capacity.
AI has created exactly that situation.
Hyperscalers are investing extraordinary sums into data centers, while each new generation of AI hardware demands more memory. Reuters reported that major technology companies including Amazon and Alphabet are collectively spending hundreds of billions of dollars on AI infrastructure during 2026, helping keep demand for high-performance memory exceptionally strong.
Meanwhile, Micron, Samsung and SK Hynix are all expanding production. That creates the central question investors must eventually answer: can demand continue growing faster than the industry’s ability to add supply?
For now, the shortage is helping Micron.
Eventually, new factories will test the thesis.
The $3,000 Target Has One Giant Enemy: New Supply
Every semiconductor shortage contains the seeds of the next oversupply cycle. High prices encourage investment, and Micron isn’t the only company spending aggressively.
Samsung and SK Hynix are expanding memory capacity, while Micron itself is bringing additional facilities online between 2027 and 2030. Analysts are increasingly watching 2028 as the point when substantial new industry supply could begin hitting the market. Barron’s noted that investors still want to see how Micron performs when memory pricing is truly tested rather than assuming today’s extraordinary conditions can continue indefinitely.
Recent pricing data provides an early warning that the pace of increases can already fluctuate. TrendForce expects conventional DRAM prices to increase approximately 10%-15% quarter over quarter, still extremely strong but substantially slower than the roughly 60% increase seen during the second quarter. Samsung’s expected results similarly illustrate how enormous profits can coexist with investor concern that memory-price momentum is beginning to moderate.
That doesn’t mean the boom is ending. It means investors are beginning to look beyond today’s shortage toward the eventual normalization of supply.
The $3,000 Micron stock target therefore depends on more than strong 2027 earnings.
It depends on convincing investors that 2028 will not look like previous memory downturns.
A Potential Taiwan Strike Adds Another Risk to an Already Tight Supply Chain
Micron investors also received a reminder Wednesday that supply constraints aren’t purely about semiconductor economics. A union representing workers at Micron’s Taoyuan operations in Taiwan has secured authorization to strike following a dispute over the company’s bonus structure. Roughly 99% of participating union members voted in favor of authorizing a strike, adding uncertainty around operations in one of Micron’s most important manufacturing regions.
The timing is notable because the global memory market is already tight. Any meaningful disruption at an important production site could create additional short-term supply concerns, although authorization does not automatically mean a prolonged work stoppage will occur.
For Micron shareholders, the issue illustrates the other side of operating an increasingly valuable manufacturing network. AI customers desperately want more memory, but producing that memory requires enormous factories, skilled workers, complex equipment and geographically concentrated supply chains.
Micron has been expanding its manufacturing footprint in the United States, Japan and Taiwan partly to increase capacity and partly to diversify production. Those projects could eventually strengthen the business, but they also require extraordinary capital commitments before they generate revenue.
That capital intensity is another reason investors have historically been reluctant to assign memory manufacturers software-like valuations.
D.A. Davidson believes today’s earnings power more than compensates.
A Huge Buyback Could Add Another Catalyst in December
There is another piece of the $3,000 argument that has little to do with HBM technology: share repurchases.
Micron has faced restrictions on stock buybacks connected to government funding under the CHIPS Act, but those limitations are expected to expire in December. D.A. Davidson believes the company could then begin using its rapidly expanding cash generation to repurchase shares more aggressively.
The mathematics are attractive.
If Micron generates enormous free cash flow while its stock continues trading at only six or seven times forward earnings, buying back shares could be highly accretive. Every share retired increases the ownership percentage represented by the remaining shares and can lift earnings per share even if total company profit remains unchanged.
That creates a potentially powerful feedback loop.
AI demand raises memory prices. Higher prices expand earnings and cash flow. Micron uses part of that cash to repurchase shares. The share count declines, increasing EPS. Investors then potentially assign a higher multiple to those larger per-share earnings.
None of those steps is guaranteed.
But D.A. Davidson’s $3,000 target effectively assumes several of them begin working together.
Wall Street Is Bullish on Micron—but Almost Nobody Is This Bullish
The most important context around the $3,000 target is that it sits dramatically above the rest of Wall Street. Estimates cited Wednesday put the average analyst target around $1,535-$1,630, depending on the analyst set being measured, while D.A. Davidson’s $3,000 forecast stands far above consensus.
That gap should make investors cautious.
Price targets are opinions, not promises, and the further a forecast sits from consensus, the more assumptions generally need to go right. For Micron to approach $3,000, investors would likely need to accept that AI has permanently altered memory economics, that current supply constraints will remain durable, that long-term customer contracts will stabilize future profitability and that new manufacturing capacity will not recreate the destructive oversupply cycles of the past.
Those are substantial assumptions.
Yet the consensus itself has been forced to chase Micron higher throughout the year because earnings have repeatedly exceeded expectations. The company’s latest forecast again surpassed Wall Street estimates, and analysts remain overwhelmingly positive despite the stock’s enormous appreciation.
That leaves Micron in an unusual position.
The stock can look expensive on the chart and cheap on the earnings statement at exactly the same time.
The Micron Stock Forecast 2026 Comes Down to Whether AI Has Killed the Old Memory Cycle
D.A. Davidson’s $3,000 target sounds almost absurd when compared with Micron’s roughly $1,000 share price. But the logic behind it is more sophisticated than simply extrapolating the stock’s 2026 rally. The analyst is arguing that Micron deserves an entirely different valuation because the structure of the memory industry itself is changing.
There is evidence supporting that thesis. Revenue has exploded to $54.23 billion in the latest quarter. Adjusted earnings reached $33.42 per share. Management expects another sequential increase to approximately $61.5 billion of revenue in fiscal Q1. Customer agreements stretch as far as 2031, remaining performance obligations have reached approximately $150 billion and management expects memory supply conditions to remain tight through 2028.
If those conditions persist, today’s six-to-seven-times forward earnings valuation could indeed look extraordinarily conservative. A rerating toward D.A. Davidson’s 19-times framework would produce a dramatically higher share price even without requiring another fourfold increase in revenue.
But the old Micron hasn’t disappeared yet.
Memory remains capital intensive. Samsung and SK Hynix are adding supply. Micron itself is spending billions on new factories. Conventional DRAM price increases are already moderating from extraordinary levels, and the market still hasn’t seen how the new long-term contracts behave during a genuine industry downturn.
That is why the $3,000 target matters even if Micron never reaches it.
It forces investors to answer the most important question surrounding the company: Is Micron still a cyclical memory manufacturer temporarily enjoying the greatest shortage in its history, or has AI transformed memory into scarce infrastructure deserving a fundamentally higher valuation?
If the first answer is correct, the stock’s spectacular 2026 rally may already reflect much of the opportunity.
If the second is correct, D.A. Davidson’s seemingly outrageous target suddenly becomes easier to understand.
Micron doesn’t need AI demand merely to stay strong for another quarter. It needs the current memory shortage, long-term customer contracts and explosive earnings growth to convince Wall Street that the next downturn will look nothing like the last one.
At $3,000, D.A. Davidson isn’t just betting on Micron selling more memory. It is betting that AI has finally broken the cycle that kept Micron stock cheap for decades.
Disclaimer
This article is for informational purposes only and does not constitute financial or investment advice. Readers should conduct their own research and, where appropriate, consult a qualified financial advisor before making investment decisions. This article was researched and drafted with the support of AI, then reviewed, fact-checked, and edited by the editorial team before publication.
