Key Takeaways:
- 24/7 Wall St. rates MU a Sell with a $1,014 target, implying 11.5% downside.
- Shares surged 301% YTD but face insider selling across 96 transactions.
- Bear case targets $738, a 36% drawdown, against 17% bull-case upside.
Key Takeaways:

24/7 Wall St. issued a Sell rating on Micron Technology with a $1,013.82 price target, implying 11.5% downside from $1,145.28.
"After a 4x run, the risk-reward tilts decisively to the downside," the 24/7 Wall St. analyst team wrote, citing extreme stretch from the 200-day moving average of $425.84 and an insider base that is net selling across 96 recent transactions.
The call runs counter to Wall Street consensus. Thirty-nine of 44 covering analysts rate the stock Buy or Strong Buy, with a mean target of $1,410.45. Micron's fiscal third-quarter revenue hit $41.46 billion, up 346% year over year, with non-GAAP earnings per share of $25.11 topping the $20.28 consensus estimate. Gross margin expanded to 84.6% from 37.7% a year earlier as HBM4 memory for Nvidia's Vera Rubin platform entered volume production.
The sell thesis hinges on asymmetry. The model's bull case reaches $1,338.83, offering roughly 17% upside, while the bear case targets $737.55 — a 36% drawdown. The stock sits 12% below its 52-week high of $1,213.56 and has declined 5.5% over the past week. Capital expenditure is exploding, with fiscal 2026 spend above $25 billion and fiscal 2027 construction capex stepping up another $10 billion. A $325 million loss on debt prepayments hit the latest quarter.
Bulls argue this cycle is structural. Chief Executive Officer Sanjay Mehrotra said the quarter "reflects the strategic value of memory in the AI era," and the company has signed its first five-year Strategic Customer Agreement, locking in long-term demand. Management says supply stays tight "beyond calendar 2026."
The risk-reward profile would look more attractive if Micron pulls back toward $1,000 with HBM4E commitments intact, the analysts said. The next major catalyst is the fiscal fourth-quarter report, where management's guidance will test whether the AI-driven memory cycle can sustain its current trajectory.
This article is for informational purposes only and does not constitute investment advice.