Micron Technology, Inc.

(NASDAQ Global Select)
Somewhat Bullish +45

Trading expert sets date when Micron (MU) stock will crash to $400

πŸ“‰ Technical analysts project Micron stock could correct to $400 by early June 2027 based on historical price patterns from the Dot-com bubble era.

πŸ“ˆ Fiscal Q4 2026 revenue hit a record $54.23 billion, up 31% sequentially and 379% year over year driven by AI demand.

πŸ’° Non-GAAP earnings per share reached $33.42, beating analyst estimates of $31.6 with gross margins expanding to 87%.

🏭 The Data Center Business Unit generated $18 billion in revenue, a 56% sequential increase fueled by high-bandwidth memory (HBM) demand.

πŸ“… Micron forecasts fiscal 2027 revenue of $61.5 billion with non-GAAP EPS expected to reach $38.15.

🀝 The company has signed 26 multiyear strategic customer agreements, some extending into 2030–2031, securing future demand visibility.

⚠️ Over 75% of fiscal 2027 shipments are already committed, with much of next year's HBM output sold at higher prices.

βš–οΈ Micron recently settled a patent dispute with Netlist for $600 million, including a five-year license agreement.

🏭 A workers' union in Taiwan authorized a strike over bonuses, potentially impacting manufacturing operations.

πŸ“‰ The stock faces risks from industry cyclicality, rising capacity from competitors, and potential slower AI spending.

Bullish Signals
  • Micron reported record Fiscal Q4 2026 revenue of $54.23 billion, a 31% quarter-over-quarter increase and 379% year-over-year growth.
  • Non-GAAP earnings per share of $33.42 significantly beat analyst estimates of $31.6, demonstrating strong profitability.
  • Gross margins expanded to 87%, reflecting high pricing power and efficient operations in the current AI cycle.
  • The Data Center Business Unit drove $18 billion in revenue, up 56% sequentially, due to surging demand for HBM and storage.
  • Micron forecasts fiscal 2027 revenue of $61.5 billion with non-GAAP EPS expected to reach $38.15, indicating sustained growth.
  • The company has secured over 75% of its fiscal 2027 shipments and signed 26 multiyear strategic agreements extending into 2030–2031.
Risk Factors
  • Technical analysis suggests a potential correction to $400 by early June 2027, implying a 61.1% decline from current levels.
  • The stock faces risks from industry cyclicality and the possibility of rising capacity from competitors eroding market share.
  • Recent operational headwinds include a $600 million patent settlement with Netlist and an authorized strike at a Taiwan facility.
  • Investors must monitor for potential slower AI spending or valuation concerns following the sharp recent rally.
Full Analysis
Micron Technology (MU) faces a potential technical correction scenario where analysts project the stock could decline to $400 by early June 2027. This prediction, based on historical price patterns from the Dot-com bubble era, suggests a 61.1% drop from its recent closing price of $1,029. The analysis indicates that such a pullback might precede another rally extending the AI bull cycle toward 2030, though historical comparisons do not guarantee a repeat of this specific trajectory. Despite the bearish technical outlook, Micron's fundamental performance remains exceptionally strong driven by artificial intelligence demand. Fiscal Q4 2026 revenue reached a record $54.23 billion, representing a 31% quarter-over-quarter increase and a 379% year-over-year surge. Non-GAAP earnings per share of $33.42 significantly beat estimates, while non-GAAP gross margins expanded to 87%. The Data Center Business Unit specifically contributed $18 billion in revenue, up 56% sequentially, fueled by high demand for AI memory solutions like HBM. Looking ahead, Micron forecasts robust growth for fiscal 2027 with expected revenue of $61.5 billion and non-GAAP EPS of $38.15. The company has secured over 75% of its fiscal 2027 shipments and signed 26 multiyear strategic customer agreements extending into 2030–2031, providing significant visibility. However, the stock faces risks including industry cyclicality, rising capacity from competitors, potential slower AI spending, and recent operational headwinds such as a $600 million patent settlement with Netlist and a strike at a Taiwan manufacturing facility.