Micron (MU) Stock Soars 123% in Six Months: Why Wall Street Remains Optimistic

Key Takeaways

• Over the last six months, Micron (MU) stock has skyrocketed by 122.9%, significantly outperforming the tech sector’s modest 3.4% advance.
• Explosive growth in AI infrastructure is driving unprecedented demand for Micron’s DRAM, NAND, and High Bandwidth Memory (HBM) products, with HBM inventory completely allocated through the end of 2026.
• Second-quarter fiscal 2026 results showed revenue climbing 196% year-over-year to $23.86 billion, while non-GAAP earnings per share soared 682% to $12.20.
• Bank of America Securities maintains a positive outlook, highlighting projections that global AI capital spending will approach $1.4 trillion by 2030, nearly tripling current levels.
• Despite its remarkable performance, MU stock trades at a forward price-to-earnings ratio of approximately 5-6, substantially below the sector’s 23.43 average.

Micron Technology (MU) has emerged as a standout performer in the semiconductor industry, posting a remarkable 122.9% advance over the previous six months. This performance dramatically eclipses the broader Zacks Computer and Technology sector’s return of merely 3.4% during the identical timeframe.

Micron Technology, Inc., MU

The catalyst behind this extraordinary rally is clear: rapid acceleration in AI infrastructure investments has placed memory chips at the epicenter of industry growth. As cloud providers and enterprises expand data center capabilities to accommodate increasingly sophisticated AI workloads, Micron’s portfolio of DRAM, NAND flash, and particularly High Bandwidth Memory (HBM) products has experienced explosive demand. The company’s entire production allocation for HBM3E and HBM4 chips has been reserved through calendar year 2026.

NVIDIA announced in 2025 that Micron serves as a strategic HBM provider for its GeForce RTX 50 Blackwell GPU lineup. The forthcoming NVIDIA’s Vera Rubin architecture is generating substantial orders for HBM4 technology.

To address this surging demand, Micron is currently expanding its HBM advanced packaging operations in Singapore. Bank of America Securities analysts highlighted in an April 7 report that worldwide AI capital expenditures are projected to nearly triple, reaching $1.4 trillion by decade’s end, positioning Micron favorably within the memory segment as both hyperscale cloud providers and government entities modernize their computing infrastructure.

Impressive financial performance continues

During the second quarter of fiscal 2026, Micron’s revenue reached $23.86 billion, representing a 196% year-over-year surge. Non-GAAP earnings per share totaled $12.20, marking a 682% jump compared to the prior-year period. Both metrics substantially exceeded analyst expectations — revenue surpassed forecasts by 21.67% while EPS beat estimates by 38.57%.

Non-GAAP gross margin expanded dramatically to 74.9%, nearly doubling from the prior year’s 37.9%. Operating income climbed to $16.46 billion from just $2.01 billion twelve months earlier. Looking at the full fiscal 2026 year, Wall Street consensus anticipates revenue growth of 194% alongside EPS expansion of 604%.

The momentum shows no signs of abating. Analyst projections for fiscal 2027 indicate an additional 58.5% revenue increase coupled with 63.9% earnings growth.

Valuation remains compelling despite rally

Following its substantial price appreciation, Micron continues trading at a forward price-to-earnings multiple of approximately 5 to 6 — dramatically lower than the sector average of 23.43. By comparison, Marvell Technology commands a 26.74x multiple, Texas Instruments trades at 31.23x, and Intel sits at 87.21x.

An often-overlooked long-term growth driver centers on AI inference operations. Unlike model training, which occurs intermittently, inference processes run continuously whenever users interact with deployed AI applications. This dynamic means memory requirements scale proportionally with AI adoption rates rather than simply with model expansion. Micron’s HBM3E and LPDDR5X products are specifically engineered for these persistent workload patterns.

The edge computing opportunity represents another underappreciated growth avenue. Applications including autonomous vehicles, intelligent manufacturing systems, and robotic surgery platforms require localized memory capable of processing compressed AI models on-device. These use cases rely on LPDDR and embedded NAND technologies — creating a secondary demand stream for Micron that operates independently of data center upgrade cycles.

Bank of America observed that while certain analysts have expressed concerns about Micron potentially reaching “peak margin” levels, the stock currently trades near the bottom of its historical P/E valuation range. The company has also announced plans to deploy over $25 billion in capital expenditures during fiscal 2026 to expand production capacity.

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