Key Highlights
- Micron (MU) shares climbed 122.9% during the past six months, outperforming the broader technology sector’s 3.4% return by a significant margin.
- Growing AI infrastructure needs have driven demand for DRAM, NAND, and High Bandwidth Memory (HBM) chips, with Micron’s HBM production capacity fully committed through the end of 2026.
- Second quarter fiscal 2026 revenue reached $23.86 billion, representing a 196% year-over-year increase, while non-GAAP earnings per share soared 682% to $12.20.
- BofA Securities highlighted that worldwide AI capital expenditure is projected to approach $1.4 trillion by 2030, positioning Micron favorably within the memory segment.
- Following the rally, MU shares trade at a forward price-to-earnings ratio between 5 and 6, substantially lower than the sector median of 23.43.
Micron Technology (MU) has delivered a 122.9% return during the preceding six months, establishing itself among the strongest performers in the semiconductor industry during this period. This performance significantly exceeds the Zacks Computer and Technology sector benchmark, which advanced only 3.4% across the identical timeframe.
The driving force behind this appreciation centers on rapidly expanding AI infrastructure investments, with memory semiconductors playing a critical role. Data centers continue scaling operations to accommodate increasing AI computational requirements, creating substantial demand for Micron’s DRAM, NAND, and particularly High Bandwidth Memory (HBM) products. The company has already committed its entire HBM3E and HBM4 production capacity through the complete 2026 calendar year.
NVIDIA announced in 2025 that Micron serves as a primary HBM provider for its GeForce RTX 50 Blackwell GPU lineup. Strong HBM4 demand correlates directly with NVIDIA’s forthcoming Vera Rubin platform architecture.
Micron continues expanding its HBM advanced packaging operations in Singapore to address this demand. BofA Securities analysts reported on April 7 that worldwide AI capital spending is anticipated to reach approximately $1.4 trillion by 2030, positioning Micron advantageously within the memory sector as cloud providers and government entities modernize their computing infrastructure.
Exceptional quarterly performance metrics
During the second quarter of fiscal 2026, Micron’s revenue totaled $23.86 billion, marking a 196% year-over-year expansion. Non-GAAP earnings per share reached $12.20, representing a 682% improvement compared to the corresponding period twelve months earlier. Both metrics surpassed analyst projections considerably — revenue exceeded estimates by 21.67% while EPS topped forecasts by 38.57%.
Non-GAAP gross margin widened to 74.9%, compared with 37.9% during the year-ago quarter. Operating income advanced to $16.46 billion from $2.01 billion. Looking at the complete fiscal 2026 year, Wall Street analysts project revenue expansion of 194% alongside EPS growth of 604%.
The growth trajectory extends beyond the current fiscal year. Consensus estimates for fiscal 2027 anticipate an additional 58.5% revenue increase paired with 63.9% earnings per share growth.
Valuation remains compelling relative to peers
Following the substantial share price appreciation, Micron currently trades at a forward price-to-earnings multiple ranging from 5 to 6 — markedly below the semiconductor sector average of 23.43. By comparison, Marvell Technology commands a 26.74x multiple, Texas Instruments trades at 31.23x, and Intel carries an 87.21x forward P/E.
A compelling long-term investment thesis centers on AI inference workloads. Whereas model training occurs periodically, inference operations run continuously each time users engage with deployed AI applications. This dynamic means memory requirements scale proportionally with AI adoption rates rather than merely model development cycles. Micron’s HBM3E and LPDDR5X products target precisely this operational environment.
Edge AI applications represent another growth opportunity receiving limited attention. Autonomous transportation systems, intelligent manufacturing facilities, and robotic surgical platforms all require on-device memory capable of processing compressed AI models locally. These applications utilize LPDDR and embedded NAND — creating a distinct demand channel for Micron independent of data center expansion cycles.
BofA Securities observed that although some market participants have expressed concerns regarding Micron approaching maximum margin levels, the stock currently trades near the lower boundary of its historical valuation range. Micron has announced plans to deploy over $25 billion in capital investments during fiscal 2026 to expand manufacturing capacity.
