Key Takeaways
- Micron (MU) shares have climbed 122.9% in the last six months, vastly outperforming the tech sector’s modest 3.4% increase.
- Explosive growth in AI infrastructure has created overwhelming demand for Micron’s DRAM, NAND, and High Bandwidth Memory (HBM) products, with HBM inventory completely reserved through 2026.
- Second-quarter fiscal 2026 revenues skyrocketed 196% year-over-year to $23.86 billion, while adjusted earnings per share soared 682% to $12.20.
- BofA Securities maintains its positive outlook, highlighting projections that global AI capital expenditure will reach $1.4 trillion by 2030, nearly tripling current levels.
- MU stock still carries an attractive valuation with a forward P/E ratio of approximately 5-6, significantly below the semiconductor sector’s 23.43 average.
Micron Technology (MU) has delivered exceptional returns of 122.9% over the past half-year, establishing itself as a standout performer among semiconductor equities. This performance dramatically eclipses the Zacks Computer and Technology sector’s 3.4% return during the identical timeframe.
The catalyst driving this remarkable rally is unmistakable: artificial intelligence infrastructure investment is gaining momentum rapidly, with memory semiconductors positioned at its core. As cloud computing facilities expand capacity to accommodate growing AI processing requirements, Micron’s DRAM, NAND flash, and particularly its High Bandwidth Memory (HBM) products have experienced unprecedented demand. The company’s entire supply allocation for HBM3E and HBM4 chips has been reserved through the complete 2026 calendar year.
NVIDIA announced in 2025 that Micron serves as a primary HBM supplier for its GeForce RTX 50 Blackwell GPU lineup. Demand for HBM4 is being significantly propelled by NVIDIA’s forthcoming Vera Rubin architecture platform.
Micron is simultaneously expanding its HBM advanced packaging operations in Singapore to address this extraordinary demand. BofA Securities analysts observed on April 7 that worldwide AI capital expenditure is projected to nearly triple, reaching $1.4 trillion by 2030, positioning Micron strategically within the memory chip segment as cloud hyperscalers and government entities modernize their information technology infrastructure.
Impressive financial performance commands attention
During the second quarter of fiscal 2026, Micron’s revenue reached $23.86 billion, representing a 196% year-over-year surge. Adjusted earnings per share totaled $12.20, marking a staggering 682% jump compared to the prior-year period. Both metrics substantially exceeded Wall Street projections — revenue surpassed expectations by 21.67% while EPS beat forecasts by 38.57%.
Adjusted gross margin expanded dramatically to 74.9%, compared with 37.9% in the comparable quarter one year earlier. Operating income climbed to $16.46 billion from $2.01 billion. For the complete fiscal 2026 year, market analysts anticipate revenue expansion of 194% alongside EPS growth of 604%.
The expansion trajectory extends further. Fiscal 2027 consensus projections indicate an additional 58.5% revenue increase accompanied by 63.9% EPS growth.
Valuation metrics remain compelling
Despite its substantial price appreciation, Micron currently trades at a forward price-to-earnings ratio ranging from 5 to 6 — substantially below the semiconductor sector’s 23.43 average. By comparison, Marvell Technology commands a 26.74x multiple, Texas Instruments trades at 31.23x, and Intel carries an 87.21x valuation.
One extended-horizon investment thesis centers on AI inference workloads. Unlike model training, which occurs periodically, inference operations run continuously each time users engage with deployed artificial intelligence systems. This dynamic means memory requirements scale proportionally with AI adoption, not merely with the development of larger models. Micron’s HBM3E and LPDDR5X products are engineered specifically for this operational environment.
There’s also the edge computing AI opportunity that receives less market attention. Self-driving vehicles, intelligent manufacturing facilities, and robotic surgical systems all require on-device memory capable of processing optimized AI models locally. These applications utilize LPDDR and embedded NAND — representing a distinct demand stream for Micron that operates independently from data center investment cycles.
BofA emphasized that while certain analysts have expressed concerns about Micron potentially reaching “peak margin” levels, the stock currently trades near the lower boundary of its historical P/E valuation range. Micron has also pledged to allocate more than $25 billion in capital investments during fiscal 2026 as it expands production capacity.
