Micron Technology (NASDAQ: MU) closed at $958.73 on August 31, sitting 21% below its June all-time high despite still holding a staggering one-year gain of 680%.
The company has established itself as a leading supplier of high-bandwidth memory for AI data centers, a position that has fueled extraordinary financial performance in recent quarters.
Micron generated a record $41.4 billion in total revenue during its fiscal 2026 third quarter ended May 28, representing a 346% increase from the same period a year earlier.
All four segments of the business posted triple-digit percentage growth, driven by AI-related memory demand spanning data centers, computers, smartphones, and the automotive sector.
Earnings for the quarter surged 1,368% to $24.67 per share, with the current supply-demand imbalance in the memory market giving Micron unusual pricing power that is boosting profit margins significantly.
Management has guided toward another blockbuster quarter, with the company expected to report roughly $50 billion in sales and earnings of $30.73 per share for the fourth quarter that ended August 31.
Based on trailing 12-month earnings of $44.23 per share, MU stock trades at a price-to-earnings ratio of just 21, cheaper than both the S&P 500 and Nasdaq-100 at P/E ratios of 24.5 and 34.3, respectively.
Wall Street analysts, according to Yahoo Finance, expect Micron’s earnings to reach $155.03 per share in fiscal 2027, implying a forward P/E ratio of just 6 at current prices.
Despite those figures, demand-side pressures are beginning to mount across the broader AI ecosystem, creating clouds on the horizon for chip suppliers like Micron.
A recent UBS Group survey found that about 60% of businesses are now routing tasks to cheaper, more efficient AI models to reduce costs, which could weigh on semiconductor demand over time.
Nvidia has reportedly informed customers of a 15% price increase partly because of rising HBM prices, a move that is pushing end users to reconsider their infrastructure spending plans.
Companies including Microsoft and Anthropic have already implemented passive price increases for AI model access, while Uber Technologies, Walmart (NYSE: WMT), AT&T (NYSE: T), and Amazon (NASDAQ: AMZN) have imposed AI usage caps on employees.
According to Nvidia (NASDAQ: NVDA), the five largest hyperscale companies will spend nearly $800 billion combined on AI data center infrastructure during 2026, with that figure potentially topping $1.3 trillion in 2027.
Lawmakers in more than a dozen U.S. states have introduced legislation to temporarily ban new data center construction while they assess the social, economic, and environmental impacts of the buildout.
The core concern for investors is that the current supply-demand imbalance in the memory market will eventually resolve as manufacturers race to add new production capacity over the next few years.
When that supply catches up to demand, Micron’s ability to dictate prices will erode, likely dragging earnings well below their current extraordinary levels and making the stock look expensive in hindsight.
