NEW YORK — Micron Technology closed above a $1 trillion market capitalization for the first time in its history on Tuesday, May 26, capping a single-session surge of nearly 20 percent that made the Idaho-based memory chip maker one of the ten most valuable companies in the United States and reshuffled what Wall Street is willing to pay for a business that was long dismissed as a commodity play.
The move was set off before the opening bell when UBS analyst Timothy Arcuri raised his price target on Micron (NASDAQ: MU) from $535 to $1,625 a share, the highest target among the 46 brokerages that cover the company, according to reports. The new figure implies a potential valuation approaching $1.8 trillion, which would place Micron ahead of Meta Platforms, Tesla, and Berkshire Hathaway on the list of the country’s largest companies by market value. Arcuri maintained his Buy rating on the stock and said the market would begin assigning a more standard multiple to Micron as the structural transformation in how memory chips are sold and priced became clearer to investors.
Micron shares closed at $895.88, up 19.29 percent for the session. The stock has more than tripled year to date and has climbed more than eightfold over the past twelve months, a run that accelerated in the first quarter of 2026 as artificial intelligence spending by hyperscalers translated directly into orders for the kind of high-bandwidth memory only Micron, Samsung, and SK Hynix can manufacture at scale.
The company said earlier this year that its entire high-bandwidth memory production capacity for 2026 is already sold out. Quarterly HBM revenues have reached approximately $2 billion, a figure that would have seemed improbable for a single memory product line just three years ago. Micron’s fiscal second-quarter revenue came in at $23.9 billion, up 196 percent year over year, its fourth consecutive quarterly revenue record.
The argument Arcuri made Tuesday was not simply that Micron’s earnings had grown. It was that the memory business itself had changed in ways the market had not yet priced in. Historically, memory chip companies traded at discounted valuations because their earnings were violently cyclical, tied to swings in smartphone and personal computer demand that could halve revenues in a downturn. That cyclicality justified a discount. Arcuri’s note argued that artificial intelligence has broken the cycle, or at least extended the current upcycle far enough that a fundamentally different valuation framework applies.
The specific mechanism is the emergence of long-term supply agreements across the memory industry. Hyperscalers, including Amazon, Microsoft, Google, and Meta, have been signing multi-year contracts that lock in volumes of DRAM and NAND at partially fixed prices. They are trading pricing flexibility for supply assurance. That shift transforms memory from a spot commodity into something closer to contracted infrastructure, smoothing the earnings profile that once made investors wary of assigning premium multiples to chipmakers like Micron.
UBS wrote that there was no reason Micron should trade at a meaningfully different multiple from Nvidia on a price-to-earnings basis, as long-term agreements and AI-driven demand continued to reshape the company’s earnings visibility. That comparison is striking: Nvidia, which makes the graphics processors at the center of every major AI data center, has long commanded a premium valuation because investors view it as irreplaceable infrastructure. Arcuri was arguing, in effect, that memory has become just as irreplaceable.
High-bandwidth memory is the component that determines how fast a GPU cluster can process data. Every Nvidia H100 and B200 chip ships with a stack of HBM attached. As AI models grow more sophisticated and agentic workloads demand faster inference at lower latency, the bottleneck in AI infrastructure has quietly shifted from processing power to memory bandwidth. Only three companies on earth can manufacture HBM at scale, and Micron is the only American one.
About 2,440 institutions disclosed new positions in Micron in the first quarter, as reported, including Rockefeller Capital Management and Schroders. The stock’s forward price-to-earnings ratio stood at roughly 8.4 times at Tuesday’s close, compared with 22 times for the S&P 500 and 26 times for the Nasdaq 100. That discount has become one of the core bullish arguments among institutional investors: Micron looks cheap on conventional metrics even after a year of extraordinary gains, because analysts expect earnings to keep growing faster than the stock price.
The broader semiconductor sector moved with Micron on Tuesday. Marvell Technology, AMD, Intel, Lam Research, and Qualcomm all gained ground, reflecting the degree to which Micron’s story has become a proxy for the entire AI memory trade. The Philadelphia Semiconductor Index has risen in seven of the past eight weeks. Micron’s rally also had a read-through for South Korean rival SK Hynix, which crossed the $1 trillion valuation threshold the following day as its own shares jumped on the back of Micron’s momentum and a separate surge in AI-related orders.
Not all observers were uncritical of the move. Some analysts noted that Micron’s trailing price-to-earnings ratio of 42.3 times was more than double the stock’s five-year median, and that the UBS target of $1,625 implied a valuation of roughly 15 times projected forward earnings, a premium that rests on the assumption that the current AI investment cycle will not slow. Memory markets have historically punished investors who assumed this time was different. The company’s next-generation HBM4 products are in production, but a supply response from Samsung and SK Hynix could eventually erode the pricing power that has underpinned Micron’s recent earnings.
For now, however, the market’s verdict was unambiguous. Micron’s ascent to the trillion-dollar club, a threshold that Samsung had already crossed and that SK Hynix was closing in on, signals that investors have decided the AI memory shortage is not a short-term blip but a multi-year structural condition. For a company that was worth roughly $108 billion a year ago, the journey to $1 trillion in twelve months stands as one of the fastest wealth-creation episodes in the history of the American stock market, and a measure of how completely artificial intelligence has reordered the calculus of the semiconductor industry.
Wall Street’s broader response to the milestone was tempered by the day’s other crosscurrents. The S&P 500 gained 0.61 percent to close at a record 7,519, and the Nasdaq added 1.19 percent to 26,656. The Dow Jones Industrial Average fell 118 points, dragged lower by banks and old-economy names as oil prices rose on continued uncertainty over a potential U.S.-Iran ceasefire. The tech-heavy indexes were carried almost entirely by chip stocks, with Micron responsible for a disproportionate share of the Nasdaq’s gains. Eastern Herald has covered the broader AI chip boom, including Nvidia’s record $81.6 billion quarterly revenue, and the labor tensions at Samsung that have complicated supply-chain planning for rivals. The stage Micron now occupies was built, in large part, by the infrastructure spending of the same hyperscalers that are now locking in its memory supply for years to come.
