Lam Research has quietly become one of the biggest winners of the AI buildout, and Wall Street has noticed.
The chip equipment maker reports fiscal fourth-quarter earnings on July 29, 2026, and analysts are already lining up with a hard-to-miss message.
That message comes straight from the people who regularly talk to Lam Research’s customers, competitors, and executives. And it is backed by numbers that are hard to ignore.
Analysts expect Lam Research to blow past estimates again
According to a July 9 research note from Morgan Stanley, analyst Shane Brett expects Lam Research to post revenue of $7.4 billion in fiscal Q4, above consensus estimates of $7 billion.
Lam Research has topped Wall Street estimates by an average of 9% over the last five quarters, Morgan Stanley noted.
The firm also expects Lam Research to raise its full-year outlook for the wafer fab equipment (WFE) market, from $140 billion to $145 billion, an increase of 32% year over year.
Morgan Stanley rates the stock “overweight”, with a price target of $404, well above the $350 close on July 10.
The bull case for LRCX stock
Lam Research makes the machines that etch and deposit the microscopic layers that turn a blank silicon wafer into a working chip.
For years, that business grew slowly and steadily, until the AI megatrend accelerated top-line growth.
Analysts tracking Lam Research stock forecast revenue to increase from $23.3 billion in fiscal 2026 to $44.37 billion in fiscal 2030. In this period, adjusted earnings per share are projected to expand from $5.68 to $12.63.
Lam Research chief financial officer Doug Bettinger explained the shift at Bank of America’s Global Technology Conference on June 2.
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He said a shortage of cleanroom space now constrains the industry, as do the specialized manufacturing floors that chipmakers need to build new capacity. Every customer wants more equipment than the industry can currently supply.
“It’s AI,” Bettinger said when asked what is driving the boom, pointing to the surge in demand for the accelerator chips that power AI data centers, along with the high bandwidth memory and storage that support them.
Lam Research chief executive Tim Archer struck a similar tone days earlier at the Bernstein Strategic Decisions Conference on May 27.
He said the company is seeing demand across every stage of the AI rollout, from training large models to running them for everyday users (a phase known as inference) to agentic AI systems that can take actions on their own.
The NAND and DRAM story investors should watch
Much of Lam Research’s business ties to two types of memory chips: DRAM, which handles short-term data processing, and NAND, which stores data long-term.
- DRAM has led the recent boom because it is closely tied to high-bandwidth memory used in AI processors. NAND has lagged, but that appears to be changing.
- Morgan Stanley expects NAND spending to jump 65% for the quarter that just ended in June, then rise another 30% in the current quarter, though both gains come from a low starting point.
- The firm also believes NAND equipment spending will outgrow DRAM equipment spending in 2027.
Archer told the Bernstein audience that Lam Research’s exposure has shifted dramatically over time.
Five years ago, memory chips made up about 60% of the business. Last year, foundry and logic chips made up 60% instead, he said, a deliberate strategy shift the company made years in advance.
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What next for LRCX stock
Morgan Stanley’s bear case sees the stock falling to $289 if memory pricing weakens and Lam Research loses ground to competitors in etching technology.
The firm’s bull case scenario, on the other hand, expects the tech stock to rise to $519 if memory pricing and factory utilization continue to improve.
Of the 25 analysts covering LRCX stock, 23 recommend “Buy,” and 2 recommend “Hold.” The average Lam Research stock price target is $381, above the current price of $350.
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Bettinger was careful during his June appearance not to promise specific growth numbers for next year.
But he described the tone of conversations with customers as the strongest he has seen in his career at the company.
Bettinger said, referring to the demand signals coming from Lam Research’s customers:
“I’m talking as optimistically as you’ve ever heard me.”
Investors will find out on July 29 whether management confidence translates into another beat-and-raise, or whether the clean room shortage that has defined this AI cycle finally starts to ease.
Related: Morgan Stanley makes bold Lam Research stock call
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