Money Wealth Matters (.net)

The Toolmaker Behind AI Chips Reports Tonight.

Research Desk · October 21, 2026

Lam Research logo

Lam Research corporate logo. Image via Wikimedia Commons, used for editorial identification.

Key Points
  • Lam Research (NASDAQ: LRCX) builds the machines that carve and layer the circuitry inside nearly every advanced chip, and its shares just fell ten sessions in a row, the longest losing streak in its 42 years as a public company.
  • The slide erased roughly 24% and about $100 billion of market value, yet management guided to a record quarter: about $8.1 billion in revenue, up more than 50% from a year ago, with gross margins near 20-year highs.
  • Results land after the close tonight. The stock now trades about 39% below its June peak, while 21 of 22 analysts tracked by Benzinga still rate it a Buy and the average price target sits near $376.
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Last week, every single stock in the Philadelphia Semiconductor Index closed lower on Friday. It was the index's eighth straight decline, its longest losing run since 2008.

No company felt it more than Lam Research. The stock has closed lower every session since October 5, finishing Friday at $263.94.

That is a remarkable fall for a company that has beaten Wall Street's earnings estimates five quarters running. And tonight, after the closing bell, Lam gets its first chance to answer back.

For investors who have watched the AI trade from the sidelines, waiting for a better price on a quality name, this may be the week that price arrived.

What Lam Actually Does, in Plain English

Most people have never heard of the machines inside a chip factory. But every chip Nvidia designs and TSMC manufactures has to be physically built, layer by layer, on a wafer of silicon.

Lam specializes in two of the most important steps. "Deposition" lays down impossibly thin films of material. "Etch" carves away what is not needed, leaving behind the circuit.

Think of a sculptor and a plasterer working together, but at the scale of atoms. One adds a layer, the other cuts the pattern, and they repeat the cycle hundreds of times on every wafer.

Here is why that matters right now. Modern chips are no longer built like ranch houses, spread out flat. They are built like skyscrapers, stacked upward in three dimensions.

Every extra floor means more layers to deposit and more channels to etch. A taller building simply needs more of Lam's work, which is why its business has grown faster than the chip market itself.

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The Numbers the Selloff Ignored

Lam's fiscal year that ended in June brought in $23.2 billion in revenue, up 26%. The June quarter alone hit a record $6.72 billion, up 30% from a year earlier.

Management then told investors to expect even more. Its guidance for the September quarter, the one reported tonight, calls for about $8.1 billion in revenue, give or take $400 million.

A year ago, that same quarter brought in about $5.3 billion. So the company is guiding to growth of more than 50%, with gross margins around 52%, the highest the business has seen in two decades.

The company also expects its advanced packaging business, the technology that stacks AI chips together, to grow more than 70% this year. Its finance chief has said the industry's current shortage of capacity should carry into next year.

For income-minded readers, there is one more detail worth noting. Lam just raised its quarterly dividend from $0.26 to $0.33 a share, an increase of roughly 27%, while paying out less than a quarter of its earnings.

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So Why Did the Stock Fall?

Nothing went wrong inside the company. The selloff hit the whole chip equipment group, including Applied Materials and KLA, after a huge run earlier this year.

Two worries did most of the damage. First, TSMC, the world's largest contract chipmaker, kept its spending plans unchanged rather than raising them, and traders had been hoping for more.

Second, investors have grown uneasy about how long the AI buildout can last, especially as more of it is being paid for with borrowed money. When the buyers of equipment sound cautious, the sellers of equipment get punished first.

It is a bit like a homebuilder's stock dropping because one large developer said it would keep building at the same record pace next year. The order book is still full. The market simply wanted it fuller.

The Blemish Worth Naming

Honesty requires pointing out Lam's real soft spot: China. Roughly a third of its sales go to Chinese chipmakers, which leaves the company exposed to any tightening of U.S. export rules.

Chinese state-backed equipment makers are also improving their own tools, which over time could chip away at that business. Recent insider selling has not helped sentiment either.

None of these are new risks. But they are the reasons a strong quarter alone may not be enough tonight. Investors will want to hear how management sees 2027.

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What the Price Tag Looks Like Now

Lam is not a bargain-bin stock. At about $264, it trades near 45 times trailing earnings, above the median for large technology companies.

Look forward, though, and the picture changes. Analysts expect about $9.34 a share this fiscal year and $11.43 next year, which puts the stock near 28 times this year's estimate and roughly 23 times next year's.

The average analyst price target of about $376 implies more than 40% upside from Friday's close. One firm has gone as high as $500.

The bear case has a number too. One technical analysis published this week argued the stock could slide toward $200, about 24% lower, if tonight's report fails to reassure. That is the downside a buyer has to be prepared to sit through.

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The Bottom Line

Lam Research is one of the few companies that gets paid no matter which chip designer wins the AI race. If a chip gets built at the leading edge, Lam's machines almost certainly touched it.

The stock just suffered the worst losing streak in its history, not because the business broke, but because the whole group got crowded and then got sold.

Tonight's report will show whether that selloff was a warning or an overreaction. For patient investors who have wanted a better entry into a high-quality AI name, the price has already come down to meet them.

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This is a research publication, not a financial advisor, and this is not investment advice. Prices and multiples are point-in-time snapshots and move daily. Do your own research and consider your own situation before making any investment decision.

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