LRCX

Lam Research Corp Price

LRCX
$296.40
+$1.70(+0.57%)

*Data last updated: 2026-05-11 18:17 (UTC+8)

As of 2026-05-11 18:17, Lam Research Corp (LRCX) is priced at $296.40, with a total market cap of $367.73B, a P/E ratio of 23.36, and a dividend yield of 0.34%. Today, the stock price fluctuated between $288.46 and $300.00. The current price is 2.75% above the day's low and 1.20% below the day's high, with a trading volume of 8.99M. Over the past 52 weeks, LRCX has traded between $208.22 to $300.00, and the current price is -1.20% away from the 52-week high.

LRCX Key Stats

Yesterday's Close$286.52
Market Cap$367.73B
Volume8.99M
P/E Ratio23.36
Dividend Yield (TTM)0.34%
Dividend Amount$0.26
Diluted EPS (TTM)5.36
Net Income (FY)$5.35B
Revenue (FY)$18.43B
Earnings Date2026-07-29
EPS Estimate1.65
Revenue Estimate$6.61B
Shares Outstanding1.28B
Beta (1Y)1.819
Ex-Dividend Date2026-03-04
Dividend Payment Date2026-04-08

About LRCX

Lam Research Corporation designs, manufactures, markets, refurbishes, and services semiconductor processing equipment used in the fabrication of integrated circuits. The company offers ALTUS systems to deposit conformal films for tungsten metallization applications; SABRE electrochemical deposition products for copper interconnect transition that offers copper damascene manufacturing; SOLA ultraviolet thermal processing products for film treatments; and VECTOR plasma-enhanced CVD ALD products. It also provides SPEED gapfill high-density plasma chemical vapor deposition products; and Striker single-wafer atomic layer deposition products for dielectric film solutions. In addition, the company offers Flex for dielectric etch applications; Kiyo for conductor etch applications; Syndion for through-silicon via etch applications; and Versys metal products for metal etch processes. Further, it provides Coronus bevel clean products to enhance die yield; Da Vinci, DV-Prime, EOS, and SP series products to address various wafer cleaning applications; and Metryx mass metrology systems for high precision in-line mass measurement in semiconductor wafer manufacturing. The company sells its products and services to semiconductors industry in the United States, China, Europe, Japan, Korea, Southeast Asia, Taiwan, and internationally. Lam Research Corporation was incorporated in 1980 and is headquartered in Fremont, California.
SectorTechnology
IndustrySemiconductors
CEOTimothy Archer
HeadquartersFremont,CA,US
Employees (FY)19.00K
Average Revenue (1Y)$970.29K
Net Income per Employee$282.01K

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Lam Research Corp (LRCX) is currently trading at $296.40, with a 24h change of +0.57%. The 52-week trading range is $208.22–$300.00.

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Hot Posts About Lam Research Corp (LRCX)

ICan_tUnderstandSOL

ICan_tUnderstandSOL

15 hours ago
After scanning semiconductor stocks with PEG, Micron surprisingly is the cheapest. PEG less than 1 usually indicates that growth is mispriced. PEG greater than 2 begins to enter the danger zone. Here are the PEG ratios of various companies: • $INTC approximately 2.8 times • $LRCX approximately 2.0 times • $KLAC approximately 2.0 times • $AMAT approximately 2.0 times • $ASML stock price about 1.7 times • $ALAB approximately 1.6 times • $ARM about 1.5 times • $ANET approximately 1.5 times • $LITE approximately 1.3 times • $TSM approximately 1.1 times • $CRDO approximately 1.0 times • $NVDA ~1.0x • $COHR approximately 0.9 times • Avago Technologies (AVGO) about 0.9 times • $AMD approximately 0.7 times • $SNDK approximately 0.7 times • $MRVL approximately 0.7 times • $AAOI approximately 0.6 times • $ON approximately 0.5 times • $MU approximately 0.4 times You read that right, Nvidia only has a 1x PEG, while Micron is at 0.4x. The lowest in the entire market. --- Speaking of this, I have to mention MU. Micron Technology, which makes memory. In many people's impression, memory is a cyclical, low-margin, tough business. But this time, the situation is a bit different. In just over two years, Micron's quarterly profit is expected to grow from about $2 billion to nearly $36 billion. An 18-fold increase. This is not a cyclical recovery; it’s a structural demand explosion. --- So the question is, why is Micron so impressive? Three words. AI, HBM, bottleneck. This happens when artificial intelligence turns memory into high-bandwidth memory (HBM), dynamic random-access memory (DRAM), and storage devices bottlenecks. GPT-5.5, Claude Opus 4.7, and Gemini 3 Pro are all working toward larger contexts, longer reasoning, and persistent proxy memory. In plain language, it means AI models are getting bigger and need more memory. And not just ordinary memory, but high-end HBM. HBM capacity is limited, and only a few manufacturers can produce HBM. No need to say more about Micron. What does this mean? It means memory has shifted from being a "commodity" in the past to a "strategic resource" now. Pricing power has moved from buyers to sellers. This is somewhat similar to the chip shortage in 2021, but the underlying logic is completely different. That was due to supply chain disruptions; this is a demand structural explosion. The market still seems to view Micron with old eyes. Thinking it’s a cyclical stock, expecting it to repeat the past, believing its high growth is unsustainable. But what if AI-driven memory demand is structural? What if HBM capacity bottlenecks can’t be solved in a year or two? What if Micron’s profit center has permanently moved to a higher level? Then a PEG of 0.4x isn’t cheap; it’s outrageous. --- Brothers, look at that PEG list, and there’s an interesting phenomenon. Traditional equipment giants LRCX, KLAC, AMAT are around 2.0x, while AI chip design companies NVDA, AMD are below 1.0x. What does this indicate? It shows that the market’s pricing logic has shifted from "who sells shovels" to "who struck gold." Equipment companies are shovels sellers—stable but with limited growth. Chip designers are miners of gold—risky but with high returns. And Micron, it’s both a shovel seller (DRAM, NAND) and a gold miner (HBM). Yet its valuation still stays in the shovel-selling range. This isn’t a pricing error; what is it? --- Not trying to recommend Micron, I just think, in an era where AI is changing everything, many traditional valuation frameworks are failing. The PEG indicator itself has limitations; it assumes growth is linear and sustainable, but the demand explosion driven by AI might be non-linear and phased. So when looking at PEG, you can’t just focus on the number. You need to understand the source of that growth, whether it’s cyclical or structural, and whether the market is still pricing new companies with old stories. Thanks to EFyurmIEQUITIES for the chart creation.
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