Despite a remarkable 321% total return over the past three years, Lam Research's stock has recently experienced a decline of about 10%. This downturn follows Google's introduction of its new TurboQuant compression algorithm, which raises concerns regarding memory chip demand as it potentially reduces the memory footprint for large language models.
Other companies in the sector, such as ACM Research and ASML, reported returns of 269% and 105%, respectively. While investors scrutinize advancements in AI semiconductor equipment, Lam Research is solidifying its market position through its essential etch and deposition tools, vital for producing high-bandwidth memory and advanced AI logic chips.
The ongoing demand for innovative packaging techniques has contributed significantly to Lam's revenue growth, with management anticipating continued expansion through 2026. Lam's resilient business model is underscored by a strong installed base that supports recurring high-margin revenue from services, upgrades, and spare parts, providing a buffer against fluctuations in the semiconductor market.