CEO of Global Semiconductor Equipment Company Automatically Disposes of Hundreds of Thousands of Shares for Tax Payments... Equity Compensation Expands

On February 27, Lam Research Corp. (LRCX) disclosed that CEO Timothy Archer received a substantial equity award, triggering the automatic sale of more than 170,000 shares of company stock to cover taxes on vested restricted stock units (RSUs). Even after this transaction, Archer still directly holds over 1.07 million shares, valued at approximately $250 million (around KRW 300 billion) based on a share price of $233.89.

On the same day, senior vice presidents and other executives were granted additional time- and performance-based RSUs. At the same time, some of their directly held shares were returned to the company to satisfy tax withholding requirements on vested RSUs, resulting in an adjustment to their recorded shareholdings.

Earlier, on February 6, company director Eric Brandt sold 35,000 shares of common stock in the open market, generating about $8 million (around KRW 10 billion) in cash. He still retains a stake exceeding 250,000 shares.

Buoyed by optimism around AI and high-bandwidth memory demand, Lam Research’s stock climbed into the mid-$250s on February 25 to reach a new 52-week high. More recently, however, it has pulled back roughly 10% from that peak over three consecutive trading sessions.

Recently, Lam Research opened a new office in Boise, Idaho, to deepen its next-generation memory collaboration with Micron. At the same time, global brokerage firms have raised their price targets on expectations of increased DRAM capacity investments, drawing attention to both the company’s operations and its share price.

Headquartered in Fremont, California, Lam Research supplies semiconductor wafer-processing equipment, focusing on etch, deposition, and clean systems for wafer fabrication and packaging processes worldwide.

Founded in 1980 and listed on Nasdaq, the company counts major global clients such as TSMC, Samsung Electronics, and Micron. It is widely regarded as highly exposed to growing investments in memory and advanced logic processes and to the surge in AI infrastructure demand driving increased wafer-processing equipment spending.