South Korean chipmaker SK Hynix is launching a significant US stock market listing, aiming to raise approximately $29 billion to $36 billion. This listing is anticipated to be one of the largest first-time share sales by a foreign company, with some reports suggesting it could be the second-biggest share sale ever, potentially surpassing Saudi Aramco's 2019 IPO.
The company, a leading supplier of high-bandwidth memory (HBM) chips critical for AI systems used by companies like Nvidia and Google, seeks to tap into the deep US equity market and strong investor enthusiasm for AI-related stocks. Analysts expect the Nasdaq listing, set to price on July 9 and begin trading on July 10, will help close the valuation gap with its US rival Micron Technology and increase its accessibility to global investors.
SK Hynix's shares have already seen a significant increase, up about 273% in 2026, driven by the AI boom. The US listing involves selling 17.79 million new shares through depository receipts, with ten ADRs representing one common share. This move is part of a broader strategy, including a $576 billion South Korean government investment program in semiconductors and AI, and SK Hynix's own commitment to invest 100 trillion won ($84.4 billion) in new chip plants.
Historically, US investors found it challenging to invest in SK Hynix, often resorting to unsponsored ADRs with limited liquidity. The Nasdaq listing is expected to dramatically improve liquidity and enable American investors to participate more easily in the company's growth, benefiting from the soaring demand for AI memory chips that has driven the performance of companies like Micron, which saw a 242% gain this year.
The listing is not only about raising capital but also strategically positioning SK Hynix in the competitive global market for AI computing memory chips, leveraging the current "extreme enthusiasm about chip stocks." The company is riding a wave of success, outperforming competitors Samsung and Micron, as it delivers key components to fuel the global data center build-out for AI.
