Memory chip giant SK hynix could help end ‘RAMmageddon’ with blockbuster US IPO
But the real question isn’t just how much it can raise: it’s whether a U. listing could increase its trading value as one of the most critical players in the AI chip supply chain. Despite its critical role in high-bandwidth memory (HBM), a key component powering AI systems from companies like Nvidia, the stock has historically traded at a discount to global peers, according to a Seoul-based semiconductor analyst.
It’s got a market cap of around $440 billion, but its valuation multiples remain below those of U.
-listed semiconductor firms, raising questions about whether geography, rather than fundamentals, is partly driving the gap. The move is widely seen as an effort to increase its valuation to match global peers like Micron.
listing could help close a long-standing valuation gap with global peers.
Despite having comparable – or in some areas stronger – production capacity than U. -based chipmakers, the Korean company has historically traded at a discount, partly due to its primary listing in Korea,” the analyst told TechCrunch. The analyst also mentioned structural factors shaping the deal.
“SK Square, SK hynix’s largest shareholder, which held 20.
07% as of December 2025, is required to maintain a stake of at least 20% under Korea’s holding company rules. ” Based on current share prices, issuing roughly 2% in new shares could raise $10 billion to $14 billion while allowing SK Square to maintain its ownership threshold, the analyst said.
Taiwan Semiconductor Manufacturing Company (TSMC), for example, has seen its U. -listed shares trade at a premium to its domestic shares at times, particularly during periods of strong AI-driven demand, suggesting that cross-listing can influence how investors price the same underlying business.
The move is already rippling across the broader Korean chip sector.
Soaring cost for memory, and limited supply, has been one of the bottlenecks slowing AI builds, but also impacting other industries, like consumer gamers.
Time will tell if that doomsday prediction holds up.
The tech giants are working on solving RAMmageddon in other ways beyond increased manufacturing.
For instance, Google this week introduced a tech called TurboQuant, an ultra-efficient AI memory compression algorithm. It allows AI to become vastly more efficient in using memory.
Nevertheless, the signals indicate that more memory production will be necessary as well.
SK hynix is gearing up for a wave of capital-intensive projects.
3 billion, respectively, underscoring the scale of capital required.
9 billion, aimed at boosting high-bandwidth memory (HBM) production for AI. All of this would be supported by a blockbuster U. And that could lead other Korean chip makers to follow
Logic Quality Breakdown:
- Updated_At:
- Truth_Blocks:
- Analysis_Method: