SK Hynix shares fell 3.92% on August 6, 2026, closing at roughly $137.91, extending a slide of about 21% from the company’s 52-week high of $194.80, according to a report from The Motley Fool. The drop came just weeks after SK Hynix reported an operating margin of 76% and a market share of 58% in high-bandwidth memory (HBM), the specialized chip that feeds data-hungry AI accelerators from Nvidia, AMD and others. The disconnect between operational dominance and stock performance has become one of the more puzzling storylines in the memory chip sector this month.
A supplier that effectively controls the AI memory market
SK Hynix’s HBM business has become the backbone of the AI buildout. According to Counterpoint Research figures cited by The Motley Fool, the company held 58% of the global HBM market in the first quarter of 2026, comfortably ahead of Samsung and Micron. Its operating margin has climbed from roughly 41% a year ago to 72% last quarter and 76% most recently, a trajectory that reflects how severely supply has lagged demand for AI memory. The company said it has now finalized long-term supply agreements with about 10 customers, locking in demand well past the current product cycle.
HBM4 shipments begin as HBM4E samples go out the door
SK Hynix began mass shipments of its HBM4 memory in the second quarter of 2026, with production ramping through the second half of the year, the company has said. At the same time, it has already sent out sample shipments of the next generation, HBM4E, to customers during the first half — an unusually fast cadence that underscores how compressed product cycles have become as AI chipmakers race for more memory bandwidth. HBM4 is a critical input for Nvidia’s upcoming Vera Rubin GPU platform and AMD’s Instinct accelerators, both of which require far higher memory bandwidth than prior generations to keep pace with larger AI models.
The $500 billion deal behind the numbers
Much of SK Hynix’s confidence stems from a sweeping agreement announced on July 24, 2026, when SK Group and Nvidia said they would expand their partnership into a package worth more than $500 billion covering AI factories and next-generation memory, according to Nvidia’s own newsroom and a CNBC report. Under the deal, SK Telecom will build a 2-gigawatt AI cloud facility in South Korea running Nvidia’s Vera Rubin platforms on SK Hynix’s HBM4 modules, with the first facility slated to begin operating in 2027. Separately, Nvidia and SK Hynix agreed to a long-term arrangement to secure and co-develop future AI memory supply. The agreement was formalized through letters of intent rather than binding contracts, a distinction some analysts have flagged as a reason for market caution despite the headline figure.
Why investors are still nervous
Bulls point to structural tailwinds: HBM is a bottleneck input for the entire AI accelerator industry, SK Hynix has the largest share of that bottleneck, and pricing power built on scarcity should persist for years given the lead time to add new fabrication capacity. Skeptics counter that memory stocks are historically volatile and cyclical, that the SK Group-Nvidia pact is a non-binding letter of intent rather than a locked-in contract, and that a broader semiconductor sell-off in early August — triggered partly by weak preliminary earnings from Samsung and renewed tariff jitters — dragged down chip stocks across the board regardless of individual company fundamentals. Some investors are also wary of how much of SK Hynix’s near-term earnings growth is already priced in after the stock’s sharp multi-month run-up earlier in the year.
A memory market with two-year visibility
SK Hynix’s position mirrors what rival Micron has said publicly: memory supply is expected to stay tight well beyond 2027 because new fabrication capacity from competitors won’t meaningfully arrive until 2028. That gives incumbents like SK Hynix an unusually long runway of pricing power, but it also means any wobble in AI capital-spending plans from hyperscalers or GPU makers would hit a company whose fortunes are now tightly bound to a single application — AI training and inference — rather than the broad base of PC and smartphone demand memory makers relied on in past cycles.
What’s next
The next catalysts for SK Hynix are the pace at which its HBM4 ramp converts into revenue during the second half of 2026, further detail on how the SK Group-Nvidia letters of intent convert into firm orders, and whether HBM4E sampling translates into a 2027 product launch that keeps SK Hynix ahead of Samsung’s competing zHBM effort and Micron’s expansion plans. For now, the company’s fundamentals look stronger than its stock chart, a gap that will likely persist until investors get more clarity on whether the AI memory supercycle has further room to run or is approaching its peak pricing power.