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SK hynix Reports Record Q3 Revenue of ₩104.6 Trillion as AI Memory Demand Drives Supply

SK hynix reports record Q3 revenue of ₩104.6 trillion as AI and computing demand drives memory supply commitments through 2029.

SK hynix semiconductor memory production and financial performance following record third-quarter revenue of ₩104.6 trillion.

South Korean semiconductor manufacturer SK hynix reported quarterly revenue exceeding ₩100 trillion for the first time, reaching ₩104.6 trillion, equivalent to approximately $78.5 billion, according to information shared by Coin Bureau. The record performance comes amid strong demand for advanced memory products used in artificial intelligence (AI) systems and high-performance computing.

The company also reported operating profit of $62.5 billion, representing an operating margin of 80%, while net profit reached $29.8 billion. These figures highlight the scale of its reported profitability during the third quarter (Q3), although the information provided by Coin Bureau did not include a year-on-year comparison or additional details about the reporting period.

SK hynix Memory Production Booked Through 2029

Beyond its quarterly financial performance, SK hynix is facing substantial demand for its memory products. Long-term agreements already cover more than half of the company's expected production capacity for 2027 and 2028, indicating that customers are securing future supplies well ahead of delivery.

When demand that remains under discussion is also considered, the company's dynamic random-access memory (DRAM) and high-bandwidth memory (HBM) supplies are effectively sold out through 2029, according to Coin Bureau.

The distinction between confirmed long-term agreements and ongoing negotiations is important. More than half of the anticipated production capacity for 2027–2028 is already covered by long-term deals, while additional prospective demand contributes to the assessment that available DRAM and HBM supply is effectively committed through 2029.

Memory Shortages Could Continue Through 2030

SK hynix expects memory shortages to persist through 2030, with demand from computing and AI applications continuing to outpace available supply for several years. The outlook points to a prolonged supply-demand imbalance rather than a temporary increase in orders.

High-bandwidth memory has become an important component of AI computing infrastructure, while DRAM remains essential to a broad range of computing applications. The reported commitments for future production reflect the scale of demand facing SK hynix across these memory categories.

The company's expectations also suggest that supply constraints could remain a defining feature of the memory market well beyond the current production cycle. However, the information shared by Coin Bureau does not provide specific production expansion targets, projected shortage volumes or a detailed breakdown of demand by customer.

SK hynix Shares Fall Despite Record Financial Results

Despite the reported financial performance and strong forward demand, SK hynix shares closed 7.95% lower at $149 last Friday. The decline occurred amid a broader sell-off across technology stocks, according to the information shared by Coin Bureau.

The share-price movement contrasts with the company's markets reported quarterly revenue, profitability and substantial forward production commitments. However, the available information does not establish a direct connection between the stock decline and SK hynix's operating outlook.

For the memory industry, the central figures remain SK hynix's record Q3 revenue of ₩104.6 trillion, long-term agreements covering more than half of its 2027–2028 production capacity, and its assessment that DRAM and HBM supply is effectively sold out through 2029. The company expects memory shortages to continue through 2030 as computing and AI demand outpaces supply.

Writer: Victoria Hale  
Technology & Blockchain Writer

Victoria Hale writes about blockchain technology, digital infrastructure, and the intersection of emerging technologies with finance. Her articles explore how new protocols and systems are shaping the evolving digital economy.

She prioritises clarity and accuracy when explaining technical developments to a general audience.

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