Semiconductor stocks in focus after SK Hynix results; Micron, Nvidia top Quant list (SMH:NASDAQ)

SK Hynix extended its forecast for memory supply constraints to 2030, citing high demand and production challenges. Q3 2026 revenue hit 104.6155 trillion won ($78 billion). The company plans significant capital expenditures in 2027 to expand production. SK Hynix also abandoned plans to take Solidigm public, citing market conditions, and will return Kioxia investment gains to shareholders via a special dividend.

SK Hynix reported record quarterly revenue of 104.6 trillion Korean won ($78.1 billion) and operating profit of 83.3 trillion won ($62.1 billion), driven by strong demand for advanced memory products. The company expects a memory shortage to persist through 2030 and plans to invest 40 trillion won ($30 billion) in capacity this year. SK Hynix also announced a 100 trillion won ($75 billion) shareholder return. Its shares rose 10.9% following the earnings report.

SK Hynix reported a record Q3 operating profit of 83 trillion won and announced a 100 trillion won shareholder return, boosting the KOSPI by 6.63%. Foreign and institutional investors led net purchases. Samsung Electronics is expected to announce its earnings and shareholder return measures, with forecasts suggesting it may surpass SK Hynix's return. U.S. tech earnings, including Microsoft and Alphabet, may also impact the market.

SK hynix reported a record operating profit of $62.23B for Q3, driven by strong demand for DRAM and HBM. The company's shares surged 10.89% following the earnings release. SK hynix stated that its memory products are booked through 2029, with long-term supply agreements secured. Analysts expect continued earnings growth and have set price targets for the stock.

Tech stocks may rise after SK Hynix reported record Q3 earnings, with its stock up 11% and South Korea's KOSPI up 6.63%. Nasdaq futures rose on the news, while S&P 500 futures were flat ahead of a Fed interest rate decision. Traders expect the Fed to hold rates at 3.75%.

NVIDIA and Oracle plan to expand Oracle Cloud Infrastructure (OCI) Superclusters using NVIDIA Vera Rubin NVL72 systems to multi-gigawatt scale to meet AI demand. The collaboration includes generally available Vera Rubin NVL72 and NVIDIA Vera CPUs on OCI, with plans to introduce NVIDIA HGX Rubin NVL8. OpenAI has already used OCI for training and serving GPT-6 Astra on a supercluster with over 100,000 NVIDIA Blackwell GPUs, highlighting the infrastructure's role in AI advancements.