SK Hynix stocks fell approximately 34% this month ahead of the company's Q2 earnings announcement scheduled for the 29th. The South Korean memory chipmaker is expected to report a Q2 operating profit consensus of 64.2327 trillion won, representing a 597.2% increase from the same period last year, according to financial data provider FnGuide. The stock decline occurred as market concerns over potential AI memory demand slowdown intensified following reports of improved efficiency in Chinese AI models, compounded by rising international oil prices and foreign investor profit-taking. This downturn reflects broader sentiment contraction across the semiconductor sector despite anticipated record-breaking earnings results.
SK Hynix Reports Q2 Operating Profit Consensus of 64.2327 Trillion Won
Financial data provider FnGuide reported on the 25th that SK Hynix's Q2 consolidated operating profit consensus stands at 64.2327 trillion won. This figure represents a 597.2% increase compared to the same period last year. Despite the anticipated record-level performance, the stock has declined approximately 34% this month. The drop occurred as rising international oil prices coincided with foreign investor profit-taking, while concerns spread that improved efficiency in Chinese AI models could slow memory demand, contracting investment sentiment across the semiconductor sector.
Alphabet Earnings Ease AI Investment Slowdown Concerns
Recent market sentiment has shifted following Alphabet's earnings announcement. Google's parent company reported results exceeding market expectations and stated plans to expand AI infrastructure investment, alleviating concerns over AI investment slowdown. However, the company's stock declined after it raised its capital expenditure (CAPEX) forecast once again. Securities firms are focusing on management messages regarding memory demand, profitability, and shareholder return policies rather than the operating profit figure itself in this earnings announcement.
KB Securities Forecasts AI Efficiency Paradox Driving Memory Demand
KB Securities forecasts that an 'AI efficiency paradox' will emerge, where higher AI model efficiency leads companies to operate more AI services, ultimately expanding memory demand and AI investment. The firm analyzed that SK Hynix's valuation will rise due to expanded long-term supply agreements (LTA) with Big Tech companies and increased sales proportion centered on AI data centers. Market observers note that if SK Hynix presents positive outlooks on HBM supply expansion and AI investment plans, semiconductor investment sentiment—recently under correction—could recover rapidly. Conversely, analysts note that momentum for a rebound could weaken if HBM demand or AI investment outlook falls short of market expectations.
Upcoming Big Tech Earnings and FOMC Meeting Set Market Focus
SK Hynix's earnings announcement represents the first major event among key domestic and international market events next week. Following the announcement, earnings releases from Microsoft, Meta, Apple, and Amazon are scheduled. Experts are closely monitoring these companies' AI investment expansion trajectories and CAPEX guidance. At the Federal Open Market Committee (FOMC) meeting held the same week, the Federal Reserve's message regarding future monetary policy direction is identified as a variable that will influence market volatility more than the interest rate decision itself. Lee Kyung-min, researcher at Daishin Securities, stated, 'It is necessary to confirm LTA, memory demand, and profitability from Samsung Electronics and SK Hynix earnings announcements, and whether AI CAPEX expansion from Big Tech translates into actual revenue and profitability improvements.'
FAQ
What is SK Hynix's Q2 operating profit consensus?
According to FnGuide, SK Hynix's Q2 consolidated operating profit consensus is 64.2327 trillion won, representing a 597.2% increase from the same period last year.
Why did SK Hynix stocks fall this month despite anticipated record earnings?
The stock declined approximately 34% this month as market concerns intensified over potential AI memory demand slowdown following reports of improved efficiency in Chinese AI models, compounded by rising international oil prices and foreign investor profit-taking, which contracted sentiment across the semiconductor sector.
