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first_img Goldman Sachs: Nvidia's impressive earnings report may struggle to boost stock prices

According to the Financial Associated Press, Nvidia will announce its Q2 2027 financial report after the US stock market closes on August 26. Goldman Sachs expects strong performance with potential upward revisions in guidance, but notes that the stock price has already surged since August, with an increase of over 12% in the past two weeks, suggesting that the good news may have already been priced in, making it difficult for excellent performance to boost the stock price. Goldman Sachs' EPS forecasts for Nvidia in Q2 and Q3 are 6% and 12% higher than Wall Street's consensus expectations, respectively, with a target price of $285, which is still slightly below the market average.Goldman Sachs believes there is room for revaluation in the valuation, provided that the profitability of large-scale cloud vendors improves to support capital expenditures, Nvidia maintains caution on its customer financing platform to alleviate concerns about supplier circular financing, and continues to advance large-scale buybacks and dividends. Investors will focus on details of the customer financing platform in the earnings call, progress on the Vera Rubin platform, gross margins and raw material costs, CPU demand driven by AI agents, and the competitive landscape in the industry.Goldman Sachs points out that while GPU demand is strong, there is still a risk of a pullback, and the difficulty of "exceeding expectations and raising guidance" increases each quarter, raising doubts about whether cloud vendors can continue to ramp up capital expenditures. Earlier this month, Nvidia, in collaboration with Apollo, BlackRock, Blackstone, Goldman Sachs, KKR, and others, established a financing platform for AI computing infrastructure, aiming to leverage over $500 billion in third-party capital; concerns about circular financing are rising in the market, and the company needs to release more substantial new information, or else the stock price is more likely to decline rather than surge after the earnings report.

first_img Samsung's advanced foundry prices rise by up to 15%, driven by AI demand boosting capacity

According to Reuters, citing informed sources, Samsung Electronics has raised prices for some new advanced foundry service orders by up to 15%, due to a surge in demand for AI chips leading to tight capacity. The company has long lagged behind TSMC in the foundry sector. Demand from Chinese customers is particularly strong, but Samsung must prioritize serving U.S. customers and reserve some capacity to support its own chip production, making it unable to take on all orders. Affected by U.S. export restrictions on advanced chip equipment to China, Chinese companies are increasingly reliant on overseas foundries, with some Chinese customers accepting the maximum price increase.Informed sources stated that Samsung raised the prices for the 4nm (SF4) process in July, with price increases of 10% to 15% for Chinese and U.S. customers, and 5% to 10% for Taiwanese customers; the price for 5nm (SF5) wafers increased by 10% to 15%, nearly 10% higher than the older 8nm process. The SF4 production line at the Pyeongtaek factory has been operating at full capacity since the end of last year, producing logic chips for customers like Qualcomm and providing basic bare chips for Samsung's own HBM. Analysts point out that after TSMC's advanced capacity was fully booked, customers turned to Samsung and Intel, giving Samsung room to raise prices.Samsung's foundry business has been continuously losing money since 2022, but the company expects to quickly turn a profit driven by improved utilization rates, yield improvements, and rising prices. Foundry revenue in the second half of the year is expected to grow by double digits year-on-year, with advanced processes accounting for more than half, and AI and high-performance computing applications accounting for over 30%. Companies like Tesla, Apple, Broadcom, and NVIDIA have already reached relevant cooperation agreements with Samsung, and Google is also in talks to use the SF4 process.
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