Nvidia's latest earnings report, released after market close on August 26, 2026, showed the chipmaker beating analyst expectations on both revenue and profit. The company's core data center business, which supplies the graphics processing units (GPUs) essential for training and running large AI models, continued to surge as demand from cloud providers and enterprise customers shows no signs of abating.
During the earnings call, CEO Jensen Huang projected that Nvidia's revenue would grow approximately 70% in fiscal year 2028, a figure that dwarfs the average analyst estimate of around 40–50% growth. Huang attributed the optimistic outlook to the rapid expansion of AI infrastructure, calling it "the largest technology transition in computing history." He noted that customers are investing not only in current-generation chips but also in next-generation architectures like the forthcoming "Rubin" platform.
The report and guidance sent Nvidia shares up 8% in after-hours trading, adding to a year that has already seen the company's market capitalization hover near $3.5 trillion. Analysts at several major investment banks raised their price targets following the announcement, with Morgan Stanley calling the results "a clear signal that the AI capex cycle remains strong."
However, some market observers caution that Nvidia's sky-high expectations come with risks. The company's valuation — trading at roughly 50 times forward earnings — leaves little room for error. Geopolitical tensions over export controls on advanced chips to China and other countries remain a potential headwind, as does the threat of increasing competition from AMD, Intel, and in-house chip projects at hyperscalers like Google and Amazon.
Nvidia did not provide a breakdown of revenue by region, but management acknowledged that export restrictions continue to limit sales in certain markets. The company also faces scrutiny from antitrust regulators in the U.S. and Europe examining its dominance in the AI chip sector.
Despite these challenges, Huang expressed confidence that Nvidia's full-stack approach — combining hardware, software (CUDA), and networking — gives it a durable competitive advantage. "We are building the AI factory of the future," he said, "and demand for that infrastructure will only accelerate."