Nvidia (NASDAQ: NVDA) posted second-quarter results that beat Wall Street expectations on both revenue and earnings per share. On the earnings call, CEO Jensen Huang also delivered a light remark that stood out: companies that have dinner with him see their stock price double.
Huang used his dinner schedule to answer a supply chain question
During Nvidia’s second-quarter earnings call, a Goldman Sachs analyst asked Huang what the biggest supply chain bottleneck was for the company’s growth. Huang responded half-jokingly that the market pays close attention to his private meetings and dining schedule, and often watches who he has dinner with. According to his joke, anyone who has eaten with him sees their stock double the next day.
He then returned to the substance of the question and said the semiconductor supply chain remains under significant pressure, with Nvidia doing everything it can to raise output.
Past public meetings have moved markets
ABMedia said Huang’s public dinner and meeting schedule has repeatedly stirred market activity. In October last year, Huang met Samsung Electronics Chairman Lee Jae-yong and Hyundai Motor Chairman Chung Euisun in Seoul, a meeting that lifted South Korean fried chicken-related stocks.
In June, after Huang made positive comments about Marvell Technology, the company’s shares rose 32% in a single day.
Second-quarter results and third-quarter outlook both topped forecasts
Nvidia said second-quarter revenue reached $96.2 billion, above analysts’ prior estimate of $92 billion. Adjusted earnings per share came in at $2.22. Revenue from the data center segment was $89 billion, showing that demand for artificial intelligence infrastructure remained elevated.
For the third quarter, Nvidia projected revenue of about $108 billion, above the market expectation of $103.5 billion. After the earnings release, Nvidia shares jumped more than 8% in after-hours trading, closing at $227.98.
Huang says AI has entered a practical stage
On the call, Huang said artificial intelligence technology has moved into a practical phase, with related applications showing both productivity and profitability. He said compute resources are being converted directly into revenue.
Nvidia expects demand to keep growing, with momentum in data center buildouts and chip purchases still intact. Institutional investors and the broader market are watching the company’s delivery performance and whether capital spending across the AI sector can support longer-term results.