Nvidia(US:NVDA) Bei Jing Shang Bao·2025-11-21 03:33Core Viewpoint - The recent earnings report from NVIDIA has temporarily alleviated concerns about a potential AI bubble, showcasing strong financial performance while also revealing some underlying risk signals [1][2]. Financial Performance - For Q3 of FY2026 (ending October 26, 2025), NVIDIA reported a revenue increase of 62.5% year-over-year and a net profit growth of 65%, with data center revenue surpassing $50 billion for the first time [2]. - NVIDIA's guidance for the next quarter anticipates total revenue of $65 billion, exceeding analyst expectations of $61.7 billion, and does not include revenue from data centers in China [3]. Demand and Inventory Concerns - Despite strong earnings, NVIDIA's accounts receivable have been rising, reaching $33.391 billion in Q3, with 65% coming from four major clients [4][5]. - Inventory levels have also increased to $19.784 billion, with days inventory outstanding (DIO) rising to 117.5 days, significantly higher than the average of the past five years [4]. Customer Concentration Risks - NVIDIA's revenue is heavily reliant on a few major clients, with four direct customers contributing 61% of total revenue, up from 56% in the previous quarter [5][6]. - This high customer concentration poses risks to revenue stability if these clients alter their capital expenditure plans [6]. Market Sentiment and Analyst Opinions - Analysts have mixed views, with some maintaining bullish ratings on NVIDIA, citing strong AI demand and growth potential for cloud service providers [7]. - Conversely, notable investors like Peter Thiel and Bridgewater Associates have significantly reduced their holdings in NVIDIA, indicating caution regarding its high valuation and associated risks [8]. Broader AI Market Context - The AI sector is experiencing both excitement and skepticism, with discussions around potential bubbles and the long-term impacts of AI on various industries [8]. - Experts suggest that while there may be short-term speculative bubbles, the transformative potential of AI should not be underestimated [8].