Marvell Technology(US:MRVL) Guo Ji Jin Rong Bao·2025-12-03 11:36Core Viewpoint - Marvell Technology has shown strong financial performance in Q3, with revenue and adjusted earnings exceeding market expectations, indicating a positive outlook for the company's AI-related business growth [2][4]. Financial Performance - Marvell reported Q3 revenue of $2.075 billion, slightly above market expectations of $2.069 billion, representing a year-over-year growth of 37% [2]. - Adjusted earnings per share were $0.76, surpassing analyst expectations of $0.74 [2]. - For Q4, Marvell anticipates revenue of $2 billion, with a fluctuation range of ±5%, aligning with the median forecast from analysts [3]. Business Segments - The data center business, which constitutes a significant portion of Marvell's total sales, generated $1.52 billion in revenue, a 38% year-over-year increase, slightly exceeding Wall Street's expectation of $1.51 billion [4]. - Marvell expects data center revenue growth to exceed 25% in FY2027, significantly higher than the general analyst forecast of 16% [4]. Market Sentiment - Following the earnings report, Marvell's stock price rose by 8.7% in after-hours trading, reversing earlier declines [4]. - Year-to-date, Marvell's stock has seen a decline of over 15%, attributed to previous earnings reports not meeting high market expectations [4]. Analyst Ratings - Marvell currently holds a composite rating of 96 (out of 99), indicating strong performance among growth stocks [5]. - Morgan Stanley analyst Joseph Moore noted that market expectations for Marvell's AI training chips have been recalibrated after previous overestimations [5]. - UBS analyst Timothy Arcuri has a "buy" rating on Marvell with a target price of $110, suggesting that clients are diversifying their technology roadmaps [5]. Strategic Moves - Marvell has not mentioned its recent acquisition of Celestial AI in the earnings report, which is valued at $3.25 billion, including $1 billion in cash and $2.25 billion in Marvell stock [6]. - Celestial AI's technology aims to overcome the limitations of traditional copper wiring, providing better bandwidth, lower latency, and improved energy efficiency, which are critical for modern AI infrastructure [6].