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暴涨超17%!大摩:AI推理需求增长,前端网络的升级将更加有利于Arista
AristaArista(US:ANET) 美股IPO·2025-08-06 16:52

Core Viewpoint - Arista Networks (ANET) is expected to gain market share in Ethernet as AI investments mature, with a significant boost from AI inference demand leading to upgrades in front-end networks [1][4]. Revenue and Profit Performance - In Q2, ANET reported non-GAAP revenue and EPS of $2.205 billion and $0.73, exceeding market expectations of $2.1 billion and $0.65 by 5% and 11% respectively [7]. - The non-GAAP gross margin reached 65.6%, surpassing the expected 63%, driven by strong enterprise business performance and effective inventory management [7]. - Deferred revenue increased from $2.1 billion to $2.8 billion, providing substantial support for future growth [4][7]. Adjusted Forecasts - The company raised its full-year growth outlook for 2025 from 20-22% to 25%, reflecting strong performance in cloud, AI, and enterprise segments [4][8]. - Q3 revenue and EPS expectations were adjusted upwards from $2.181 billion and $0.61 to $2.254 billion and $0.71, respectively [8]. Rating and Price Target - The rating is maintained at Overweight, with the price target increased from $120 to $125, based on a projected EPS of $3.10 for FY26, reflecting a 40x P/E ratio [9]. - The optimistic scenario suggests a price target of $169 based on an EPS of $3.75, while a pessimistic scenario sets a target of $60 based on an EPS of $2.50 [9]. Key Developments - The deployment of over 100,000 GPUs by two major customer clusters and a faster-than-expected deployment by a fourth customer indicates strong demand [9]. - The company has seen an increase in enterprise and neo-cloud customers from 10-15 to 25-30, compensating for the loss of a fifth customer [9]. - Todd Nightingale's appointment as President and COO is expected to drive further growth in the enterprise business, which has significant market potential [9]. Upcoming Catalysts - The upcoming analyst day on September 11 is anticipated to provide critical updates on the company's long-term goals and AI outlook, marking a key catalyst for future performance [9].