英特尔单日暴涨24%创新高,34位分析师仅6人给出买入评级

Intel Surges 24% in a Single Day to Record High, Only 6 of 34 Analysts Give Buy Rating

BroadChainBroadChain04/27/2026, 01:02 PM
This content has been translated by AI
Summary

Intel's Q1 earnings beat expectations drove its stock price to surge 24% in a single day, hitting a

BroadChain News, 13:02 on April 27 - Intel's Q1 earnings significantly exceeded expectations, with revenue of $13.6 billion and adjusted earnings per share of $0.29 (market expectations were only $0.01). Driven by this, the stock price surged approximately 24% to $82.57 on April 24, marking the largest single-day gain since 1987 and breaking through the historical high from the 2000 internet bubble era.

However, the stock price rally stands in stark contrast to Wall Street consensus. Among the 34 analysts covering Intel, only 6 have a buy rating, 24 maintain a hold, and 4 recommend selling. The median target price is around $55, implying that most analysts believe the current stock price is overvalued by more than 30%.

The data center and AI business became the biggest growth engine, with revenue of $5.1 billion, up 22% year-over-year, far exceeding the expected $4.41 billion. Client computing (PC chips) revenue reached $7.7 billion, also surpassing the forecast of $7.1 billion. Q2 guidance was equally strong: revenue expectations of $13.8-14.8 billion and adjusted earnings per share of $0.20, both significantly above market expectations.

What further excited the market was the simultaneous execution of three strategic transactions: Intel became the main foundry partner for Musk's Terafab plan, with Tesla set to adopt its 14A process; a multi-year partnership with Google to deploy Xeon 6 processors; and a $14.2 billion buyback of a 49% stake in Ireland's Fab 34 plant.

Analyst opinions are sharply divided. Roth Capital upgraded its rating to buy, doubling the target price to $100; while Bank of America maintained a sell rating, arguing that the stock price has detached from fundamentals. Intel CEO Chen Liwu emphasized that AI is shifting from model training to inference applications, and CPUs will once again become indispensable infrastructure in the AI era.