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Global Market Insights

Dell Stock Soars 39% on Record Q1 AI Server Revenue, May 29

May 29, 2026
04:31 PM
3 min read

Key Points

Record Q1 revenue of $43.84 billion, up 88% year-over-year, beats analyst estimates by 24%.

AI server revenue exploded 757% to $16.1 billion, driving Infrastructure Solutions Group growth.

Full-year revenue guidance raised to $165-169 billion, reflecting sustained AI infrastructure demand.

Stock up 39% in extended trading, but P/E ratio of 36.68 and overbought RSI raise valuation concerns.

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Dell Technologies reported its fastest revenue growth since returning to public markets in 2018, with Q1 sales reaching $43.84 billion, up 88% year-over-year. AI server revenue exploded 757% to $16.1 billion. The stock jumped 39% in extended trading after the company raised full-year revenue guidance to $165 billion to $169 billion. This matters to investors because Dell is shifting from a traditional hardware company to a major AI infrastructure supplier, and the market is repricing the stock accordingly.

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Record Earnings Crush Expectations

Dell reported adjusted earnings per share of $4.86, crushing the $2.94 consensus estimate. Revenue of $43.84 billion beat the $35.43 billion estimate by 24%. Net income more than tripled to $3.44 billion from $965 million a year earlier. The company’s Infrastructure Solutions Group (ISG), which sells servers and storage, generated $29 billion in revenue, more than doubling year-over-year.

AI Server Demand Accelerates Growth

AI-optimized server revenue surged 757% to $16.1 billion in the quarter. Dell now expects full-year AI revenue of $60 billion, up from a prior forecast of $50 billion made in February. That represents 144% year-over-year growth. The company serves over 5,000 AI server customers across cloud providers, sovereign clients, and enterprises. This acceleration shows no signs of slowing as data center buildouts continue globally.

Guidance Raised, Stock Repriced

Dell raised its full-year revenue forecast to $165 billion to $169 billion, reflecting confidence in sustained AI demand. The stock closed at $305.32 on May 28, then jumped to $317.05 in regular trading on May 29, up 3.8% for the day. Year-to-date, DELL is up 152.6%, vastly outpacing the S&P 500’s 10% gain. Analysts at firms including Morgan Stanley have raised their price targets following the results.

Valuation Concerns Amid Momentum

Dell trades at a price-to-earnings ratio of 36.68, well above historical averages, reflecting the AI premium. Meyka rates the stock B+ with a 12-month price target of $153.95, suggesting limited upside from current levels. However, the RSI indicator at 80.80 signals overbought conditions, and the stock’s 39% single-day jump raises questions about sustainability. With 28 buy ratings and only 2 sell ratings among analysts, consensus remains bullish despite valuation concerns.

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Final Thoughts

Dell’s record earnings and AI server surge have pushed the stock up 39% in one day, but valuation metrics suggest caution. With Meyka rating the stock B+ and technical indicators showing overbought conditions, investors should weigh near-term momentum against longer-term value.

FAQs

Why did Dell stock jump 39% after earnings?

Dell reported record Q1 revenue of $43.84 billion, up 88% year-over-year, with AI server revenue surging 757% to $16.1 billion. Raised full-year guidance.

What is Dell’s expected AI revenue for the full year?

Dell expects $60 billion in AI revenue for the full year, representing 144% year-over-year growth and up from prior forecast of $50 billion.

How many AI server customers does Dell have?

Dell serves over 5,000 AI server customers globally, including cloud providers, sovereign clients, and enterprises.

Disclaimer:

The content shared by Meyka AI PTY LTD is solely for research and informational purposes.  Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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