Marvell (MRVL) Beats Forecasts But Shares Slip As Investors Demand More From AI Chipmaker

Marvell Technology (MRVL) shares fell 1.5% in extended trading Thursday despite the semiconductor company delivering second-quarter results and guidance that topped Wall Street expectations.

The company posted record fiscal second-quarter revenue of $2.739 billion, up 13% from the prior quarter and 37% compared to the same period a year earlier.

Non-GAAP earnings per share came in at $0.94, beating analyst forecasts by $0.01, while revenue topped expectations by approximately $30 million.

Looking ahead, Marvell issued third-quarter revenue guidance of $3.15 billion at the midpoint, coming in roughly 4% above what analysts had been projecting.

The company also guided for adjusted earnings of $1.10 per share in the third quarter, again surpassing Wall Street’s consensus estimate.

Investor expectations were elevated heading into the report, with Marvell’s stock having nearly tripled in value so far this year on the back of AI-driven optimism in the semiconductor sector.

Both sequential and year-over-year growth accelerated from the first fiscal quarter, and management expects that momentum to carry into the third fiscal quarter.

Data center revenue is forecast to grow more than 20% sequentially and roughly 75% year-over-year, with demand remaining broad-based across AI products including interconnect, switching, and custom solutions.

Despite the strong numbers, Wall Street signaled that simply meeting or narrowly beating expectations was no longer sufficient for a stock carrying this level of investor enthusiasm.

A great deal of the positive news, including stronger earnings and optimistic guidance, appears to have already been priced into the stock well before Thursday’s report was released.

Management now faces pressure to demonstrate that fiscal 2027 growth can remain robust and that fiscal 2028 revenue projections still have meaningful room to move higher.

Investors are also closely watching whether Marvell can capitalize as AI computing clusters continue to grow larger and more technically complex, opening new opportunities for its product lineup.