Marvell Technology Q3 revenue edges past estimates on strong demand for data center products

Reuters
10小時前
Marvell Technology Q3 revenue edges past estimates on strong demand for data center products

Overview

  • Marvell Q3 revenue rises 37% yr/yr to $2.075 bln, edging past analyst expectations

  • Adjusted EPS for Q3 beats analyst expectations

  • Company completes sale of automotive ethernet business, gains $1.8 bln pre-tax

Outlook

  • Marvell expects Q4 revenue of $2.200 bln +/- 5%

  • Company forecasts full-year revenue growth to exceed 40%

  • Marvell anticipates higher data center revenue growth next year

Result Drivers

  • DATA CENTER DEMAND - Record revenue driven by strong demand for data center products, per CEO Matt Murphy

  • AUTOMOTIVE SALE IMPACT - Sale of automotive ethernet business resulted in $1.8 bln pre-tax gain

  • AI INFRASTRUCTURE ENHANCEMENT - Acquisition of Celestial AI to strengthen AI datacenter infrastructure

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Slight Beat*

$2.08 bln

$2.07 bln (30 Analysts)

Q3 Adjusted EPS

Beat

$0.76

$0.73 (30 Analysts)

Q3 EPS

$2.20

Q3 Net Income

$1.90 bln

Q3 Gross Margin

51.60%

* Applies to a deviation of less than 1%; not applicable for per-share numbers.Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 30 "strong buy" or "buy", 13 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the semiconductors peer group is "buy"

  • Wall Street's median 12-month price target for Marvell Technology Inc is $90.00, about 1.2% below its December 1 closing price of $91.10

  • The stock recently traded at 28 times the next 12-month earnings vs. a P/E of 20 three months ago

Press Release: ID:nBw3n9hKka

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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