Monolithic Power beats Q4 revenue estimates, raises dividend by 28%

Reuters
02/06
Monolithic Power beats Q4 revenue estimates, raises dividend by 28%

Overview

  • Semiconductor solutions provider's Q4 revenue rises 20.8% yr/yr, beating analysts' expectations

  • Adjusted operating income for Q4 increases, driven by power management solutions

  • Company announced a 28% increase in quarterly dividend

Outlook

  • Company forecasts Q1 2026 revenue between $770 mln and $790 mln

  • Monolithic Power Systems expects Q1 2026 GAAP gross margin of 54.9% to 55.5%

Result Drivers

  • DIVERSIFIED GROWTH - MPS reported over 40% growth in non-Enterprise Data markets, highlighting strength in its diversified business model

  • AUTOMOTIVE AND STORAGE GROWTH - Automotive revenue increased by 43.1% and Storage & Computing by 46.0%, driven by higher sales in power solutions

  • DATA CENTER EXPANSION - MPS expanded its customer base in Data Center for power solutions across AI, server, memory, optical modules, and switch applications

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$751.20 mln

$739.93 mln (15 Analysts)

Q4 Adjusted Gross Margin

55.50%

Q4 Adjusted Operating Income

$269 mln

Q4 Operating Expenses

$214.30 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 17 "strong buy" or "buy", 3 "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 Monolithic Power Systems Inc is $1,250.00, about 10% above its February 4 closing price of $1,136.83

  • The stock recently traded at 55 times the next 12-month earnings vs. a P/E of 50 three months ago

Press Release: ID:nGNXbfccMc

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