Monolithic Power Q1 earnings beat estimates on rise in rev from Enterprise Data end market

Monolithic Power Systems

30/04/2026 21:12

Overview

US semiconductor power solutions firm's Q1 revenue rose 26% yr/yr, beating analyst expectations

Adjusted EPS for Q1 beat analyst expectations

Company cites strong growth in communications and enterprise data end markets

Outlook

Company expects Q2 2026 revenue between $890 mln and $910 mln

Company sees Q2 2026 non-GAAP gross margin of 55.3% to 55.9%

Company continues to expand capacity and diversify supply chain to capture future growth opportunities

Result Drivers

COMMUNICATIONS GROWTH - Higher sales of power solutions for optical modules and switches drove a 33% sequential increase in communications revenue

ENTERPRISE DATA DEMAND - Increased sales of power management solutions for AI and server applications sequentially boosted enterprise data revenue

PROJECT PIPELINE - Multiple new project wins in automotive and enterprise data contributed to revenue growth

Company press release: ID:nGNXz6fPY

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Beat
$804.20 mln
$781.33 mln (15 Analysts)
Q1 Adjusted EPS
Beat
$5.10
$4.90 (15 Analysts)
Q1 Adjusted Gross Margin
55.50%
Q1 Adjusted Operating Income
$288 mln
Q1 Operating Expenses
$203.90 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 17 "strong buy" or "buy", 2 "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 $1,396.00, about 8.6% below its April 29 closing price of $1,526.84

The stock recently traded at 66 times the next 12-month earnings vs. a P/E of 44 three months ago

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.)