Applied Materials' Q1 revenue beats expectations

Reuters
02/13
<a href="https://laohu8.com/S/AMAT">Applied</a> Materials' Q1 revenue beats expectations

Overview

  • Semiconductor equipment maker's Q1 revenue fell 2% yr/yr, beating analyst expectations

  • Adjusted EPS for Q1 remained flat yr/yr, beating analyst expectations

  • Company achieved record DRAM and services revenue in Q1

Outlook

  • Applied Materials expects Q2 FY2026 revenue of $7.65 bln +/- $500 mln

  • Company anticipates Q2 FY2026 non-GAAP EPS of $2.64 +/- $0.20

  • Applied Materials expects semiconductor equipment business growth over 20% in 2026

Result Drivers

  • AI INVESTMENTS - Co said results were driven by increased industry investments in AI computing, boosting demand for high-performance chips

  • RECORD DRAM REVENUE - Semiconductor Systems segment achieved record DRAM revenue in Q1

  • RECORD SERVICES REVENUE - Applied Global Services delivered record services and spares revenue

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Sales

Beat

$7.01 bln

$6.87 bln (25 Analysts)

Q1 Adjusted EPS

Beat

$2.38

$2.20 (25 Analysts)

Q1 EPS

$2.54

Q1 Net Income

$2.03 bln

Q1 Adjusted Free Cash Flow

$1.04 bln

Q1 Adjusted Gross Margin

49.1%

Q1 Adjusted Operating Margin

30%

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 28 "strong buy" or "buy", 9 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the semiconductor equipment & testing peer group is "buy"

  • Wall Street's median 12-month price target for Applied Materials Inc is $360.00, about 5.9% above its February 11 closing price of $339.88

  • The stock recently traded at 33 times the next 12-month earnings vs. a P/E of 25 three months ago

Press Release: ID:nGNX2wJ01b

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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