Germany's Aixtron Q3 EBIT beats on favorable product mix 

By Reuters News


Overview

  • Germany semiconductor equipment provider's preliminary Q3 revenue slightly missed analyst expectations

  • Preliminary Q3 EBIT beat analyst expectations, margin rose to 31%

  • Q3 preliminary order intake rose sharply yr/yr


Outlook

  • Aixtron maintains its guidance for fiscal year 2026


Result Drivers

  • PRODUCT MIX - Co said favorable product mix contributed to operating profitability exceeding market expectations

  • ORDER INTAKE - Co said sharp increase in order intake drove results, with Q3 orders significantly above prior-year

  • GROSS MARGIN - Co reported higher gross margin, up to 48% from 39% yr/yr


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Slight Miss

EUR 184 mln

EUR 185.3 mln (6 Analysts)

Q3 EBIT

Beat

EUR 57 mln

EUR 48.41 mln (5 Analysts)

Q3 Orders

EUR 275 mln

*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 7 "strong buy" or "buy", 11 "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 Aixtron SE is €44.00, about 24% above its October 14 closing price of €35.49

  • The stock recently traded at 29 times the next 12-month earnings vs. a P/E of 52 three months ago


Reuters Recommended Reads

  • Oct 14 - ASML's strong orders ease fears AI spending boom is running out of steam

  • Oct 14 - ASML's Q3 net income beats, helped by demand for productivity upgrades in installed systems

  • Oct 15 - Switzerland's VAT Group Q3 sales rise, orders nearly triple on chip demand


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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