Chemicals producer Lanxess Q3 sales rise on higher prices

By Reuters News


Overview

  • Germany specialty chemicals producer's Q3 sales rose 9.6% yr/yr, mainly driven by higher prices

  • EBITDA pre exceptionals for Q3 increased yr/yr despite challenging market conditions

  • Company posted net loss of EUR 70 mln in Q3


Outlook

  • Lanxess expects 2026 EBITDA pre exceptionals at upper end of €450 mln-€500 mln range

  • Company expects positive free cash flow in Q4 2026

  • Lanxess cites persistently challenging market environment for its outlook


Result Drivers

  • HIGHER PRICES - Co attributed sales growth mainly to higher selling prices driven by increased raw material costs

  • COST REDUCTIONS OFFSET - Structural cost reductions helped, but were offset by higher logistics costs and supply chain disruptions

  • HIGHER OPERATING COSTS - Increased selling and administration expenses contributed to net loss


Company press release: Full Story


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

EUR 1.47 bln

Q3 Loss Per Share

EUR 0.81

Q3 Net Loss

EUR 70 mln

Q3 EBIT pre exceptionals

EUR 18 mln

Q3 EBITDA pre exceptionals

EUR 139 mln


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 3 "strong buy" or "buy", 9 "hold" and 8 "sell" or "strong sell"

  • The average consensus recommendation for the diversified chemicals peer group is "buy."

  • Wall Street's median 12-month price target for Lanxess AG is €17.00, about 39% above its November 4 closing price of €12.23


Reuters Recommended Reads

  • Nov 3 - German chemical sector mood slips in October after two-month recovery, Ifo says

  • Nov 3 - Switzerland's Clariant Q3 sales beat on higher prices, EBITDA misses on cost pressure

  • Nov 2 - Celanese Q3 sales rise 6%


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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