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Canfor Q3 posts net loss on lower lumber shipment volumes

Canfor Q3 posts net loss on lower lumber shipment volumes


Overview

  • Canada forest products maker's Q3 revenue rose slightly yr/yr to C$1.28 bln

  • Company posted C$88 mln net loss and C$77 mln operating loss for Q3 2026

  • Adjusted EBITDA fell to C$98 mln from C$120 mln in prior qtr


Outlook

  • Company expects challenging market conditions to persist through year-end, with softer lumber demand

  • Canfor anticipates North American lumber markets will soften in Q4 2026 due to seasonal slowdown

  • Company expects global softwood kraft pulp market to remain subdued through year-end


Result Drivers

  • LOWER EUROPEAN SHIPMENTS - Co said lower lumber shipment volumes in Europe, due to regular summer downtime, weighed on results

  • HIGHER PULP AND PAPER OUTPUT - Increased pulp and paper production after prior maintenance downtime supported segment results

  • PAPER BUSINESS - Strong earnings from paper business contributed positively to pulp and paper segment


Company press release: ID:nGNX76Q9cK


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

C$1.28 bln

Q3 Net Loss

C$88.20 mln

Q3 Loss Per Basic Share

C$0.75

Q3 Operating Income

-C$76.60 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", 4 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the forest & wood products peer group is "buy"

  • Wall Street's median 12-month price target for Canfor Corporation is C$17.00, about 13.5% above its November 3 closing price of C$14.98


Reuters Recommended Reads

  • Nov 2 - Boise Cascade Q3 sales rise, beat estimates

  • Nov 4 - Canada's Stella-Jones Q3 revenue misses estimates on asset impairment


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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