Mercer Q3 revenue misses analyst estimates as trade uncertainties hurt demand

Reuters
2025/11/07
Mercer Q3 revenue misses analyst estimates as trade uncertainties hurt demand

Overview

  • Mercer Q3 revenue declines 9% yr/yr, missing analyst expectations

  • Operating EBITDA turns negative, impacted by lower pulp sales and higher fiber costs

  • Company advances cost-saving initiatives to improve liquidity and efficiency

Outlook

  • Mercer expects weak pulp prices to persist in Q4 2025

  • Company anticipates modest lumber price increase in Europe in Q4 2025

  • Mercer plans further cost reductions and lower capital expenditures for 2026

Result Drivers

  • GLOBAL ECONOMIC CHALLENGES - Persistent global economic and trade uncertainties, fiber scarcity, and pulp substitution negatively impacted demand and pricing, contributing to a $20.4 mln inventory impairment

  • COST-SAVING INITIATIVES - Co continues One Goal One Hundred program targeting $100 mln in cost savings by end of 2026, with $30 mln expected by end of 2025

  • CARBON CAPTURE PROJECT - Advancing carbon capture project at Peace River mill, in partnership with Svante Technologies, with pilot expected to operate in Q4 2025

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Miss

$458.07 mln

$497.50 mln (2 Analysts)

Q3 Net Income

-$80.78 mln

Q3 EBITDA

-$28.08 mln

Q3 Operating Income

-$67.59 mln

Analyst Coverage

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

  • The average consensus recommendation for the paper products peer group is "buy."

  • Wall Street's median 12-month price target for Mercer International Inc is $3.00, about 36% above its November 5 closing price of $1.92

Press Release: ID:nGNX54sHVS

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@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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