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Metallus Q3 sales rise 10% on customer demand

By Reuters News


Overview

  • U.S. specialty metals maker's Q3 net sales rose 10% yr/yr but missed analyst expectations

  • Company secured new U.S. Defense Logistics Agency contract with $125 mln initial order


Outlook

  • Metallus expects 2026 full-year adjusted EBITDA of $100 mln to $105 mln

  • Company expects Q4 adjusted EBITDA to be lower than Q3 2026

  • Company sees Q4 shipments down high-single-digit percent sequentially, up from prior-year Q4


Result Drivers

  • CUSTOMER DEMAND - Co said strong customer demand contributed to order book growth and supported results

  • PRODUCT MIX AND PRICING - Higher average base sales prices and improved product mix, especially from aerospace & defense, offset lower shipments in automotive and energy

  • DEFENSE CONTRACT - New U.S. Defense Logistics Agency contract and $125 mln order supported growth in aerospace & defense


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Miss

$337.20 mln

$345.15 mln (4 Analysts)

Q3 EPS

$0.55

Q3 Net Income

$23.80 mln

Q3 Pretax Profit

$32.30 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 1 "strong buy" or "buy", 1 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the iron & steel peer group is "buy"

  • Wall Street's median 12-month price target for Metallus Inc is $24.00, about 13.6% above its October 30 closing price of $21.12

  • The stock recently traded at 17 times the next 12-month earnings vs. a P/E of 18 three months ago


Reuters Recommended Reads

  • Nov 2 - Military production for navies up 50% in past two years, Naval Group says

  • Nov 2 - Marvell doubles down on AI boom with costly $115 billion Lumentum deal


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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