CORRECTED-Ryerson Holding expects Q4 shipments to decrease, to buy Olympic Steel

Reuters
2025/10/29
CORRECTED-<a href="https://laohu8.com/S/RYI">Ryerson Holding</a> expects Q4 shipments to decrease, to buy <a href="https://laohu8.com/S/ZEUS">Olympic Steel</a>

Corrects Key Details table to say Q3 free cash flow of -$18.8 mln from Q3 adjusted free cash flow $8.30 mln; removes "co agrees" from headline

Overview

  • Ryerson Q3 2025 revenue of $1.16 bln, in-line with company's guidance amid weak demand

  • Company reports Q3 net loss of $14.8 mln, compared to prior quarter's net income

  • Ryerson announces merger agreement to acquire Olympic Steel

Outlook

  • Company expects Q4 shipments to decrease by 5% to 7% due to seasonality and soft demand

  • Ryerson anticipates Q4 net sales between $1.07 bln and $1.11 bln

  • Company projects Q4 adjusted EBITDA, excluding LIFO, between $33 mln and $37 mln

Result Drivers

  • SELF-HELP ACTIONS - Ryerson executed self-help actions to achieve revenue within guidance amid weak demand and tariff pricing conditions

  • TARIFF PRICING - Tariff-supported pricing for carbon and aluminum products partially offset weak demand conditions

  • OPERATIONAL EFFICIENCY - Co reduced debt and managed net working capital efficiently while taking out non-value-added expenses

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Free Cash Flow

- $18.8 mln

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is no "strong buy" or "buy", 2 "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 Ryerson Holding Corp is $24.00, about 4.7% above its October 27 closing price of $22.87

Press Release: ID:nPnc4SD11a

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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