Ryerson Q2 revenue rises 28% after Olympic Steel merger
Reuters2026/07/29 20:48
Overview
U.S. industrial metals distributor's Q2 revenue rose 28% sequentially after Olympic Steel merger
Adjusted EPS for Q2 climbed to $0.52 from $0.30 in prior quarter
Company realized $5 mln in Q2 synergies, expects to exceed first-year synergy target
Outlook
Ryerson expects Q3 shipments to decline 3% to 5% sequentially due to normal seasonality
Company sees Q3 net sales between $1.87 bln and $1.95 bln
Ryerson expects Q3 net income of $19 mln to $21 mln, or $0.37 to $0.40 per share
Result Drivers
OLYMPIC STEEL MERGER - Olympic Steel contributed $564 mln in revenue and $23.5 mln in adjusted EBITDA, with integration driving $5 mln in Q2 synergies
HIGHER VOLUMES AND PRICES - Total tons shipped rose 22.6% and average selling prices increased 4.5% sequentially, with carbon steel, aluminum and stainless steel all posting gains
MIXED DEMAND AND SUPPLY CONSTRAINTS - Demand was strong in data center and power generation projects but uneven in traditional markets; tight domestic supply and supply disruptions supported higher prices
Company press release: ID:nPn15yjKya
Key Details
Metric |
Beat/Miss |
Actual |
Consensus Estimate |
Q2 EPS |
|
$0.30 |
|
Q2 Net Income |
|
$15.5 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 $29.00, about 6.5% below its July 28 closing price of $31.03
The stock recently traded at 17 times the next 12-month earnings vs. a P/E of 16 three months ago
Reuters Recommended Reads
July 29 - France's Constellium Q2 profit surges on higher metal prices
July 29 - Netherlands' AMG Q2 revenue rises on growth in lithium, vanadium segments
July 28 - PACCAR beats quarterly estimates on strong truck orders
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(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.)
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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