SunCoke Q2 net income and EBITDA miss estimates

Reuters
2025/07/30
SunCoke <a href="https://laohu8.com/S/QTWO">Q2</a> net income and EBITDA miss estimates

Overview

  • SunCoke Q2 attributable net income misses analyst expectations, falling to $1.9 mln

  • Adjusted EBITDA for Q2 misses estimates, reflecting segment challenges

  • Co says all regulatory approvals have been received for Phoenix Global acquisition; expected to close on Aug 1

Outlook

  • SunCoke reaffirms full-year 2025 Adjusted EBITDA guidance of $210 mln-$225 mln

  • Company expects higher H2 2025 Adjusted EBITDA from improved coke sales mix

  • SunCoke anticipates 2025 net income between $40 mln and $59 mln

  • Operating cash flow for 2025 estimated at $165 mln-$180 mln

  • Capital expenditures are projected to be approximately $60 million

Result Drivers

  • CONTRACT AND SALES MIX - Timing and mix of contract and spot coke sales in Domestic Coke segment negatively impacted Q2 results, per CEO Katherine Gates

  • LOGISTICS CHALLENGES - Lower transloading volumes at Convent Marine Terminal due to challenging market conditions affected Q2 performance

  • GRANITE CITY IMPACT - Lower volumes and pricing due to contract extension economics at Granite City contributed to decreased revenue and Adjusted EBITDA

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Net Income attributable

Miss

$1.90 mln

$14.60 mln (2 Analysts)

Q2 Adjusted EBITDA

Miss

$43.60 mln

$55.90 mln (2 Analysts)

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 SunCoke Energy Inc is $12.00, about 31% above its July 29 closing price of $8.28

  • The stock recently traded at 12 times the next 12-month earnings vs. a P/E of 13 three months ago

Press Release: ID:nBw7Jn55ya

(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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