Ramaco Resources Q3 adjusted EBITDA misses estimates on higher costs; lowers FY production guidance

By Reuters News


Overview

  • US metallurgical coal miner's Q3 revenue rose 24% yr/yr, beating analyst expectations

  • Adjusted EBITDA for Q3 missed consensus on higher costs and lower production

  • Company posted net loss as costs rose and higher-cost output was idled


Outlook

  • Company lowers 2026 production guidance to 3.5–3.6 mln tons from 3.6–3.9 mln tons

  • Company raises 2026 cash cost guidance to $101–$103/ton from $96–$99/ton due to inflation

  • Company increases 2026 capital expenditure guidance to $97–$102 mln from $92–$97 mln


Result Drivers

  • HIGHER COSTS - Co said cash mine costs rose 7% yr/yr, mainly due to higher diesel prices

  • INVENTORY SALES - Increased coal sales were driven by reduction of previously stockpiled inventory

  • PRODUCTION CUTS - Production fell 10% yr/yr due to idling of higher-cost output amid weak market conditions


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$150.10 mln

$140.23 mln (7 Analysts)

Q3 Loss Per Share

$0.32

Q3 Net Loss

$18.20 mln

Q3 Adjusted EBITDA

Miss

$3.0 mln

$8.09 mln (7 Analysts)


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 6 "strong buy" or "buy", 3 "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 Ramaco Resources, Inc. is $18.00, about 173.1% above its November 2 closing price of $6.59


Reuters Recommended Reads

  • Nov 2 - Metallus Q3 sales rise 10% on customer demand

  • Nov 2 - Diamondback Energy Q3 revenue beats on higher oil output

  • Nov 2 - Kosmos Energy Q3 revenue falls short of estimates


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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