Norway's BlueNord Q3 revenue beats on higher output, commodity prices

By Reuters News


Overview

  • European oil and gas producer's Q3 revenue rose, beating analyst expectations

  • Higher production and commodity prices drove quarterly revenue growth

  • Shareholders approved proposed merger with Vår Energi; closing expected around year-end


Outlook

  • Company expects merger with Vår Energi to close around year-end 2026


Result Drivers

  • HIGHER SALES VOLUMES AND PRICES - Co said increased oil and gas sales volumes and higher commodity prices drove revenue growth

  • TYRA HUB PERFORMANCE - Co said Tyra hub reached peak production levels and improved stability following maintenance

  • MAINTENANCE COMPLETION - Co attributed higher production to completion of planned maintenance at Tyra and Gorm hubs


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$346 mln

$327.75 mln (4 Analysts)

Q3 Adjusted Free Cash Flow

$69.70 mln

Q3 EBITDA

$219.60 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", 1 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the oil & gas exploration and production peer group is "buy"

  • Wall Street's median 12-month price target for Bluenord ASA is NOK540.00, about 14.1% below its October 27 closing price of NOK629.00

  • The stock recently traded at 12 times the next 12-month earnings vs. a P/E of 8 three months ago


Reuters Recommended Reads

  • Oct 28 - Equinor profit doubles as Middle East war lifts oil, gas prices

  • Oct 27 - Natgas producer EQT's Q3 profit beats expectations on lower operating costs

  • Oct 27 - Natural gas producer Range Resources' Q3 adjusted EPS, net income beat 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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