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Solaris Energy Infrastructure Q3 revenue beats estimates

By Reuters News


Overview

  • US power infrastructure firm's Q3 revenue rose 55% sequentially, beating analyst expectations

  • Adjusted EPS for Q3 beat analyst expectations

  • Company raised Q4 2026 and Q1 2027 adjusted EBITDA guidance


Outlook

  • Solaris raises Q4 2026 Adjusted EBITDA guidance to $165-185 mln from $145-180 mln

  • Company lifts Q1 2027 Adjusted EBITDA outlook to $220-260 mln from $200-240 mln

  • Solaris expects 2027 Adjusted EBITDA to more than double 2026 levels


Result Drivers

  • POWER CONTRACTS - Co said new long-term power contracts with investment-grade customers contributed to increased revenue and capacity

  • INCREASED SERVICES REVENUE - Co attributed higher segment profitability to increased services revenue in Solaris Power Solutions

  • GENERATION CAPACITY TRANSITION - Co said decrease in capacity earning revenue was due to planned release of temporary third-party generation as it transitions to owned capacity under long-term contracts


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$341.09 mln

$259.35 mln (7 Analysts)

Q3 Adjusted EPS

Beat

$0.45

$0.28 (7 Analysts)


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 15 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the oil related services and equipment peer group is "buy"

  • Wall Street's median 12-month price target for Solaris Energy Infrastructure, Inc. is $104.00, about 80.4% above its November 4 closing price of $57.64

  • The stock recently traded at 24 times the next 12-month earnings vs. a P/E of 27 three months ago


Reuters Recommended Reads

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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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