CenterPoint Energy Q3 adjusted EPS beats estimates, raises 2026 outlook

By Reuters News


Overview

  • U.S. utility's Q3 adjusted EPS beat analyst expectations

  • Q3 results driven by growth and rate recovery, offset by higher financing expenses

  • Company raised 2026 non-GAAP EPS guidance and expanded capital investment plan


Outlook

  • CenterPoint raises 2026 non-GAAP EPS guidance to $1.90-$1.92

  • Company initiates 2027 non-GAAP EPS guidance at $2.07-$2.09

  • CenterPoint expects non-GAAP EPS growth at mid-to-high end of 7%-9% range through 2030


Result Drivers

  • GROWTH AND RATE RECOVERY - Co said Q3 results were mainly driven by growth and rate recovery

  • WEATHER AND USAGE - Favorable weather and higher usage contributed to Q3 results

  • HIGHER FINANCING EXPENSES - Increased financing expenses from new debt and equity dilution offset some gains


Company press release: Full Story


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Adjusted EPS

Beat

$0.53

$0.49 (12 Analysts)

Q3 EPS

$0.50

Q3 Net Income

$331 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 11 "strong buy" or "buy", 11 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the multiline utilities peer group is "buy"

  • Wall Street's median 12-month price target for CenterPoint Energy, Inc. is $44.00, about 6.8% above its October 26 closing price of $41.20

  • The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 22 three months ago


Reuters Recommended Reads

  • Oct 26 - Hartford Insurance Q3 core EPS beats estimates; dividend raised

  • Oct 26 - Welltower Q3 normalized FFO per share rises 25%, guidance raised

  • Oct 26 - Public Storage Q3 Core FFO company lifts 2026 outlook as portfolio expands


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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