PG&E Q3 operating revenue falls and misses estimates

By Reuters News


Overview

  • US utility's Q3 operating revenue declined yr/yr and missed analyst expectations

  • GAAP EPS for Q3 fell yr/yr

  • Company reaffirmed 2026 and 2027 non-GAAP core EPS guidance


Outlook

  • PG&E reaffirms 2026 non-GAAP core EPS guidance at $1.64-$1.66

  • Company maintains 2027 non-GAAP core EPS guidance at $1.78-$1.82

  • PG&E says it is on track to achieve 2-4% non-fuel O&M cost reductions


Result Drivers

  • LOWER RETURN ON EQUITY - Co said lower CPUC return on equity and higher Wildfire Fund expense weighed on Q3 earnings

  • O&M COST SAVINGS - Co said it is on track to achieve targeted reductions in non-fuel operating and maintenance costs

  • CUSTOMER CONNECTIONS - Co said increased electric customer and EV charging port connections supported operational progress


Company press release: Full Story


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Operating Revenue

Miss

$6.19 bln

$6.83 bln (5 Analysts)

Q3 EPS

$0.34


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 9 "strong buy" or "buy", 10 "hold" and no "sell" or "strong sell"

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

  • Wall Street's median 12-month price target for PG&E Corp is $17.00, about 29.3% above its October 21 closing price of $13.15

  • The stock recently traded at 7 times the next 12-month earnings vs. a P/E of 10 three months ago


Reuters Recommended Reads

  • Oct 21 - PG&E pegs San Francisco grid takeover cost at $22.5 billion, more than six times city's estimate

  • Oct 21 - NextEra Energy's Q3 operating revenue grows less than expected

  • Oct 21 - NextEra Energy tops quarterly profit estimates, says Dominion deal on track


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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