Sempra beats Q4 adjusted EPS estimates, affirms FY profit view

Reuters
02/26
Sempra beats Q4 adjusted EPS estimates, affirms FY profit view

Overview

  • Energy infrastructure firm's Q4 revenue missed analyst expectations

  • Adjusted EPS for Q4 beat analyst expectations

  • Company's adjusted net income for Q4 exceeded analyst estimates

Outlook

  • Sempra plans $65 bln capital expenditure from 2026 to 2030

  • Company targets 11% rate base CAGR and 95% regulated earnings mix

  • Sempra affirms 2026 EPS guidance range of $4.80 to $5.30

Result Drivers

  • CAPITAL INVESTMENTS - Sempra invested approximately $13 bln in 2025 to modernize energy infrastructure, focusing on Texas and California utilities

  • SIMPLIFICATION AND CAPITAL EFFICIENCY - Co took steps to simplify its business and improve capital efficiency, supporting future earnings growth

  • LNG STRATEGIC TRANSACTION - Sempra entered a strategic transaction to sell a 45% equity stake in Sempra Infrastructure Partners for $10 bln

Company press release: ID:nPn4rhZGNa

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Miss

$3.75 bln

$4.05 bln (8 Analysts)

Q4 Adjusted EPS

Beat

$1.28

$1.17 (12 Analysts)

Q4 EPS

$0.54

Q4 Adjusted Net Income

Beat

$841 mln

$780.92 mln (5 Analysts)

Q4 Net Income

$352 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 13 "strong buy" or "buy", 6 "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 Sempra is $101.00, about 6.9% above its February 25 closing price of $94.50

  • The stock recently traded at 19 times the next 12-month earnings vs. a P/E of 18 three months ago

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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