Energy infrastructure firm Sempra beats Q3 revenue estimates

Sempra

05/11/2025 13:03

Overview

Sempra Q3 revenue beats estimates, reaching $3.15 bln

Adjusted EPS for Q3 beats consensus at $1.11

Company reports Q3 adjusted net income of $728 mln, surpassing expectations

Sempra announces 45% equity sale in Sempra Infrastructure Partners

Outlook

Sempra updates 2025 GAAP EPS guidance to $3.05-$3.45

Company affirms 2025 adjusted EPS guidance of $4.30-$4.70

Oncor expects 30%+ increase in 2026-2030 capital plan

Result Drivers

EQUITY SALE - Sempra announced a strategic transaction to sell a 45% equity interest in Sempra Infrastructure Partners to affiliates of KKR, supporting value creation initiatives and capital funding

ONCOR INVESTMENTS - Oncor is advancing critical transmission and distribution infrastructure projects in Texas, expecting a 30%+ increase in its capital plan, driven by population and business growth

LNG EXPANSION - Sempra Infrastructure reached a final investment decision to advance Port Arthur LNG Phase 2, part of six major projects enhancing LNG operations

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q3 Revenue
Beat
$3.15 bln
$2.91 bln (6 Analysts)
Q3 Adjusted EPS
Beat
$1.11
$0.91 (11 Analysts)
Q3 EPS
$0.12
Q3 Adjusted Net Income
Beat
$728 mln
$608.43 mln (4 Analysts)
Q3 Net Income
$77 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 10 "strong buy" or "buy", 7 "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 $99.00, about 6.6% above its November 4 closing price of $92.48

The stock recently traded at 19 times the next 12-month earnings vs. a P/E of 17 three months ago

Press Release: ID:nPn4nqrkga

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@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.)