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NorthWestern Q1 revenue slightly misses estimates

Overview

U.S. utility's Q1 revenue slightly missed analyst expectations, adjusted EPS beat consensus

GAAP EPS fell yr/yr due to higher costs, while adjusted EPS rose

Company affirms 2026 earnings guidance and reports progress on Black Hills merger

Outlook

NorthWestern affirms 2026 non-GAAP EPS guidance of $3.68 to $3.83 per diluted share

Company maintains long-term EPS and rate base growth guidance of 4% to 6%

NorthWestern expects to close merger with Black Hills in second half of 2026

Result Drivers

HIGHER OPERATING COSTS - Increased operating, administrative, and merger-related costs, as well as expenses tied to new Colstrip ownership, weighed on results

NEW RATES AND TRANSMISSION REVENUE - Higher base rates and increased transmission revenues partially offset cost pressures

LOWER RETAIL VOLUMES - Declines in electric and natural gas retail volumes due to unfavorable weather impacted revenue

Company press release: ID:nBw3F6lhxa

Key Details

MetricBeat/MissActualConsensus Estimate
Q1 RevenueSlight Miss*$497.60 mln$502.08 mln (3 Analysts)
Q1 Adjusted EPSBeat$1.31$1.25 (7 Analysts)
Q1 EPS$1.03
Q1 Net Income$63.50 mln
Q1 Operating Expenses$383.50 mln
Q1 Operating Income$114.10 mln
Q1 Pretax Profit$77.30 mln
*Applies to a deviation of less than 1%; not applicable for per-share numbers. Analyst Coverage The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 3 "hold" and 1 "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 NorthWestern Energy Group Inc is $70.00, about 1.9% below its April 29 closing price of $71.34 The stock recently traded at 19 times the next 12-month earnings vs. a P/E of 17 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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