Personal lines insurer Allstate's Q3 revenue beats estimates

Reuters
Nov 06, 2025
Personal lines insurer Allstate's Q3 revenue beats estimates

Overview

  • Allstate Q3 revenue rises 3.8% to $17.3 bln, beating analyst expectations

  • Adjusted EPS for Q3 at $11.17, surpassing consensus estimates

  • Net income for Q3 at $3.7 bln, driven by strong operating performance

Outlook

  • Allstate expects continued growth in Property-Liability market share

  • Company plans to deploy AI to reduce costs and enhance customer value

  • Allstate aims to expand Protection Plans internationally

Result Drivers

  • PROPERTY-LIABILITY GROWTH - Increased market share in non-standard auto and homeowners insurance, supported by new products and expanded distribution

  • PROTECTION PLANS EXPANSION - International growth in Protection Plans with a 14.8% revenue increase over the prior year

  • LOWER CATASTROPHE LOSSES - Reduced catastrophe losses contributed to improved combined ratios and underwriting income

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$17.26 bln

$15.66 bln (6 Analysts)

Q3 Adjusted EPS

Beat

$11.17

$7.54 (20 Analysts)

Q3 Adjusted Net Income

Beat

$2.98 bln

$1.93 bln (15 Analysts)

Q3 Net Income

$3.72 bln

Q3 Adjusted Combined Ratio

78.70%

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 17 "strong buy" or "buy", 5 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the property & casualty insurance peer group is "buy"

  • Wall Street's median 12-month price target for Allstate Corp is $237.00, about 17.8% above its November 5 closing price of $194.75

  • The stock recently traded at 8 times the next 12-month earnings vs. a P/E of 10 three months ago

Press Release: ID:nBw5mgbDa

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.)

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