Regions Financial Q4 adjusted revenue slightly misses estimates

Reuters
Jan 16
Regions Financial Q4 adjusted revenue slightly misses estimates

Overview

  • Banking provider's Q4 adjusted revenue slightly missed analyst expectations

  • Adjusted EPS for Q4 reported at $0.57

  • Company achieved record results in Wealth Management and Treasury Management income

Outlook

  • Regions sees improving economic trends supporting solid performance in 2026

  • Regions Financial expects effective tax rate to return to 20.5%-21.5% in 2026

Result Drivers

  • WEALTH MANAGEMENT - Record results in Wealth Management income driven by elevated sales activity and favorable market conditions

  • TREASURY MANAGEMENT - Treasury Management income reached new annual records, contributing to overall revenue growth

  • HEDGING PROGRAM - Hedging program supported a top-quartile net interest margin of 3.70%

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Adjusted Revenue

Slight Miss*

$1.92 bln

$1.93 bln (18 Analysts)

Q4 Adjusted EPS

$0.57

Q4 EPS

$0.58

Q4 Net Income

$534 mln

Q4 Net Interest Income

Slight Miss*

$1.28 bln

$1.29 bln (13 Analysts)

Q4 Credit Loss Provision

$115 mln

Q4 Net Interest Margin

3.70%

*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 "hold" and the breakdown of recommendations is 10 "strong buy" or "buy", 12 "hold" and 2 "sell" or "strong sell"

  • The average consensus recommendation for the banks peer group is "buy."

  • Wall Street's median 12-month price target for Regions Financial Corp is $30.00, about 5.2% above its January 15 closing price of $28.52

  • The stock recently traded at 11 times the next 12-month earnings vs. a P/E of 11 three months ago

Press Release: ID:nBw8lWfNba

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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