Hancock Whitney Q1 EPS drops on pre-tax charges

Hancock Whitney

21/04/2026 21:19

Overview

US regional bank's Q1 EPS fell sharply due to $98.6 mln securities portfolio restructure charge

Adjusted EPS excluding the charge would have risen slightly quarter-over-quarter

Company repurchased 1.4 mln shares and raised dividend by 11% in Q1

Outlook

Hancock Whitney expects 2026 year-over-year mid-single digit end of period loan growth

Company expects 2026 period-end deposits to be up low-single digits from Dec 31, 2025 levels

Company says it is focused on continued organic growth and proactive capital management in 2026

Result Drivers

SECURITIES PORTFOLIO RESTRUCTURING - Q1 results included a $98.6 mln pretax loss from restructuring the securities portfolio, which the company said drove reported EPS lower

NET INTEREST MARGIN - NIM rose 7 bps to 3.55%, mainly due to the bond portfolio restructuring and lower funding costs, offsetting lower loan yields

MODEST LOAN GROWTH - Loan balances increased less than 1% from the prior quarter, driven by commercial real estate and equipment finance

Company press release: ID:nBwrST2Qa

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 EPS
$0.57
Q1 Net Income
$47.42 mln
Q1 Net Interest Income
$285.17 mln
Q1 CET1 Capital Ratio
13.30%
Q1 Credit Loss Allowance
$13.17 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell"

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

Wall Street's median 12-month price target for Hancock Whitney Corp is $78.00, about 12.5% above its April 20 closing price of $69.35

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