Enterprise Financial Q1 adjusted EPS slightly beats estimates

Enterprise Financial Services

22/04/2026 21:29

Corrects Q1 dividend in Key Details table to $0.33 from $0.34

Overview

U.S. regional bank's Q1 adjusted EPS beat analyst expectations

Net income and net interest income declined from prior quarter, citing lower rates and fewer days in the period

Company raised quarterly dividend and repurchased 483,000 shares

Outlook

Company did not provide specific financial guidance for the current or upcoming periods

Result Drivers

LOWER RATES & FEWER DAYS - Net interest income declined from the prior quarter due to lower short-term interest rates that decreased asset yields, and fewer days in the period

SEASONAL NONINTEREST INCOME - Noninterest income fell from the linked quarter due to the absence of a gain on OREO and lower seasonal tax credit income, partly offset by gains from SBA loan sales

HIGHER COMPENSATION COSTS - Noninterest expense increased from the prior quarter, mainly due to higher employee compensation costs related to payroll tax resets and merit increases

Company press release: ID:nBw5BBbG7a

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Adjusted EPS
Beat
$1.31
$1.30 (4 Analysts)
Q1 Net Income
$49.40 mln
Q1 Net Interest Income
$166.10 mln
Q1 Dividend
$0.33
Q1 Net Interest Margin
4.28%


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 1 "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 Enterprise Financial Services Corp is $66.50, about 15.6% above its April 21 closing price of $57.53

The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 10 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.)