Valley National Bancorp Q4 revenue and EPS beat estimates

Valley National Bancorp

29/01/2026 12:10

Overview

Regional bank's Q4 revenue and adjusted EPS beat analyst expectations

Net income for Q4 increased significantly from the previous year

Company's strategic focus on deposit growth and loan origination drove results

Outlook

Company anticipates thoughtful balance sheet growth and core profitability improvement in 2026

Valley National Bancorp focuses on investments in talent, technology, and branding for growth

Company aims to enhance client experience to drive superior performance

Result Drivers

NET INTEREST INCOME - Increase due to strong non-interest deposit growth and shift towards higher-yielding loans, improving net interest margin

LOAN PORTFOLIO GROWTH - Total loans increased driven by commercial real estate and industrial loans, supported by new originations and owner-occupied loans

NON-INTEREST INCOME - Increase driven by growth in capital markets, wealth management, and trust fees

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q4 Revenue
Beat
$541.25 mln
$524.65 mln (12 Analysts)
Q4 Adjusted EPS
Beat
$0.31
$0.29 (14 Analysts)
Q4 EPS
$0.33
Q4 Adjusted Net Income
Beat
$180.20 mln
$162.26 mln (13 Analysts)
Q4 Net Income
$195.40 mln
Q4 Provision For Credit losses
$20.14 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 12 "strong buy" or "buy", 3 "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 Valley National Bancorp is $13.75, about 12.1% above its January 28 closing price of $12.27

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

Press Release: ID:nGNX8qQcGj

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.)