GBank Financial Q1 net revenue falls 5% on fraud losses

GBank Financial Holdings

29/04/2026 21:23

Overview

US regional bank's Q1 net revenue fell 5% from prior qtr, impacted by credit card fraud losses

Adjusted EPS for Q1 was $0.31, excluding $0.22 per share in credit card fraud losses

Company's total loans exceeded $1 bln, driven by strong commercial and SBA loan originations

Outlook

Company expects strong gain on loan sales revenues in Q2 2026

Company plans to launch new prepaid and VISA debit cards for gamers in Q3 2026

GBank aims to replace higher-cost deposits with non-interest-bearing deposits from gaming and payments flows by year end

Result Drivers

CREDIT CARD FRAUD LOSSES - Co said Q1 results were impacted by $3.2 mln after-tax losses from credit card fraud, mainly linked to bot-driven activity in legacy systems

NET INTEREST MARGIN PRESSURE - Net interest income and margin declined due to Federal Reserve rate cuts and slower reductions in funding costs, leading to margin compression

LOAN GROWTH - Significant loan growth, especially in commercial and SBA lending, drove total loans above $1 bln and is expected to support future margin expansion

Company press release: ID:nGNX65hJgJ

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 EPS
$0.09
Q1 Net Income
$1.30 mln
Q1 Net Interest Income
$12.20 mln
Q1 Net Interest Margin
3.86%


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "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 GBank Financial Holdings Inc is $43.75, about 53.1% above its April 28 closing price of $28.58

The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 13 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.)