M&T Bank Q2 net interest income slightly beats on loan growth

M&T Bank

15/07/2026 10:41

Overview
US regional bank's Q2 adjusted EPS beat analyst expectations
Q2 net interest income slightly beat analyst expectations
Company repurchased $465 mln in shares during the quarter

Outlook
Company did not provide specific guidance for the current quarter or full year in the press release 

Result Drivers
LOAN GROWTH - Co said net interest income rose due to broad-based loan growth across commercial, residential, and consumer categories
NONINTEREST INCOME - Co attributed higher noninterest income to a larger distribution from its investment in Bayview Lending Group, increased trust income, and higher revenues from interest rate swap agreements for commercial customers
LOWER NONINTEREST EXPENSE - Co said noninterest expense declined from the prior quarter mainly due to seasonal salaries and employee benefits expense recognized in Q1

Company press release: ID:nPn2ftcj0a

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Adjusted EPS
Beat
$5.35
$4.66 (18 Analysts)
Q2 EPS
 
$5.32
 
Q2 Net Income
 
$818 mln
 
Q2 Net Interest Income
Slight Beat*
$1.79 bln
$1.78 bln (9 Analysts)
Q2 CET1 Capital Ratio
 
10.19%
 
Q2 Net Interest Margin
 
3.70%
 
Q2 Provision for Credit Loss
 
$120 mln
 
*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 6 "strong buy" or "buy", 13 "hold" and 1 "sell" or "strong sell"
The average consensus recommendation for the banks peer group is "buy."
Wall Street's median 12-month price target for M&T Bank Corp is $242.00, about 0.1% below its July 14 closing price of $241.85
The stock recently traded at 12 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.)