Wintrust Financial Q3 net revenue beats expectations on strong loan, deposit growth

Reuters
2025/10/21
Wintrust Financial Q3 net revenue beats expectations on strong loan, deposit growth

Overview

  • Wintrust Financial Corp Q3 net revenue beats analyst expectations, driven by strong loan and deposit growth

  • EPS for Q3 2025 beats analyst expectations, despite one-time preferred stock impact

  • Company reports improved credit quality with lower non-performing loans in Q3 2025

Outlook

  • Wintrust expects loan growth in mid-to-high single digits for remainder of 2025

  • Company anticipates net interest income expansion in fourth quarter

  • Wintrust remains committed to high credit quality through disciplined management

Result Drivers

  • LOAN AND DEPOSIT GROWTH - Strong loan and deposit growth contributed to record net interest income in Q3 2025

  • ASSET GROWTH - Average earning asset growth drove a $20.3 mln increase in net interest income

  • CREDIT QUALITY IMPROVEMENT - Improved credit quality with lower non-performing loans and disciplined credit management

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$697.83 mln

$689.63 mln (12 Analysts)

Q3 Adjusted EPS

$3.06

Q3 EPS

Beat

$2.78

$2.67 (13 Analysts)

Q3 Net Interest Income

$567.01 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 12 "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 Wintrust Financial Corp is $156.50, about 21.6% above its October 17 closing price of $122.74

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

Press Release: ID:nGNXb3YXtR

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@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.)

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