Capitol Federal Q1 net income rises on commercial loan growth

Reuters
01/28
Capitol Federal Q1 net income rises on commercial loan growth

Overview

  • U.S. bank's preliminary Q1 net income rose to $20.3 mln, driven by higher interest income

  • Commercial loan portfolio grew by $162.6 mln during the quarter

  • Company repurchased 2.38 mln shares at an average price of $6.86

Outlook

  • Capitol Federal Financial expects commercial loan growth of approximately 18% for fiscal year 2026

  • Company plans to introduce digital onboarding for small business customers in Q2 fiscal year 2026

  • Capitol Federal Financial intends to maintain regular quarterly cash dividend of $0.085 per share

Result Drivers

  • COMMERCIAL LOAN GROWTH - Co's commercial loan portfolio grew by $162.6 mln, driven by redeploying funds from correspondent loans

  • TECHNOLOGY INVESTMENTS - Investments in technology enabled launch of new services and products, enhancing commercial banking capabilities

  • SHAREHOLDER RETURNS - Co enhanced stockholder value through $16.3 mln in share repurchases and dividend payments

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 EPS

$0.16

Q1 Net Income

$20.30 mln

Q1 Basic EPS

$0.16

Q1 Credit Loss Provision

-$1.10 mln

Q1 Dividend

$0.04

Q1 Net Interest Margin

2.19%

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is no "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 Capitol Federal Financial Inc is $7.00, about 0.9% above its January 27 closing price of $6.94

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

Press Release: ID:nBw2y5383a

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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