Chemung Financial Q3 net income beats, helped by commercial loan growth

By Reuters News


Overview

  • U.S. regional bank's Q3 net income rose yr/yr, beating analyst expectations

  • Net interest income for Q3 increased 13% from a year earlier

  • Company raised quarterly dividend by 5.9% in Q3


Outlook

  • Company expects residential mortgage origination to remain pressured by rates and housing market conditions

  • Company to begin rebranding as Canal Bank & Trust in Q4, rollout to continue in 2027


Result Drivers

  • COMMERCIAL LOAN GROWTH - Co said higher average balances of commercial loans, especially in commercial real estate, drove net interest income growth

  • HIGHER LOAN YIELDS - Net interest income benefited from new commercial loans at higher rates and interest rate resets

  • CREDIT LOSS RECOVERY - Q3 provision for credit losses was a net benefit due to a $2.9 mln recovery from a legal settlement


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Net Income

Beat

$12.71 mln

$9.46 mln (5 Analysts)

Q3 Net Interest Income

$25.67 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "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 Chemung Financial Corp is $88.00, about 7.8% above its October 21 closing price of $81.65

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


Reuters Recommended Reads

  • Oct 20 - KeyCorp Q3 revenue rises 8% to record, profit up 24%

  • Oct 19 - Zions Bancorp Q3 EPS rises 20% on improved credit quality

  • Oct 22 - Huntington Bancshares Q3 EPS unchanged, net interest income up


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.)

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