Farmers & Merchants Bancorp prelim Q3 net income jumps 30% on higher net interest income

By Reuters News


Overview

  • Community bank's preliminary Q3 net income rose 30% yr/yr, with EPS up to $0.84

  • Company reported higher net interest margin and improved efficiency ratio for the quarter

  • Company raised regular dividend and declared special dividend for Q3


Outlook

  • Company expects to sustain positive momentum through the rest of 2026 and into 2027

  • Company expects a favorable backdrop for interest income growth in coming quarters and years


Result Drivers

  • NET INTEREST MARGIN - Co said expanded net interest margin contributed to profitability

  • OPERATING EFFICIENCY - Co said improved efficiency ratio reflected better control of operating expenses

  • LOAN GROWTH - Co attributed loan growth to increases in agricultural, commercial and industrial, and consumer real estate loans


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 EPS

$0.84

Q3 Net Income

$11.54 mln

Q3 Pretax Profit

$14.21 mln

Q3 Basic EPS

$0.84


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is no "strong buy" or "buy", 3 "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 Farmers & Merchants Bancorp Inc is $36.00, about 2.3% above its October 21 closing price of $35.20

  • The stock recently traded at 11 times the next 12-month earnings vs. a P/E of 10 three months ago


Reuters Recommended Reads

  • Oct 22 - Farmers and Merchants Bank Maryland Q3 net income rises

  • Oct 22 - United Bankshares Q3 EPS beats estimates, helped by loan growth

  • Oct 21 - Community Trust Bancorp's Q3 net interest income rises nearly 10%


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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