Plumas Bancorp's Q3 EPS beats estimates on higher loan yields

By Reuters News


Overview

  • US community bank's Q3 net income and EPS more than doubled yr/yr

  • Q3 diluted EPS beat analyst expectations

  • Net interest income rose, driven by higher loan yields and lower credit loss provision


Outlook

  • Company expects continued loan repricing to help maintain net interest margin

  • Management believes available sources of funds will provide adequate liquidity in the near future


Result Drivers

  • LOAN YIELDS AND REPRICING - Co said higher loan yields and continued repricing of commercial real estate loans supported profitability and net interest margin

  • TAX CREDITS - Co said purchase of green energy tax credits reduced income tax expense, supporting profitability

  • LOWER CREDIT LOSS PROVISION - Co said reduced provision for credit losses contributed to earnings growth


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 EPS

Beat

$1.61

$1.46 (3 Analysts)

Q3 Net Interest Margin

5.05%


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", no "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 Plumas Bancorp is $68.00, about 8.7% above its October 20 closing price of $62.53

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

  • Oct 19 - Western Alliance Bancorp Q3 revenue slightly beats estimates, profit rises on wider interest margin

  • Oct 19 - Fifth Third Bancorp Q3 net interest income jumps on Comerica acquisition


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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