Sierra Bancorp Q2 net income falls on loan reserve, severance costs
Reuters2026/07/27 12:13
Overview
US regional bank's Q2 net income fell 7% yr/yr to $9.9 mln, EPS down slightly
Quarterly results impacted by $2.5 mln reserve on agricultural loan, $0.5 mln in severance costs
Company repurchased 396,429 shares during the first half of 2026
Outlook
Company expects net loan growth in the second half of 2026
Sierra Bancorp sees strengthened loan production momentum entering the third quarter of 2026
Result Drivers
CREDIT LOSS RESERVE - $2.5 mln specific reserve on an agricultural production loan drove higher credit loss expense in Q2
SEVERANCE AND RECRUITMENT COSTS - $0.5 mln in severance and recruitment charges related to executive restructuring increased noninterest expense
STABLE NET INTEREST INCOME - Net interest income remained stable as lower earning assets and yields were offset by reduced funding costs
Company press release: ID:nBw69kSwxa
Key Details
Metric |
Beat/Miss |
Actual |
Consensus Estimate |
Q2 EPS |
|
$0.77 |
|
Q2 Net Income |
|
$9.92 mln |
|
Q2 Net Interest Margin |
|
3.74% |
|
Analyst Coverage
The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 1 "strong buy" or "buy", 4 "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 Sierra Bancorp is $41.00, about 2.1% below its July 24 closing price of $41.88
The stock recently traded at 11 times the next 12-month earnings vs. a P/E of 9 three months ago
Reuters Recommended Reads
July 27 - First Farmers' Q2 profit rises on higher interest income, loan growth
July 24 - KS Bancorp Q2 net income rises on loan growth
July 24 - NorthEast Community Bancorp Q2 profit and margin fall as yield on interest-earning assets lowers
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.)
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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