SIMMONS FIRST NATIONAL CORP
For the period ended Sep 30, 2026. Filed Nov 4, 2026.
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A company's report for each of its first three quarters. The financial statements are not audited. It shows how the business has moved since the last annual report, and what management says changed.
Sep 30, 2026 · Filed Nov 4, 2026
What changed in Risk Factors?
Read the current filingPrevious report: 10-Q
Period ended 2026-06-30; filed 2026-08-05.
0001628280-26-053273
Item 1A. Risk FactorsCurrent report: 10-Q
Period ended 2026-09-30; filed 2026-11-04.
0001628280-26-070069
Item 1A. Risk FactorsThe baseline is this issuer’s latest earlier reporting period of the same form that was filed before the current report. A previous 10-Q is a different quarter, not a year-over-year comparison. Amendments are excluded.
Compared 10 previous paragraphs and 10 current paragraphs.
9 unchanged; 1 reworded; 0 added; 0 removed; 0 previous and 0 current paragraphs rearranged.
Tables are not compared: 0 previous and 0 current tables excluded. Dates, whitespace, punctuation and numbering changes are ignored; changes to financial figures remain significant.
A changed paragraph is not evidence that risk increased or decreased. An unchanged paragraph does not establish that risk stayed the same.
Reworded paragraphs (1)
Previous wording
Recently, the financial services industry has experienced rapid developments in artificial intelligence, including agentic artificial intelligence. The use of artificial intelligence models developed by third parties introduces risks related to how those models are developed, trained, and deployed, including unauthorized material in training data and limited visibility into risk mitigation steps. The legal and regulatory environment for artificial intelligence is uncertain and rapidly involving, potentially increasing compliance costs and risks of noncompliance. We may be exposed to the risk that generative artificial intelligence models may produce incorrect outputs, release confidential information, reflect biases, or otherwise cause harm. Their complexity may make it challenging to understand all outputs and comply with documentation or explanation requirements. Further, regulators have warned financial institutions of an increased risk of cyber attacks with the use of artificial intelligence. Any of these risk could adversely affect our business, expose us to liability or other adverse legal or regulatory consequences, or otherwise adversely affect our financial results.
Current wording
Recently, the financial services industry has experienced rapid developments in artificial intelligence, including agentic artificial intelligence. The use of artificial intelligence models developed by third parties introduces risks related to how those models are developed, trained, and deployed, including unauthorized material in training data and limited visibility into risk mitigation steps. The legal and regulatory environment for artificial intelligence is uncertain and rapidly involving, potentially increasing compliance costs and risks of noncompliance. We may be exposed to the risk that generative artificial intelligence models may produce incorrect outputs, release confidential information, reflect biases, or otherwise cause harm. Their complexity may make it challenging to understand all outputs and comply with documentation or explanation requirements. Further, regulators have warned financial institutions of an increased risk of cyber attacks with the use of artificial intelligence. Any of these risks could adversely affect our business, expose us to liability or other adverse legal or regulatory consequences, or otherwise adversely affect our financial results.