Verisk Analytics Inc.: 10-K Risk Factor Changes

We depend upon data from external sources, including data received from customers and various government and public record services, for information used in our data repositories. In general, we do not own the information in these data repositories, and the participating organizations could discontinue or materially limit contributing information to the data repositories. Our data sources could withdraw or increase the price for their data for a variety of reasons, and we could also become subject to legislative, judicial, or contractual restrictions on the use of such data, in particular if such data is not collected by the third parties in a way that allows us to legally use and/or process the data. We are also reliant on internal controls of third parties to ensure the accuracy of their data. If a third party suffers reputational damage from an underlying issue, we may discontinue using their services. If a substantial number of data sources, or certain key sources, were to withdraw, materially limit, be unable to provide their data, or if we were to lose access to data due to government regulation or policy, decline in reputation or if the collection of data became uneconomical, our ability to provide solutions to our customers could be impacted, which could materially adversely affect our business, reputation, financial condition, operating results, and cash flows. Agreements with our data suppliers are short-term agreements. Some suppliers are also competitors, which may make us vulnerable to unpredictable price increases and may cause some suppliers not to renew certain agreements. Our competitors could also enter into exclusive contracts with our data sources. If our competitors enter into such exclusive contracts, we may be precluded from receiving certain data from these suppliers or restricted in our use of such data, which would give our competitors an advantage. Such a termination or exclusive contracts could have a material adverse effect on our business, financial position, and operating results if we were unable to arrange for substitute data sources.

We depend upon data from external sources, including data received from customers and various government and public record services, for information used in our data repositories. In general, we do not own the information in these data repositories, and the participating organizations could discontinue or materially limit contributing information to the data repositories. Our data sources could withdraw or increase the price for their data for a variety of reasons, and we could also become subject to legislative, judicial, or contractual restrictions on the use of such data, in particular if such data is not collected by the third parties in a way that allows us to legally use and/or process the data. We are also reliant on internal controls of third parties to ensure the accuracy of their data. If a third party suffers reputational damage from an underlying issue, we may discontinue using their services. If a substantial number of data sources, or certain key sources, were to withdraw, materially limit, be unable to provide their data, or if we were to lose access to data due to government regulation or policy, decline in reputation or if the collection of data became uneconomical, our ability to provide solutions to our customers could be impacted, which could materially adversely affect our business, reputation, financial condition, operating results, and cash flows. Agreements with our data suppliers are short-term agreements. Some suppliers are also competitors, which may make us vulnerable to unpredictable price increases and may cause some suppliers not to renew certain agreements. Our competitors could also enter into exclusive contracts with our data sources. If our competitors enter into such exclusive contracts, we may be precluded from receiving certain data from these suppliers or restricted in our use of such data, which would give our competitors an advantage. Such a termination or exclusive contracts could have a material adverse effect on our business, financial position, and operating results if we were unable to arrange for substitute data sources. We derive a substantial portion of our revenues from U.S. P&C primary insurers. If there is a downturn in the U.S. insurance industry or that industry does not continue to accept our solutions, our revenues will decline. Revenues derived from solutions we provide to U.S. P&C primary insurers account for a substantial portion of our total revenues. During the year ended December 31, 2024, approximately 70% of our revenue was derived from solutions provided to U.S. P&C primary insurers. Also, our invoices for certain of our solutions are linked in part to premiums in the U.S. P&C insurance market, which may rise or fall in any given year due to loss experience and capital capacity and other factors in the insurance industry such as responses to natural disasters and climate-related events that are beyond our control. In addition, our revenues will decline if the insurance industry does not continue to accept our solutions.

Increasing use of AI, including but not limited to generative AI models and agentic AI processes, in our internal systems may create new attack methods for adversaries and raise ethical, technological, legal, regulatory, and other challenges, which may negatively impact our brands and demand for our products and services. Our business policies and internal security controls may not keep pace with these changes as new threats emerge, or the emerging cybersecurity regulations in jurisdictions worldwide. Additionally, we are actively adding new AI features to our services. Because the AI landscape is developing and inherently risky, no assurance can be given that such strategies and offerings will be successful or will not harm our reputation, financial condition, and operating results. Product features that rely on AI may be susceptible to unanticipated security threats from sophisticated adversaries.

Increasing use of AI, including but not limited to generative AI models, in our internal systems may create new attack methods for adversaries and raise ethical, technological, legal, regulatory, and other challenges, which may negatively impact our brands and demand for our products and services. Our business policies and internal security controls may not keep pace with these changes as new threats emerge, or the emerging cybersecurity regulations in jurisdictions worldwide. Additionally, we are actively adding new generative AI features to our services. Because the generative AI landscape is developing and inherently risky, no assurance can be given that such strategies and offerings will be successful or will not harm our reputation, financial condition, and operating results. Product features that rely on generative AI may be susceptible to unanticipated security threats from sophisticated adversaries.

We typically face a long selling cycle to secure a new contract and there is generally a long preparation period in order to commence providing the services. We typically incur significant business development expenses during the selling cycle and we may not succeed in winning a new customer’s business, in which case we receive no revenues and may receive no reimbursement for such expenses. Even if we succeed in developing a relationship with a potential new customer, we may not be successful in obtaining contractual commitments after the selling cycle or in maintaining contractual commitments after the implementation cycle, which may have a material adverse effect on our business, results of operations and financial condition. 15 Table of Contents 15 15 15 Table of Contents Table of Contents Table of Contents We derive a substantial portion of our revenues from U.S. P&C primary insurers. If there is a downturn in the U.S. insurance industry or that industry does not continue to accept our solutions, our revenues will decline. Revenues derived from solutions we provide to U.S. P&C primary insurers account for a substantial portion of our total revenues. During the year ended December 31, 2025, approximately 70% of our revenue was derived from solutions provided to U.S. P&C primary insurers. Also, our invoices for certain of our solutions are linked in part to premiums in the U.S. P&C insurance market, which may rise or fall in any given year due to loss experience and capital capacity and other factors in the insurance industry such as responses to natural disasters and climate-related events that are beyond our control. In addition, our revenues will decline if the insurance industry does not continue to accept our solutions.

We typically face a long selling cycle to secure a new contract and there is generally a long preparation period in order to commence providing the services. We typically incur significant business development expenses during the selling cycle and we may not succeed in winning a new customer’s business, in which case we receive no revenues and may receive no reimbursement for such expenses. Even if we succeed in developing a relationship with a potential new customer, we may not be successful in obtaining contractual commitments after the selling cycle or in maintaining contractual commitments after the implementation cycle, which may have a material adverse effect on our business, results of operations and financial condition. 15 Table of Contents 15 15 15 Table of Contents Table of Contents Table of Contents

Many of our products rely on proprietary or copyrighted material which could be fed into AI models without our knowledge. Evolved AI-based ecosystems and workflow automation developed by our customers or generic datasets enhanced by AI could compete more effectively with our products or solutions. This could result in duplication of our products or solutions by AI tools and reduce the relevance or value proposition of such products or solutions.

For a subset of our products we rely on proprietary or copyrighted material which could be fed into generative AI large language models without our knowledge. This could result in duplication of our products or solutions by generative AI tools and reduce the relevance or value proposition of such products or solutions.