ZoomInfo Technologies

None of the warning signs we check for were found.

We look for five warning signs: doubt it can keep going, weak checks on its own accounts, a notice that its past accounts can't be relied on, a change of auditor, and one customer bringing in a big share of sales. We don't check lawsuits, investigations or debt yet.

We checked the auditor's report, internal controls, restatement notices, auditor changes and big customers in the 10-K filed 12 Feb 2026, plus the 10-Q filed 5 Aug 2026 and 5 later 8-Ks.

Cheap for a reason is the question the numbers cannot answer.

Whether the price already reflects the risks is what the deep dive is for.

• Our business could be negatively affected by changes in search engine algorithms, including search engine optimization (SEO), artificial intelligence optimization (AIO), and other traffic-generating arrangements and dynamics.

  Could happen

  In addition, in recent years, customer behavior and traffic acquisition dynamics have shifted, and may continue to shift, due to the increasing adoption of AI-powered search experiences and LLM models that provide responses without directing users to third-party websites, which could reduce click-through rates and materially diminish the value of traditional SEO strategies. If we are unable to ensure that our products and services, as well as our website and brand, continue to be visible and utilized by AI-powered search experiences and LLM models, or if we are unable to address and capitalize on online traffic dynamics resulting from AIO strategies, we may experience reduced inbound lead volume, higher customer acquisition costs, and greater reliance on more expensive marketing channels that may be less efficient or scalable. Any sustained decline in inbound demand could adversely affect our pipeline, customer acquisition costs, and revenue growth.

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• We experience competition from other companies and technologies that allow businesses to gather and aggregate sales, marketing, recruiting, and other data, and we may in the future face competition from prominent large-language-model (LLM) providers and generative AI companies, and any of their competing products and services could provide greater appeal to our customers.

  Could happen

  In addition, the rapid advancement and widespread adoption of LLMs and generative AI technologies could result in new competitors in our industry. Prominent LLM providers and other leading generative AI companies, are developing increasingly sophisticated AI capabilities, and such technologies may incorporate business contact information, company intelligence and market insights directly into their models or make such data readily accessible through AI-enabled tools at substantially lower costs than our products and services, or even at no incremental cost to their end users. These LLM providers may aggregate and synthesize publicly available data sources, licensed datasets, or user-contributed information to generate business intelligence that overlaps with or competes directly with our products and services. As LLM capabilities improve, the quality, accuracy, and comprehensiveness of the business data they provide may approach or match levels that customers find acceptable for their go-to-market activities.

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• Other technology companies, including various small and medium-sized businesses who focus on B2B sales and marketing intelligence, have become, and larger and better-funded companies with significant resources may shift their existing business models to become, more competitive with us.

  Could happen

  In addition, existing and potential competitors in our industry may be able to offer more flexible pricing models that better align with the actual usage and realized value obtained by customers, including pay-as-you-go models or other bespoke pricing packages, that may be more desirable for small and mid-market customers who are more likely to be affected by budget constraints. Further, as AI-powered agents become more sophisticated, individual users may become substantially more productive, enabling customers to achieve similar outcomes with fewer seats accessing our platform. This AI-driven seat compression could result in customers reducing seat counts at renewal, negatively impacting our revenue even as they derive equal or greater value from our products and services.

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• Changes in laws, regulations, and public perception concerning data privacy, or changes in the patterns of enforcement of existing laws and regulations, could impact our ability to efficiently gather, process, update, and/or provide some or all of the information we currently provide or the ability of our customers and users to use some or all of our products or services.

  Could happen

  Table of Content s Domestically, as members of the Republican Party now control both the White House and Congress, the national landscape has shifted. It is unclear whether members of Congress will have enough votes to pass a Federal privacy law and while AI remains a major topic of discussion in Congress, members of the Republican Party and the White House have indicated a pivot from comprehensive regulations in favor of fewer restrictions. In particular, on December 11, 2025, the Administration signed Executive Order 14365, “Ensuring a National Policy Framework for Artificial Intelligence”, that seeks to limit the ability of states to regulate AI under their existing legal frameworks, and to deter them from passing new AI laws. Pursuant to the Executive Order, the Administration has stated that it will seek to establish an AI Litigation Task Force which will be responsible for challenging any state-level AI laws inconsistent with the policy set forth in Executive Order. Nevertheless, at Federal agencies, it remains unclear as to what the current Administration’s enforcement priorities will be and how the push to move away from additional regulations will be reflected at each relevant agency, including the extent to which agencies emphasize established statutory authorities (e.g., children’s privacy and data security) versus broader theories. As a result, certain states will continue to pursue both AI and privacy legislation. As of December 31, 2025, twenty states have implemented comprehensive privacy laws, and recently, additional states have pending legislation for both AI and privacy.

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• Our business could be negatively affected by changes in search engine algorithms, including search engine optimization (SEO), artificial intelligence optimization (AIO), and other traffic-generating arrangements and dynamics.

  Could happen

  If a major search engine or LLM model changes its algorithms or results in a manner that negatively affects our website’s search engine ranking or AIO placement, respectively, or if competitive dynamics impact the costs or effectiveness of SEO and/or AIO, marketing efforts relating to SEO and/or AIO strategies, or other traffic-generating arrangements in a negative manner, our business and financial performance would be adversely affected.

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