Zoetis

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 6 Aug 2026 and 5 later 8-Ks.

• It carries a lot of debt: 2.7× its equity.

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

• The conditional conversion feature of our convertible senior notes, if triggered, may adversely affect our financial condition and operating results.

  Could happen

  In the event the conditional conversion feature of the convertible senior notes is triggered, holders of convertible senior notes will be entitled to convert the convertible senior notes at any time during specified periods at their option. If one or more holders elect to convert their convertible senior notes, we would be required to settle any converted principal amount of such convertible senior notes through the payment of cash, which could adversely affect our liquidity. In addition, even if holders do not elect to convert their convertible senior notes, we would be required under applicable accounting rules to reclassify all or a portion of the outstanding principal of the convertible senior notes as a current rather than long-term liability, which would result in a material reduction of our net working capital.

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• Conversion of our convertible senior notes may dilute the ownership interest of our stockholders or may otherwise depress the price of our common stock.

  Could happen

  The conversion of some or all of the convertible senior notes may dilute the ownership interests of our stockholders. Upon conversion of the convertible senior notes, we have the option to pay or deliver, as the case may be, cash, shares of our common stock, or a combination of cash and shares of our common stock in respect of the remainder, if any, of our conversion obligation in excess of the aggregate principal amount of the convertible senior notes being converted. If we elect to settle the remainder, if any, of our conversion obligation in excess of the aggregate principal amount of the convertible senior notes being converted in shares of our common stock or a combination of cash and shares of our common stock, any sales in the public market of our common stock issuable upon such conversion could adversely affect prevailing market prices of our common stock. In addition, the existence of the convertible senior notes may encourage short selling by market participants because the conversion of the convertible senior notes could be used to satisfy short positions, or anticipated conversion of the convertible senior notes into shares of our common stock could depress the price of our common stock.

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• We use machine learning and AI in various business operations, and inability to successfully monitor and manage its use could result in operational, competitive or reputational harm, regulatory enforcement, and legal liability.

  Could happen

  We incorporate (and expect to continue incorporating) AI capabilities in the development of new technologies and products and continue to expand the use of AI in our business and operations. Generative AI technologies are new and rapidly evolving technologies that could deliver significant benefits, but also present a number of operational, compliance, ethical, and reputational risks. AI algorithms are currently known to sometimes generate, among other things, irrelevant, nonsensical, deficient, factually inaccurate, biased or infringing content and results. In addition, if the manners in which we deploy and use AI become controversial, we may experience reputational harm to our brand, competitive harm or legal liability. In addition, we are subject to a growing number of cybersecurity and AI safety laws in markets in which we operate. For example, some of our European operations are subject to NIS2 which imposes cybersecurity requirements on “essential entities.” The EU AI Act prohibits certain AI systems that are categorized as “High Risk,” and requires certain disclosures about the use of AI tools. In the United States, there are emerging state AI laws and regulations that may impose additional requirements and restrictions in connection with the use of AI systems, including their use for "high risk" or "consequential" decision making. These rapidly changing regulatory complexities may increase our compliance costs. Moreover, there is risk that confidential information, including material non-public information, trade secrets or personal identifiable information, is input into AI applications, resulting in such information becoming accessible by third parties, including our competitors.

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• We use machine learning and AI in various business operations, and inability to successfully monitor and manage its use could result in operational, competitive or reputational harm, regulatory enforcement, and legal liability.

  Could happen

  Our competitors may incorporate AI into their operations more quickly or effectively than we do or with more successful outcomes. Additionally, we may not be able to attract or retain the necessary talent to support our AI technology investment or maintain our systems, which may affect our ability to remain competitive. Disruption or failure of our AI systems, or those of various third parties on whom we rely on, could lead to delays and operational challenges, as well as compliance and reputational issues which could materially adversely affect our business, financial condition and results of operations.

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• We use machine learning and AI in various business operations, and inability to successfully monitor and manage its use could result in operational, competitive or reputational harm, regulatory enforcement, and legal liability.

  Could happen

  The use of AI tools in the development of new technologies and products presents significant IP challenges. Determining IP ownership for AI-generated content remains uncertain in some jurisdictions. Also, AI tools might also unintentionally access or use third party IP or generate output infringing, thereby heightening exposure to IP claims and disputes. Inventions or works of authorship created using AI may be based on or contain, materials that were used in the training of such AI technologies and are identical or similar to third-party intellectual property, which could further limit our ability to obtain intellectual property protection in such inventions or works of authorship.

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