Moody's reported a strong Q1 with 8% revenue growth in both MIS and MA, adjusted diluted EPS of $4.33, and raised full-year buyback guidance to $2.5B. Management highlighted structural demand from AI infrastructure, private credit, and digital assets, while cautioning that geopolitical volatility could delay but not derail issuance. Several new AI-distribution partnerships with OpenAI, Anthropic, AWS, and Microsoft were announced to embed Moody's data into enterprise workflows. Moody's Q1 adjusted EPS $4.33 beat? Not stated vs consensus; 13% y/y growth.
Moody's reported a strong Q1 with 8% revenue growth in both MIS and MA, adjusted diluted EPS of $4.33, and raised full-year buyback guidance to $2.5B. Management highlighted structural demand from AI infrastructure, private credit, and digital assets, while cautioning that geopolitical volatility could delay but not derail issuance. Several new AI-distribution partnerships with OpenAI, Anthropic, AWS, and Microsoft were announced to embed Moody's data into enterprise workflows. Moody's Q1 adjusted EPS $4.33 beat? Not stated vs consensus; 13% y/y growth.
Management expressed confidence in sustained growth, highlighted record issuance and strong strategic wins, and maintained full-year guidance despite acknowledged geopolitical volatility.
Record Q1 issuance surpassed $2 trillion, driven by AI-infrastructure and jumbo financings.. Management expressed confidence in sustained growth, highlighted record issuance and strong strategic wins, and maintained full-year guidance despite acknowledged geopolitical volatility.
Management emphasized AI as a core growth driver, with AI-driven infrastructure fueling record issuance and partnerships to embed AI-enabled workflows via MCP integrations with ChatGPT Enterprise, Anthropic, and Microsoft Copilot. They noted early but strong engagement, with…
Private credit-related ratings revenue grew 80% y/y as demand for independent credit assessment rises amid market stress.
Management emphasized AI as a core growth driver, with AI-driven infrastructure fueling record issuance and partnerships to embed AI-enabled workflows via MCP integrations with ChatGPT Enterprise, Anthropic, and Microsoft Copilot. They noted early but strong engagement, with plans to monetize through expanded licenses and enterprise adoption, while maintaining control and auditability.
Record Q1 issuance surpassed $2 trillion, driven by AI-infrastructure and jumbo financings.. Management expressed confidence in sustained growth, highlighted record issuance and strong strategic wins, and maintained full-year guidance despite acknowledged geopolitical volatility.
No specific capex discussion, but management highlighted ongoing investments in technology and AI efficiency initiatives, with cost containment enabling margin expansion and resource reallocation to fund priorities without increasing overall costs.
Management expressed confidence in sustained growth, highlighted record issuance and strong strategic wins, and maintained full-year guidance despite acknowledged geopolitical volatility.
“Issuance from the top five hyperscalers year-to-date has already exceeded full-year 2025 levels.”
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| EPS | FY2026 Q2 | $4.15–$4.30 | $4.22 | GUIDED |
| Issued | Metric | Target | Guide | Actual | Outcome |
|---|---|---|---|---|---|
| FY2025 Q3 | EPS | FY2025 | $14.50–$14.75 | $14.94 | Met / beat |
| FY2025 Q3 | Op margin | FY2025 | 51% | 51.1% | Met / beat |
| FY2025 Q3 | Op margin | FY2025 | 33% | 33.1% | Met / beat |
| FY2025 Q3 | Op margin | FY2025 | 63%–64% | 63.6% | Met / beat |
Moody's integrates its agentic solutions natively into Anthropic's cloud, giving Anthropic a differentiated enterprise credit risk workflow and expanding its platform's value for regulated users.
“With Anthropic, for licensed users, our agentic credit and compliance workflows are now available natively inside the cloud interface through something called an MCP application.”
… of partnerships that significantly extend our distribution without compromising governance or independence. And through model context protocol integrations, Moody's licensed intelligence can now be accessed directly within enterprise AI environments, such as ChatGPT Enterprise and Cloud. And this allows customers to bring trusted Moody's content into their own AI workflows rather than relying on generic or unverified data. With Anthropic, for licensed users, our agentic credit and compliance workflows are now available natively inside the cloud interface through something called an MCP application. And that's the first of its kind as far as we're aware. And it enables users to access Moody's agents to perform analysis, generate outputs, and trace sources without leaving the cloud environment. And by making our agentic solutions available through the AWS marketplace, We're meeting customers inside their existing cloud and procurement ecosystems, reducing friction by allowing customers to burn down their AWS commit when consuming Moody's agents and intelligence. And Moody's is scaling workflow embedded distribution by launching a dedicated Moody's agent in Microsoft 365 Copilot …
Moody's decision-grade data becomes accessible inside OpenAI's enterprise offering, making ChatGPT more useful for financial workflows and deepening OpenAI's enterprise stickiness.
“Through model context protocol integrations, Moody's licensed intelligence can now be accessed directly within enterprise AI environments, such as ChatGPT Enterprise and Cloud.”
… our intelligence into mission-critical workflows, particularly lending, underwriting, and compliance, where accuracy and auditability and trust are essential. And to support that shift, we're expanding how and where customers access Moody's Intelligence. In fact, over the last several weeks, we announced a set of partnerships that significantly extend our distribution without compromising governance or independence. And through model context protocol integrations, Moody's licensed intelligence can now be accessed directly within enterprise AI environments, such as ChatGPT Enterprise and Cloud. And this allows customers to bring trusted Moody's content into their own AI workflows rather than relying on generic or unverified data. With Anthropic, for licensed users, our agentic credit and compliance workflows are now available natively inside the cloud interface through something called an MCP application. And that's the first of its kind as far as we're aware. And it enables users to access Moody's agents to perform analysis, generate outputs, and trace sources without leaving the cloud environment. And by making our agentic solutions available through the AWS marketplace, …
Year-to-date debt issuance from the top five hyperscalers has already exceeded full-year 2025 levels, signaling massive AI infrastructure capex that will require ongoing funding. — Record hyperscaler bond issuance means these companies are front-loading debt to fund AI data centers, a multi-year buildout that will pressure their balance sheets but also drive structural demand for ratings and analytics.
“Launching a dedicated Moody's agent in Microsoft 365 Copilot and making Moody's intelligence available as a grounding data source across Copilot experiences.”
… agents to perform analysis, generate outputs, and trace sources without leaving the cloud environment. And by making our agentic solutions available through the AWS marketplace, We're meeting customers inside their existing cloud and procurement ecosystems, reducing friction by allowing customers to burn down their AWS commit when consuming Moody's agents and intelligence. And Moody's is scaling workflow embedded distribution by launching a dedicated Moody's agent in Microsoft 365 Copilot and making Moody's intelligence available as a grounding data source across Copilot experiences. That's Copilot Chat, Researcher, Copilot, and Excel. And this brings trusted decision grade context directly into everyday Microsoft tools, extending access beyond specialist teams and enabling faster, more consistent, explainable, and auditable decisions. And importantly, these are bring your own license models. They expand reach and usage, but preserve our direct relationship with our customer. And all of this sets up what I'm going to turn to next, which is how customers are using these capabilities today, and how that's translating into growth and differentiation across analytics and ratings. …
Year-to-date debt issuance from the top five hyperscalers has already exceeded full-year 2025 levels, signaling massive AI infrastructure capex that will require ongoing funding. — Record hyperscaler bond issuance means these companies are front-loading debt to fund AI data centers, a multi-year buildout that will pressure their balance sheets but also drive structural demand for ratings and analytics.
… 20% year-over-year, an important leading indicator of future recurring revenue. Here is how transactional revenue performed across the major categories. Investment grade was the largest contributor, with revenue up 33% year-over-year. Investment-grade revenue within corporate finance was driven by a record first quarter and the second highest quarter ever for issuance, including several jumbo transactions from hyperscalers and other technology issuers. Issuance from the top five hyperscalers year-to-date has already exceeded full-year 2025 levels. Speculative-grade revenue grew 31%, with investor appetite holding up well for most of the quarter despite geopolitical volatility. Now, we're watching this closely as sub-investment grade issuers tend to be more sensitive to issuance windows. Bank loan revenue declined as activity moderated in March, following a strong start to the year. M&A related issuance in Q1 was the highest in a number of years, which we view as an encouraging indicator for the balance of 2026. Public, project, and infrastructure finance grew 8%, driven by infrastructure finance which delivered its second-strongest quarter of the past decade. Funding needs …