Moody's Corporation (MCO) Q4 2025 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
Moody's earnings call indicates strong financial performance with increased transactional revenue and robust operating margins. The company is raising guidance, showing confidence in future growth. The Q&A session revealed some concerns about AI competition and divestitures, but overall, the company's strategic investments in AI and emerging markets are promising. The positive outlook on revenue growth, margin expansion, and shareholder returns supports a positive sentiment, likely leading to a stock price increase in the short term.
Key Financial Performance
Total Revenue Total revenue exceeded $7.7 billion, up 9% year-over-year. This growth was driven by strong performance in both Ratings and Analytics, sustained customer demand for decision-grade data analytics, and insights amidst large funding needs, market complexity, heightened risk, resilience needs, and compliance requirements.
Adjusted Operating Margin Adjusted operating margin expanded to 51.1%, up 300 basis points year-over-year. This improvement was attributed to driving further operating leverage into the business.
Adjusted Diluted EPS Adjusted diluted EPS reached a record $14.94, up 20% year-over-year. This growth represents a 70% earnings growth over the past 3 years, equating to a 20% CAGR since 2022.
Debt Rated Moody's rated $6.6 trillion of debt in 2025, an all-time high. This was driven by investments in infrastructure, AI-driven data centers, energy transition finance, and private credit.
Private Credit Revenue Private credit revenue in MIS grew by nearly 60% in 2025. This growth was due to market growth and Moody's expanding role in the sector, including new methodologies and analytical engagement.
Recurring Revenue in Moody's Analytics Recurring revenue grew 11% year-over-year and represented 97% of fourth-quarter revenue. This growth was supported by durable, high-quality growth from strategic customers and proactive portfolio adjustments.
Moody's Analytics Adjusted Operating Margin Adjusted operating margin for Moody's Analytics improved by 240 basis points to 33.1% for the full year. This was achieved through focus on high-growth opportunities, portfolio optimization, and disciplined cost management.
ARR (Annual Recurring Revenue) ARR reached $3.5 billion, up 8% year-over-year. Growth was driven by Decision Solutions, KYC, insurance, and banking, with KYC achieving 15% ARR growth.
Transactional Revenue in MIS Transactional revenue increased 22% in Q4, supported by 10% issuance growth and a favorable mix as lower-yield bank loan repricing activity declined.
MIS Adjusted Operating Margin MIS delivered a full-year adjusted operating margin of 63.6%, up 350 basis points year-over-year. This reflects strong operating leverage, technology investments, and disciplined capital allocation.
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Operating Highlights
AI-enabled solutions: Moody's is scaling decision-grade contextual intelligence embedded into customer workflows, including AI-enabled interfaces. AI adoption is driving greater consumption of proprietary data, expanding share of wallet, and reinforcing long-term customer economics.
CreditLens Lending Solution: CreditLens remains the fastest-growing product in the banking portfolio with growth approaching 20% in 2025. Two-thirds of eligible renewals converted to AI-enabled lending suite with an average uplift of 67%.
High-definition severe convective storm model: Launched in December, calibrated on $55 billion of granular claims data, reflecting demand for precise underwriting for climate-related risks.
Private Credit Ratings: Private credit revenue in MIS grew by nearly 60% in 2025, driven by market growth and demand for transparent, independent credit assessment. Moody's was the sole rating agency for Blackstone's $1.5 billion private credit CLO.
Stablecoin Rating Methodology: Moody's issued a Request for Comment on a cross-sector Stablecoin rating methodology, positioning itself in the digital finance ecosystem as tokenized cash usage accelerates.
AI-driven data centers and infrastructure: Rated $6.6 trillion of debt in 2025, including $70 billion in Q4 for companies like Alphabet, Amazon, and Meta, related to AI investment programs.
Recurring Revenue Growth: Recurring revenue grew 11% in Moody's Analytics, representing 97% of Q4 revenue. Adjusted operating margin expanded by 190 basis points to 36% in Q4.
Divestitures: Moody's sold its Learning Solutions and regulatory reporting businesses to focus on core strategies, reinforcing its recurring revenue model.
Efficiency Gains from AI: AI-enabled workflows reduced decision times by up to 80% and loan processing cycles by up to 15x for banking customers.
AI Context Layer and Knowledge Graph: Moody's is building foundational capabilities to link structured and unstructured data, enriching AI systems and analysts' understanding of risk and relationships.
Focus on High-Growth Areas: Investments are being directed towards lending and credit decisioning, KYC and compliance, and insurance, with AI-enabled platforms and solutions driving growth.
Capital Allocation Discipline: Moody's is investing in areas with high long-term returns, such as infrastructure, AI investment, energy transition, and digital finance, while expanding margins.
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Risk or Challenges
Market-driven uncertainty: The company experienced tariff-driven uncertainty in early 2025, which created a market-driven air pocket and impacted performance.
Regulatory compliance challenges: Increased regulatory compliance requirements, such as enhanced KYC due diligence and export control restrictions, are driving demand for solutions but also pose operational challenges.
Economic conditions: Accommodative monetary conditions and declining default rates are expected to support access to capital, but any changes in these conditions could impact issuance and revenue.
Private credit market risks: While private credit revenue grew significantly, the rapid growth in this sector could pose risks if market conditions change or if demand slows.
AI adoption risks: The company is heavily investing in AI-enabled solutions, but there is a risk of over-reliance on AI adoption and potential challenges in scaling these technologies effectively.
Divestiture impacts: The sale of the Learning Solutions and regulatory reporting businesses could impact revenue streams and operational focus in the short term.
Geopolitical and compliance risks: The company faces challenges in addressing complex global compliance requirements, such as ownership and control structures for export restrictions.
Government agency cancellations: Cancellations of contracts with U.S. government agencies impacted revenue in 2025, highlighting risks in public sector engagements.
Infrastructure and investment risks: The company is investing in infrastructure and AI-driven data centers, but these investments carry risks if market demand does not meet expectations.
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Guidance & Outlook
Revenue Growth: For 2026, Moody's expects total revenue growth in the high single-digit percent range, with Moody's Analytics revenue at the high end of mid-single-digit growth and MIS revenue growing at a high single-digit percent pace.
Operating Margin: Moody's projects an adjusted operating margin of approximately 65% for MIS and 34%-35% for Moody's Analytics in 2026, with an overall MCO adjusted operating margin expanding by 150 basis points to the 52%-53% range.
Earnings Per Share (EPS): The adjusted diluted EPS guidance for 2026 is $16.40 to $17, implying approximately 12% growth at the midpoint.
Free Cash Flow: Free cash flow is expected to be in the range of $2.8 billion to $3 billion, representing 13% growth at the midpoint.
Capital Expenditures: CapEx is projected to increase by $100 million in 2026 for the build-out of new headquarters in New York and London.
Debt Issuance: Total issuance is expected to increase at a low single-digit percent pace in 2026, with a 40%-45% increase in debt-funded M&A issuance.
Recurring Revenue: Moody's Analytics expects organic constant currency recurring revenue growth to align with ARR in the high single-digit percent range.
Shareholder Returns: Moody's plans to return at least 90% of free cash flow to shareholders in 2026, including approximately $2 billion in share repurchases and a 10% increase in the quarterly dividend.
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Shareholder Return Plan
Dividend Increase: Announced a 10% increase to the quarterly dividend for 2026.
Share Repurchase Program: Plan to repurchase approximately $2 billion in shares during 2026.
Capital Return to Shareholders: At least 90% of free cash flow will be returned to shareholders in 2026.
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Key Q&A
Q:Do you feel like you have the right assets for MA, or should we expect more portfolio trimming this year?
A:The management feels confident about their current assets and capabilities, emphasizing the importance of trusted data for AI and regulated institutions. They are focusing on areas like lending, credit decisioning, KYC, compliance, and insurance, where they have strong capabilities and customer relationships. They have pruned the portfolio to focus on scalable growth opportunities.
Q:When will AI significantly contribute to ARR revenue, and are there other issues in the business?
A:AI is already contributing, particularly with large accounts growing twice as fast as the rest of the portfolio. The management highlighted strong engagement with sophisticated institutions and customers adopting AI solutions. However, there are some headwinds in areas like insurance and KYC, partly due to DOGE. They expect AI-driven growth to trickle through the broader customer base over time.
Q:What is the expected issuance trajectory for the year on the Ratings side?
A:Issuance activity is expected to be more heavily weighted towards the first half of the year, with mid-50s percent of total issuance in the first half. Issuance is projected to grow in the high single-digit range in the first half of 2026 and decline mid-single digit in the second half. Revenue growth is expected in each quarter, with mid-teens growth in the first half and low single-digit growth in the second half.
Q:How much of your data is proprietary, and how does it support MA?
A:The management emphasized their massive proprietary data estate, which is unified into a single normalized record for each entity. They highlighted the creation of a trusted context layer that makes data usable for AI reasoning. Orbis, a key part of their data estate, includes years of entity resolution, ownership mapping, and expert judgment, making their data uniquely valuable.
Q:What is the moat around MA's software or vertical solutions in the context of AI competition?
A:The management highlighted their flexibility in delivering content through various channels, including software, APIs, and specialized agents. They emphasized that their software is a delivery channel for their content, which is deeply integrated with their data and models. They are confident in their ability to meet customer needs across different segments and adoption curves.
Q:How do the two MA divestitures affect the MA revenue guide for 2026 and the ARR figure?
A:The Learning Solution divestiture has a minimal impact on 2025 results but is expected to create a 1% headwind to MCO revenue growth and a 2% headwind to MA revenue growth in 2026. The regulatory business divestiture, expected to close mid-2026, will create a 2% headwind to MA revenue growth. ARR is adjusted to exclude the effects of divestitures and acquisitions, and both ARR and constant currency organic recurring revenue are expected to grow high single digits in 2026.
Q:What drives the better-than-expected MIS margin guide, and how should we think about the medium-term guide?
A:The 65% adjusted operating margin for Moody's Ratings is driven by revenue growth, transaction revenue growth, and investments in technology enablement. These investments have improved operating leverage and efficiency. The management continues to invest in areas like private credit, commercial efforts, and technology while expanding margins.
Q:What are the potential vulnerabilities of MA to third-party AI initiatives, and how might AI impact pricing models?
A:The management highlighted the complexity and uniqueness of their data estate, including proprietary agreements, regulatory compliance, semantic complexity, and historical depth, which make it hard to replicate. They are trialing consumption-based pricing models to align with outcomes and capture potential upside from AI-driven efficiencies. They do not use seat-based licenses and are exploring ways to adapt to changes in customer needs.
Q:Review of Unclear Management Responses
A:Management avoided directly addressing the potential vulnerabilities of MA to third-party AI initiatives, providing a general overview of their data estate's complexity and uniqueness without specific examples of areas where they might be vulnerable. Additionally, while they discussed trialing new pricing models, they did not provide concrete details on how these models would be implemented or their potential impact on revenue.
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Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
AI interface
AI investment
AI platform
AI system
API
APIs
Gen AI
KYC
Moody solution
Ratings Analytics
area lending
cat bond
climate
cloud
consumption
context layer
creation
customer demand
customer workflow
decision grade
diligence
discipline
energy transition
entity resolution
grade analytics
infrastructure AI
intelligence Moody
interface decision
lending credit
market infrastructure
need market
rate customer
rating methodology
requirement
role
sale agent
screening
tool credit
trust
warning
workflow platform
year Ratings
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Frequently Asked Questions
Where does this earnings call transcript come from?
All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.
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Why do some answers appear as “Unclear” or “Inaudible”?
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Who creates the AI Summary and Key Q&A highlights shown above the transcript?
They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.
