Executive Summary / Key Takeaways

• AI Investment Inflection: S&P Global's $1 billion investment in AI since 2018 has evolved from foundational data processing to generative AI products like Document Intelligence 2.0 and ChatIQ, transforming the company from a data provider into an AI-enabled workflow platform that increases customer stickiness and pricing power across all segments.

• Portfolio Optimization Creates Focus: The planned tax-free spin-off of Mobility and divestitures of OSTTRA, Enterprise Data Management, and thinkFolio represent a strategic pruning that simplifies the business, improves margins, and concentrates capital on the four core data businesses that generated nearly $13 billion in 2024 revenue.

• Durable Moats Meet Cyclical Tailwinds: S&P Global's regulatory-licensed Ratings business (66% operating margin) and network-effect-driven Indices segment (69% margin) provide stable cash flows, while the current refinancing cycle and equity market strength create near-term revenue tailwinds that management expects to continue through 2026.

• Market Intelligence Acceleration: After six quarters of sluggish growth, Market Intelligence delivered 8% organic constant currency growth in Q3 2025, driven by competitive wins including a major investment bank adopting Capital IQ Pro as its primary desktop and a global asset manager tripling its contract value.

• Premium Valuation Supported by Capital Returns: Trading at 35.8x earnings and 10.0x sales, SPGI commands premium multiples that are justified by 9% revenue growth, 52% adjusted operating margins, and a commitment to return 85% of free cash flow to shareholders through a new $2.5 billion repurchase program.

Setting the Scene: The Evolution from Ratings Agency to AI-Powered Data Platform

S&P Global Inc., founded in 1860 and headquartered in New York, has spent 165 years building what is arguably the most entrenched data and analytics franchise in financial markets. What began as a credit rating agency has evolved into a multi-segment data platform serving trading desks, asset managers, corporations, and governments worldwide. The company makes money by embedding its data, ratings, and analytics so deeply into customer workflows that they become essential infrastructure rather than discretionary tools.

The industry structure favors incumbents with scale. In credit ratings, S&P Global and Moody's control over 95% of the global market, with regulatory licenses acting as insurmountable barriers to entry. In indices, the S&P 500 and Dow Jones Industrial Average are the default benchmarks for trillions in assets, creating network effects where adoption begets more adoption. In market intelligence, the battle is for workflow integration—providing not just data but the software layer that helps clients generate alpha, manage risk, and comply with regulations.

S&P Global's strategic evolution accelerated after its 2018 acquisition of Kensho, marking the beginning of a deliberate pivot toward AI-driven products. This wasn't a reaction to the ChatGPT moment; it was a prescient recognition that data without intelligence is a commodity. The company invested over $1 billion across three developmental stages: building foundational AI capabilities (2018-2021), launching early generative AI innovations (2022), and accelerating deployment across products (2023-present). This timeline matters because it explains why SPGI is monetizing AI today while competitors are still experimenting.

Technology, Products, and Strategic Differentiation: The AI Moat in Action

S&P Global's core technological advantage lies in its Kensho-powered AI stack, which transforms unstructured data into machine-readable formats and links disparate datasets across the enterprise. Products like Kensho Link, Scribe, NERD, and Extract created the foundation for today's generative AI capabilities. The hardest problem in enterprise AI isn't building large language models—it's connecting them to trusted, structured data in a way that produces reliable, auditable insights.

Document Intelligence 2.0, launched in Q3 2025 within Capital IQ Pro, exemplifies this advantage. It allows users to extract insights across multiple documents simultaneously through a conversational interface, reducing research time from hours to minutes. The iLEVEL Document Search feature enables private market professionals to query investment documents using natural language, while the ProntoNLP filings product extracts sentiment and characteristics from regulatory filings more efficiently than manual analysis. These aren't features; they're productivity multipliers that justify premium pricing.

The SPICE IndexBuilder showcases how AI compresses development cycles. What once took a month to create a custom equity index now takes two days, enabling S&P Dow Jones Indices to respond faster to client demands and launch more products. This speed advantage translates directly into revenue growth, as evidenced by Indices' 11% revenue increase in Q3 2025 and raised full-year guidance to 10-12% growth.

Management's AI partnerships with Microsoft (MSFT), Anthropic, Google (GOOGL), Salesforce (CRM), and IBM (IBM) expand distribution while preserving intellectual property rights. The Anthropic integration through Model Context Protocol allows Claude users to access S&P Global data in real time without the data becoming part of Anthropic's training set. The integration solves the enterprise concern about data leakage while creating new revenue streams. The IBM partnership embeds S&P Global agents within IBM's systems, giving IBM's customers access to maritime trade and economic risk insights. These partnerships transform S&P Global from a data vendor into an essential AI infrastructure layer, increasing switching costs and expanding the addressable market.

Financial Performance & Segment Dynamics: Evidence of a Working Strategy

S&P Global's Q3 2025 results provide compelling evidence that the AI and portfolio optimization strategies are working. Revenue increased 9% year-over-year to $3.89 billion, operating profit expanded 180 basis points to 52.1% on a trailing twelve-month basis, and adjusted EPS grew 22%. These aren't just strong numbers—they validate the thesis that a focused, AI-enabled data platform can drive both growth and margin expansion simultaneously.

The segment performance tells a nuanced story. Ratings delivered 12% revenue growth with a 66% operating margin, driven by both transaction revenue (corporate bond ratings, structured finance) and non-transaction revenue (surveillance, annual fees). Billed issuance increased 13% year-over-year to $1.14 trillion, with particular strength in high-yield and structured finance. The 6% higher Q4 2025 maturity wall for high-yield and healthy forward maturity walls through 2028 suggest this isn't a one-quarter phenomenon but a multi-year refinancing cycle that will support Ratings revenue growth of 6.5-8.5% for the full year.

Indices grew revenue 11% with a 69% operating margin, powered by a 24% increase in ending ETF AUM to $5.17 trillion and 26% growth in average ETF AUM. Asset-linked fees grew 14% while data subscriptions increased 10%. The performance demonstrates the power of network effects: as more assets track S&P benchmarks, the company captures more fees without proportional cost increases. Management is reinvesting incremental profit for future growth, guiding to flat margins of 69.5-70.5% despite strong revenue growth—a strategic choice that preserves long-term competitiveness.

Market Intelligence showed its strongest organic growth in six quarters at 8% constant currency, with revenue up 6% to $1.24 billion and operating margin expanding to 22%. The acceleration is attributed to revenue transformation efforts: greater sales team alignment, simplified incentives, and product innovation. Sales are up 10% year-to-date, and ACV growth is in the 6.5-7% range. The acceleration reverses a concerning deceleration trend and proves that AI-powered products like Document Intelligence are driving competitive wins, including a major investment bank adopting Capital IQ Pro as its primary desktop solution.

Commodity Insights grew 6% to $556 million with a 42% margin, but the story here is mixed. Energy & Resources Data & Insights grew 11% and Price Assessments 7%, but Upstream Data & Insights declined 2% due to customer consolidation and lower oil prices impacting discretionary spending. Additional U.S. sanctions are expected to create a $6 million headwind in 2025 and $20 million in 2026. The segment's exposure to energy market cyclicality and geopolitical risk stands out, though management is actively intervening to stabilize the Upstream business.

Mobility grew 8% to $445 million with a 26% operating margin, driven by 10% growth in Dealer revenue and 12% growth in Financials, while Manufacturing declined 3% due to tariffs and EV adoption uncertainty. The planned spin-off, announced in April 2025 and expected to complete within 12-18 months, will allow S&P Global to focus capital on higher-margin data businesses while unlocking value for shareholders through a tax-free distribution.

Outlook, Management Guidance, and Execution Risk

Management's updated 2025 guidance reflects confidence across the portfolio. Total revenue growth is now expected at 7-8%, adjusted margins at 50-50.5%, and adjusted EPS at $17.60-17.85—12-14% growth and 4 percentage points above initial guidance. The company expects to deliver approximately $6 billion in adjusted free cash flow while returning 85% of it to shareholders through dividends and the new $2.5 billion share repurchase program.

The guidance assumptions reveal management's view of the macro environment. For Ratings, they assume billed issuance growth in the mid-to-high teens in Q4 2025, driven by refinancing and opportunistic issuance, with M&A volumes remaining flat year-over-year. Management is conservatively assuming no M&A recovery in 2025, making any upside in deal activity a potential catalyst for 2026. The maturity walls through 2026 are 8% higher than a year ago, providing a visible pipeline of refinancing activity.

For Indices, guidance assumes U.S. equity markets remain flat from September 30 through year-end and modest year-over-year growth in exchange-traded derivative volumes. The conservative assumption means any equity market appreciation would drive upside to the 10-12% revenue growth guidance through higher asset-linked fees.

Market Intelligence's full-year revenue guidance of 5.5-6.5% growth, raised toward the upper end, signals that the revenue transformation efforts are sustainable. Management expects some incremental investment expense in Q4 but raised the margin guidance by 75 basis points, showing confidence that growth and profitability can coexist.

The Commodity Insights outlook was modestly lowered due to sanctions and Upstream headwinds, with revenue growth expected to persist into early 2026. The segment's vulnerability to geopolitical events stands out, though the impact is manageable relative to the overall enterprise.

Risks and Asymmetries: What Could Break the Thesis

The planned Mobility spin-off presents execution risk. While management remains on track to meet key milestones, the separation is contingent on satisfying numerous conditions and may not achieve the intended benefits. If the spin-off fails or the combined value of the two companies is less than the current whole, shareholders would suffer. The tax-free status, while expected, is not guaranteed.

Geopolitical risk manifests directly in Commodity Insights through sanctions. The $6 million 2025 and $20 million 2026 headwinds assume current sanctions remain and no new ones are introduced. If the U.S. expands sanctions further, particularly affecting energy data services, the impact could be materially larger, compressing segment margins and growth.

The Ratings business, despite its 66% margins, remains cyclical. Prolonged difficulties in global credit markets or a regulatory environment change could severely impact transaction revenue. While non-transaction revenue provides a "ballast to growth," a deep recession that halts issuance could still cause a 20%+ revenue decline in this segment, given its operating leverage.

Customer consolidation in energy and automotive markets creates headwinds for Commodity Insights' Upstream business and Mobility's Manufacturing segment. Lower oil prices reduce discretionary spending on data services, while tariffs and EV uncertainty weigh on automotive consulting revenue. These trends could persist into 2026, offsetting growth in other areas.

Competitive pressure in Market Intelligence remains intense. While management reported good competitive wins and no significant losses in Q3, the environment is "highly competitive" with "elevated price sensitivity." If AI-driven competitors or well-capitalized rivals like Bloomberg or Refinitiv gain share, SPGI's growth and margin expansion could stall.

Competitive Context and Positioning

S&P Global's competitive positioning is strongest where regulatory moats and network effects dominate. Against Moody's (MCO) in credit ratings, SPGI's 66% operating margin compares favorably to MCO's 46.9% margin, reflecting superior scale and diversification. While MCO holds a substantial ratings share, SPGI's ability to bundle ratings with Market Intelligence and Indices creates a stickier customer relationship that reduces churn and increases cross-sell opportunities.

In indices, S&P Dow Jones Indices' 33.8% share of ETF AUM dwarfs MSCI (MSCI)'s 9.5% share. MSCI's 56.4% operating margin is higher than SPGI's Indices segment, but SPGI's broader product suite and iconic benchmarks like the S&P 500 provide stronger pricing power and network effects. The recent acquisition of ARC Research, with its dataset of 500,000 private client portfolios, expands SPGI's reach into the private wealth market where MSCI has been building presence.

Against London Stock Exchange Group's Refinitiv (LSEG) and FactSet (FDS) in market intelligence, SPGI's AI-powered workflow solutions provide a differentiation that raw data feeds cannot match. While Refinitiv holds 19.6% of financial data terminal market share, SPGI's 8% organic growth in Market Intelligence and competitive wins like the major investment bank adoption show that product innovation can drive share gains. FactSet's 5.9% revenue growth and 29.7% operating margin trail SPGI's performance, highlighting the scale advantages of SPGI's integrated platform.

The key differentiator is SPGI's ability to leverage AI across its entire data estate. While competitors focus on specific niches, SPGI's ontology-based approach creates interoperability between Ratings, Indices, Commodity Insights, and Market Intelligence data. The approach enables clients to perform analyses that would require multiple vendors otherwise, reducing total cost of ownership and increasing switching costs.

Valuation Context

At $492.86 per share, S&P Global trades at 35.8 times trailing earnings and 10.0 times sales, with an enterprise value of $160.7 billion representing 21.3 times EBITDA. These multiples command a premium to the broader market and reflect the company's durable competitive advantages and consistent growth.

Relative to direct competitors, the valuation appears justified. Moody's trades at 39.4 times earnings and 11.7 times sales with higher debt-to-equity (1.81 vs. 0.32) and lower revenue growth. MSCI trades at 34.7 times earnings and 13.5 times sales but has negative book value and slower overall growth. FactSet, at 17.9 times earnings and 4.5 times sales, is growing at less than half SPGI's rate with substantially lower margins.

The company's capital structure supports the valuation. With debt-to-equity of just 0.32 and $6 billion in expected free cash flow for 2025, SPGI has the financial flexibility to invest in AI innovation, complete strategic acquisitions like the $1.8 billion With Intelligence deal, and return capital to shareholders. The 0.78% dividend yield, while modest, has grown annually for over 50 years, demonstrating commitment to shareholder returns through cycles.

The planned return of 85% of free cash flow through dividends and the new $2.5 billion share repurchase program signals management's confidence in the business's durability and suggests they view the current stock price as attractive for capital allocation, despite premium multiples.

Conclusion

S&P Global's investment thesis centers on a deliberate transformation from a collection of data businesses into an integrated, AI-powered platform with unmatched workflow integration. The $1 billion AI investment since 2018 is now monetizing through products that increase customer stickiness and pricing power, while the portfolio optimization via Mobility spin-off and non-core divestitures creates a more focused, higher-margin enterprise.

The company's Q3 2025 record performance—9% revenue growth, 180 basis points of margin expansion, and 22% EPS growth—demonstrates that this strategy is working. The durable moats in Ratings and Indices provide stable cash flows to fund innovation, while Market Intelligence's acceleration and Commodity Insights' energy transition offerings provide growth vectors.

The primary risks are execution-related: the Mobility spin-off must deliver promised value, sanctions could pressure Commodity Insights, and competitive dynamics in Market Intelligence require continued innovation. However, the company's financial strength, with minimal leverage and strong free cash flow conversion, provides resilience.

For investors, the key variables to monitor are the pace of AI adoption across the platform and the sustainability of the current issuance cycle. If SPGI can maintain its technological edge while navigating cyclical headwinds, the premium valuation will be justified by superior long-term earnings power and capital returns. The story is not about navigating change—it's about engineering it.