S&P Global Sheds Its Automotive Baggage, Bets the House on AI-Powered Financial Intelligence

S&P Global is spinning off its Mobility division mid-2026, sharpening its focus on ratings, indices, and AI-infused data products. With $15.3B in FY2025 revenue, a 50% adjusted operating margin, and new partnerships with Google Cloud, IBM, and Anthropic, the company is positioning Kensho as the AI engine for global capital markets.

SPGI · Financials · April 21, 2026

S&P 500 Position

S&P Global is the second-largest pure-play financial data and analytics company in the S&P 500 behind Moody's by certain margin metrics, though larger by market cap. Key neighbors include MSCI (index/ESG data), CME Group (derivatives exchange), ICE/NYSE (exchanges/data), and Nasdaq. S&P Global uniquely straddles financial data, credit ratings, commodity benchmarks, and index licensing — no direct peer replicates all four verticals. The Financials sector weight in the S&P 500 is roughly 14%, dominated by banks and insurance companies; SPGI is a high-margin outlier within the sector with a business model that looks more like a technology company than a traditional financial firm.

Index Weight: ~0.28% | Rank: Approximately #60-70 in the S&P 500 by market cap

Company Overview

S&P Global is in the middle of the most consequential portfolio transformation since its $44 billion IHS Markit acquisition in 2022. The planned mid-2026 tax-free spinoff of its Mobility segment — soon to trade as Mobility Global, Inc. — strips out CARFAX and the automotive data business to leave behind a cleaner, more cohesive capital-markets infrastructure company. Post-separation, S&P Global will operate four divisions: Market Intelligence, Ratings, Energy (formerly Commodity Insights, now rebranded around Platts, CERA, Horizons, and Events), and S&P Dow Jones Indices. Under new CEO Martina Cheung, the company is executing a strategy that treats proprietary data as feedstock for an AI flywheel powered by Kensho, its in-house machine learning subsidiary. The technical architecture story is the most interesting angle right now. S&P Global is building a unified Enterprise Data Office and Chief Client Office to stitch together data assets across all divisions — credit ratings, commodity benchmarks, financial statements, and market data — into a single, AI-addressable substrate. Kensho's product suite (Scribe, NERD, Extract, Link, LLM-ready API) operates as a data-enrichment pipeline that converts unstructured documents, audio, and PDFs into structured, machine-readable datasets. The company has struck agentic AI partnerships with Google Cloud (Gemini), IBM (watsonx Orchestrate), Microsoft (Copilot connector), and Anthropic for workflow-specific AI capabilities. A newly hired Chief Technology & Transformation Officer from FIS Global, Firdaus Bhathena, signals that the next phase is accelerating this AI-and-cloud transformation enterprise-wide. Competitively, S&P Global sits at a unique intersection: it owns the benchmarks that trillions of dollars are indexed against, the credit ratings that determine borrowing costs, and the commodity price assessments that settle physical trades globally. Moody's is the closest Ratings competitor, MSCI challenges on indices and ESG data, and Bloomberg/LSEG/FactSet compete in Market Intelligence. But no single competitor replicates S&P Global's breadth across all four domains simultaneously — and that cross-domain data advantage is precisely what makes its AI strategy defensible.

Products & Revenue

S&P Global's revenue engine runs on a subscription-heavy model — over 95% of revenue is tied to proprietary benchmarks and differentiated data, with subscription revenue representing roughly 55% of total and non-transactional revenue adding another 37%. Ratings is the highest-margin segment, driven by bond issuance volumes, while Indices generates outsized profits through asset-linked fees from ETFs and derivatives tied to S&P 500, Dow Jones, and other benchmarks. Market Intelligence is the largest segment by revenue, delivering desktop terminals (S&P Capital IQ Pro), data feeds, and enterprise analytics. The Energy segment (Platts pricing, CERA advisory) and Mobility (CARFAX, Polk) round out the portfolio, with Mobility set to separate mid-2026.

Market Intelligence (~37%): Multi-asset-class data platform centered on S&P Capital IQ Pro. Includes desktop analytics, enterprise data feeds, credit/risk solutions, and research. Subscription revenue dominates at ~85% of segment total.

Ratings (~36%): World's largest credit rating agency. Revenue is split between transaction fees (new bond issuance) and non-transaction revenue (surveillance, annual fees). Highest operating margins in the company, heavily leveraged to capital markets issuance volumes.

S&P Dow Jones Indices (~14%): Licenses the S&P 500, DJIA, and thousands of other indices. Revenue comes from asset-linked fees on ETFs/derivatives, data subscriptions, and custom index creation. The world's largest index provider by assets benchmarked.

Mobility (to be spun off as Mobility Global) (~13%): Automotive data and analytics platform including CARFAX, automotiveMastermind, Polk Automotive Solutions, and Market Scan. Covers the full vehicle lifecycle from OEM planning to consumer-facing history reports. Targeted for mid-2026 separation.

Energy (formerly Commodity Insights) (Included in segment reporting; ~$2.1B in FY2024): Platts commodity price benchmarks, CERA energy research/advisory, Horizons sustainability intelligence, and industry events (CERAWeek). Provides price assessments used to settle physical commodity trades globally.

Based on FY2025 10-K filing (period ending December 31, 2025). FY2025 segment reporting shows four segments: Market Intelligence ($4.92B), Ratings ($4.72B), Indices ($1.85B), Mobility ($1.75B). Energy segment revenue may be consolidated within Market Intelligence in FY2025 reporting or reported separately at ~$2.1B (FY2024 figure). Total reported revenue: $15.336B.

Leadership

Martina Cheung

CEO since 2024. Cheung became President and CEO in November 2024 after leading both S&P Global Ratings and S&P Global Market Intelligence. She joined the company in 2010 after stints at Accenture's Financial Services Strategy group and Mitchell Madison Consulting. Barron's named her one of the 100 Most Influential Women in U.S. Finance in 2025. Her strategic priorities center on AI-driven product innovation, private markets expansion, and the Mobility separation.

Firdaus Bhathena, EVP & Chief Technology and Transformation Officer (effective April 27, 2026): Just hired from FIS Global where he led a 24,000-person technology organization. MIT-educated, previously CDO at CVS Health, and co-founder of WebLine Communications (acquired by Cisco). Tasked with building a unified enterprise technology org and accelerating AI/cloud adoption.

Eric Aboaf, EVP & Chief Financial Officer: Joined in February 2025 from State Street Corporation where he was CFO and Vice Chairman for eight years. Previously CFO at Citizens Financial Group and a partner at Bain & Company. Overseeing capital allocation including the >$5B buyback program and Mobility spinoff financial architecture.

Catherine Clay, CEO, S&P Dow Jones Indices: Appointed November 2025, joining from Cboe Global Markets where she was EVP and Global Head of Derivatives. Previously CEO of LiveVol (acquired by Cboe). Leads the world's largest index provider, which is the company's highest-margin business per dollar of revenue.

Bhavesh Patel, CEO, Kensho: One of Kensho's earliest hires, he drove the AI subsidiary's growth from serving the U.S. Intelligence Community to powering S&P Global's enterprise-wide AI pipeline. Runs Kensho's Cambridge, MA-based AI Lab and the full suite of ML products (Scribe, NERD, Extract, Link).

Bill Eager, President, S&P Global Mobility / CEO-designate, Mobility Global: Former CARFAX CEO tapped to lead the standalone company post-spinoff. Managing the separation process including brand identity, capital structure, and operational independence for a $1.75B revenue automotive data business.

The AI Angle

Kensho turns proprietary data into an AI moat

S&P Global's AI strategy is architecturally distinct from most financial data competitors. The core engine is Kensho, acquired in 2018 for $550 million — at the time the largest AI acquisition ever by a financial data company. Kensho operates as an in-house AI lab headquartered in Cambridge, MA (near Harvard Square), staffed with ML engineers and data scientists who build foundational NLP and data-enrichment tools. The product suite forms a full pipeline: Kensho Scribe transcribes earnings calls with 25% higher accuracy than generic services; Kensho NERD (Named Entity Recognition and Disambiguation) identifies companies, people, and events in text and maps them to Capital IQ's knowledge graph; Kensho Extract converts complex PDFs into machine-readable formats; and Kensho Link resolves messy company data to S&P Global's unique entity IDs, handling up to 500,000 records in hours with parent-child hierarchy resolution. In April 2026, S&P Global shipped a major upgrade to Kensho Link with advanced multilingual matching and configurable match thresholds. The distribution strategy is multi-modal. The Kensho LLM-ready API, launched in beta in late 2024, lets customers query S&P Capital IQ Financials, Compustat, and market data using natural language through any LLM (GPT, Gemini, Claude). S&P Global has also built a Copilot Connector that pipes its data into Microsoft 365 workflows and a ChatAI tool for its Energy platform. AI-ready datasets are delivered via Snowflake, Databricks Delta Sharing, and native cloud APIs — with Python-wrapped data designed for seamless integration into data science environments. The partnership architecture is a build-and-buy hybrid. S&P Global announced a multi-year strategic partnership with Google Cloud in December 2025 to accelerate agentic innovation and data distribution using Gemini Enterprise. In October 2025, it partnered with IBM to embed watsonx Orchestrate's agentic framework into supply chain management tools, with plans to expand across finance, procurement, and insurance. The company has also disclosed agentic partnerships with Anthropic and Rogo for specialized financial workflows. Internally, the 451 Research analyst team (part of Market Intelligence) produces the industry's leading coverage of the GenAI market, creating a unique position where S&P Global both sells AI tools and publishes the definitive research on the AI market itself. The risk is execution complexity. Kensho is a powerful enrichment layer, but S&P Global is not building frontier models — it depends on partnerships with OpenAI, Google, Anthropic, and others for the generative capabilities that sit atop its data. If a hyperscaler or competitor like Bloomberg deploys equally capable financial AI with comparable data access, S&P Global's moat narrows to its proprietary benchmarks and ratings data. The departure of former Chief Digital Solutions Officer Swamy Kocherlakota in late 2025, who led much of the digital transformation, and the hiring of Firdaus Bhathena from FIS Global as the new CTTO, suggests the company is resetting its technology leadership for the next phase. The 2026 Investor Day target of 7-9% organic revenue growth and double-digit EPS growth is premised partly on AI-driven efficiency gains and new AI-enabled product revenue.

Financial Snapshot

Revenue (TTM): $15.3B — TTM ending December 31, 2025 | Net Income: $4.47B GAAP net income; $5.44B adjusted net income

Margins: Adjusted operating margin ~50%, GAAP net margin 29.2%

S&P Global delivered 8% revenue growth and 19% GAAP EPS growth in FY2025, driven by double-digit expansion in Ratings (+8%) and Indices (+14%). The company hit a 50% adjusted operating margin — a milestone reflecting both operating leverage and IHS Markit synergy capture. Capital allocation is aggressive: >$5B in buybacks during 2025, a planned ~$1B buyback in Q1 2026, and a 53rd consecutive year of dividend increases ($0.97/quarter). 2026 guidance calls for 6-8% organic constant-currency revenue growth and adjusted diluted EPS of $19.40-$19.65, representing 9-10% growth — with the Mobility spin expected to simplify the story and potentially unlock a re-rating.

1-Year Performance

$444.67, essentially flat YoY (-0.18%). The stock sits well below its 52-week high of $579.05 and above its 52-week low of ~$381.60.

SPGI dropped roughly 12% in a single session after its Q4 2025 earnings report on February 10, 2026 — a narrow EPS miss ($4.30 vs. $4.33 consensus) triggered an outsized selloff in a market already nervous about macro and geopolitical uncertainty. The stock has since recovered from lows near $408 but remains ~23% below its 52-week high. Broader market volatility in early 2026 — driven by Iran conflict escalation and tariff concerns — has compressed valuations across financial data companies. Wall Street consensus remains overwhelmingly bullish: 21 of 22 analysts rate it a Buy, with a median price target around $622, implying ~40% upside.

Recent News

Fun Fact: Kensho — S&P Global's AI subsidiary — was originally built for the U.S. Intelligence Community before being acquired. The name 'Kensho' comes from a Zen Buddhist term meaning 'seeing one's true nature' or 'initial insight.' When S&P Global acquired it in 2018 for $550 million (part cash, part stock), it was the largest AI acquisition in financial data history at the time. Kensho was born from research at Harvard and MIT, and its co-founder Daniel Nadler won the MIT $50K Entrepreneurship Competition. Today, Kensho still operates out of its original AI Lab in Harvard Square, Cambridge, and gives engineers a dedicated monthly 'learning day' to break from project work and explore new techniques — a practice borrowed from Google's famous '20% time' model.