S&P Global Inc. (SPGI) - Deep Dive Research Report

Prepared: May 9, 2026 | Analyst: Hedge Fund Research Desk

1. WHAT THE COMPANY DOES

S&P Global is an information services business that sells data, analytics, and benchmarks that the global financial system uses to price risk, move capital, and understand markets. The company does not trade securities, lend money, or manage assets. What it does is far more durable: it builds the shared vocabulary and reference points that allow everyone else to do those things.

The simplest way to understand the business is through an example. When a large corporation wants to raise money by issuing bonds, it hires an investment bank to structure the deal. Before that paper can be sold to insurance companies, pension funds, or money market funds, the issuer pays S&P Global Ratings to assess the probability that it will repay its debt. That credit rating - AAA, BBB, or below investment grade - becomes the sentence in the bond indenture that unlocks or closes off an enormous pool of regulated capital. Without a rating, many institutional buyers simply cannot own the bond by charter. The rating, in other words, is a key that opens a door. S&P holds the franchise to make that key.

Multiply that single example across 150 countries, across corporate debt, structured finance, municipal bonds, sovereign debt, private credit, and middle-market loans. Then add the S&P 500 - the most tracked financial benchmark in history, licensed to every ETF manager and derivatives exchange that wants to run a product against it. Add Platts, which publishes the price of Brent crude oil that hundreds of billions of dollars of commodity contracts worldwide are settled against. Add the data terminals, research platforms, and analytics tools that hedge funds and investment banks use every day to do their work. That is the S&P Global of 2026.

The company has two distinct evolutionary chapters. In its first century, it was McGraw-Hill, a publishing house that happened to own Standard & Poor's (acquired in 1966). Over the decades, the education and broadcasting divisions were shed: the broadcasting group sold to E.W. Scripps in 2011, the education unit sold to Apollo Global Management in 2013 for $2.5 billion. What remained was the financial information core. In 2016, the residual entity rebranded as S&P Global, making explicit what the business had quietly become.

The second chapter is defined by scale through acquisition. The 2022 merger with IHS Markit - at approximately $44 billion the largest deal in the financial information industry - brought in Platts' commodities intelligence, Carfax's vehicle history data, financial derivatives processing through OSTTRA (since sold to KKR), and a deep analytics suite that filled gaps in S&P's coverage of private markets, automotive, and commodity workflows. The $355 million run-rate synergy target from that merger was achieved ahead of schedule in Q3 2025 - a notable execution milestone. The 2024 acquisition of Visible Alpha added consensus earnings analytics, and the $1.8 billion acquisition of With Intelligence, closed in Q4 2025, added private market fund data covering private equity, private credit, infrastructure, and family offices across 3,000 clients globally.

The technical nature of S&P's products is worth dwelling on. The S&P 500 index is not just a list of 500 stocks. It is a methodology, a committee, a reconstitution process, and a legal franchise maintained over decades. Its value is its ubiquity: when the world's passive investors, derivatives desks, and pension consultants all benchmark against the same number, the benchmark earns its dominant position precisely because abandoning it would mean stepping out of a global reference system. The same network effect logic applies to Platts price assessments: they are the price not because Platts runs the most sophisticated algorithm, but because the industry wrote contracts against Platts assessments for decades and switching would require renegotiating thousands of bilateral agreements.

Credit ratings carry the deepest institutional entrenchment. Investment mandates and bank capital regulations worldwide use NRSRO (Nationally Recognized Statistical Rating Organization) designations as a gating criterion. A buyer's investment policy statement may literally read "only rated securities" - and that means S&P, Moody's, or Fitch. No amount of algorithmic sophistication from a new entrant can substitute for regulatory blessing and institutional habit accumulated over 80 years.

2. BUSINESS SEGMENTS

S&P Global operates through five divisions. Four will remain after the pending Mobility separation.

2a. S&P Global Ratings (~33% of revenue)

Ratings is the original franchise and still the most recognizable. The business analyzes the creditworthiness of debt issuers - corporations, governments, financial institutions, and structured products - and publishes an opinion, expressed as a letter grade from AAA to D. Issuers pay for this opinion because they must have it to access large pools of institutional capital.

The core capability took generations to build. It combines three interlocking assets that cannot be replicated quickly: a dataset of issuer behavior across complete credit cycles going back to the early twentieth century, a methodology trusted by regulators and institutional investors worldwide, and a NRSRO designation in the United States (and equivalent designations across 20+ jurisdictions globally). The NRSRO designation is granted by the SEC after extensive review and is practically never revoked from established players. It functions as a regulatory moat.

Revenue in Ratings comes from two sources. Transaction revenue is paid when a new bond or structured product is rated - so it rises and falls with debt issuance volumes, which correlate with interest rate cycles, corporate confidence, and M&A activity. Non-transaction revenue comes from ongoing surveillance fees, rating evaluation services (RES, used by issuers to understand how a hypothetical transaction would be rated before committing), and access to RatingsDirect, the research database. Over recent quarters, non-transaction revenue has grown faster than transaction revenue, reducing cyclicality.

Two areas within Ratings are growing structurally faster than public market debt: private credit and middle-market CLOs. As the private credit market has expanded - credit assets under management at the five largest private credit managers more than doubled between 2020 and 2025, reaching $2 trillion - demand for independent credit opinions on private loans has followed. S&P's credit estimates (assigned to entities that do not publicly disclose financials) more than doubled from 1,200 in 2021 to over 2,800 by late 2025. Middle-market CLO formation, which requires ratings on each tranche, has similarly surged. This structural shift gives Ratings a long runway even if public bond issuance cycles down.

The operating margin in Ratings is the highest in the group. It ran at 67.8% in Q1 2026 - a consequence of near-zero marginal cost for incremental ratings on familiar issuer types and an analyst workforce that can cover more issuers as datasets and templates mature.

Competitive position: Ratings competes directly against Moody's, which holds an approximately equal ~40% share of the global ratings market, and Fitch, which holds approximately 15%. The duopoly between S&P and Moody's is entrenched because large structured finance deals are typically dual-rated by both, regulatory frameworks in many jurisdictions require multiple ratings, and switching either agency is procedurally and reputationally complex for an established issuer. There has been persistent political and regulatory interest in fostering competition (Dodd-Frank addressed this explicitly), but new entrants have made essentially no inroads into investment-grade or structured finance ratings.

Strategic priority: Ratings is the group's profit engine. Management is leaning into private credit and structured products as the next leg of secular growth.

2b. S&P Global Market Intelligence (~27% of revenue)

Market Intelligence is the largest division by revenue count but has historically carried lower margins than Ratings or Indices. It sells data, research, and analytics to investment professionals - hedge funds, investment banks, asset managers, insurance companies, and corporates - primarily via its Capital IQ Pro desktop platform and through enterprise data feeds.

The business bundles several distinct product types. Capital IQ Pro is the competitive answer to Bloomberg Terminal and FactSet: it aggregates financial statements, ownership data, estimates, credit research (via the embedded RatingsDirect interface), alternative data, and analytical tools into a single desktop. Enterprise data delivers the same underlying data in bulk or via API to clients who want to integrate it into their own systems. iLEVEL is the portfolio monitoring platform for private equity and credit fund managers, allowing GPs to track portfolio company performance and allowing LPs to see their fund positions. With Intelligence, acquired in Q4 2025 for $1.8 billion, brings differentiated private market fund data - GP profiles, LP allocation strategies, fund performance benchmarks - to a market where comparable information is scarce and therefore valuable.

The core capability in Market Intelligence is proprietary dataset construction. The segment generates over 95% of its revenue from proprietary sources - data that has been collected, curated, standardized, and enriched rather than simply redistributed. Financial statement data normalized across accounting standards in 100+ countries; entity linking that ties a mention of "Goldman Sachs" in a filing to the correct legal entity in S&P's knowledge graph; Kensho Link, which automates linkage across millions of entities using NLP and LLMs - these are capabilities built over decades and with hundreds of millions in annual investment that cannot be assembled quickly.

AI is becoming a genuine monetization lever. Kensho, acquired for $550 million in 2018, now powers the Kensho LLM-ready API, which allows customers to query S&P's structured data using natural language via models like Claude or GPT. Over 300 customers had contracted for Kensho APIs as of Q1 2026, with call volumes up 5x quarter-over-quarter. Management noted in Q1 2026 that some clients are willing to pay a 35-45% renewal increase for AI-access packages - which represents a meaningful pricing lever on a subscription base that previously grew through volume.

Competitive position: The terminal and data feed market is intensely competitive. Bloomberg dominates real-time market data and is widely acknowledged to have stronger community effects among traders and sales desks. LSEG Data & Analytics (formerly Refinitiv) is a close competitor on fixed income data and workflow. FactSet competes directly on equity analytics and portfolio analysis tools. Where Market Intelligence wins is on breadth of asset class coverage (credit, equity, private markets, commodities all on one platform), depth of financial statement data globally, and integration of the S&P Ratings research corpus, which competitors cannot replicate. Where it has historically been weaker is in real-time data delivery and the trading-desk user experience.

The multiyear portfolio optimization mentioned in Q3 2025 - divesting EDM, thinkFolio, and the Upstream software portfolio - is a deliberate choice to exit workflow tools in competitive segments where S&P does not have a differentiated data advantage, reinvesting focus and capital into the proprietary data assets it can defend.

Strategic priority: Market Intelligence is management's growth investment. Margin is below group average but expanding. The With Intelligence acquisition and AI premium pricing strategy are the key vectors for value creation here.

2c. S&P Dow Jones Indices (~19% of revenue)

The Indices business licenses the right to use S&P's index brands and methodologies to financial product manufacturers - ETF issuers (BlackRock's iShares S&P 500 ETF is the largest ETF in the world), derivatives exchanges (the S&P 500 futures and options on the CME are among the most liquid instruments anywhere), and institutional investors who use custom indices as performance benchmarks. S&P Dow Jones Indices is a joint venture with CME Group, which owns a minority stake.

Revenue is almost entirely asset-linked or transaction-linked. Asset-linked fees are earned as a basis point fee on assets under management in products benchmarked to S&P's indices. Every dollar that flows into an S&P 500 ETF - and hundreds of billions flow in regularly from 401(k) contributions, sovereign wealth funds, and global retail investors - generates an ongoing fee. This is an extraordinarily durable revenue stream. Transaction fees come from derivatives volume on exchanges, where S&P earns a fee per contract. Data and custom subscriptions round out the business for clients who need index data or bespoke index construction.

The economics of this business are exceptional. The index itself is largely rules-based and self-calculating after the initial intellectual framework is established. The marginal cost of adding another billion dollars of AUM benchmarked to the S&P 500 is essentially zero - the index rebalancing methodology does not change. This structural leverage means every dollar of asset growth flows almost directly to margin. The operating margin in Q1 2026 was 73.8%.

The franchise is built on two brands that are virtually impossible to dislodge. The S&P 500 is the global equity benchmark. The Dow Jones Industrial Average, co-branded with S&P since the joint venture's formation in 2012, remains the most-cited market indicator in popular culture. Both have network effects rooted in the fact that everyone uses them precisely because everyone uses them - a circular logic that reinforces their monopoly position.

Growth is being driven by three forces. First, the long-term secular shift from active to passive investing deposits more assets under S&P benchmark management. Second, S&P is successfully moving into thematic and factor indices (ESG, low-volatility, dividend, sector-specific), where index revenue per AUM dollar can be higher than on plain-vanilla products because the methodology is more specialized. Third, international index adoption is growing as markets outside the US deepen their ETF ecosystems.

Competitive position: MSCI is the primary competitor, dominant in non-US equity indices and a strong player in factor and ESG index products. FTSE Russell (part of LSEG) is strong in UK and broader global equity mandates. Where S&P wins is in US equity - the S&P 500 has no realistic competitor as a US equity benchmark. Where MSCI has an edge is in global ex-US portfolios and in factor index sophistication. The two compete vigorously for new custom index mandates from asset managers launching new ETF products.

Strategic priority: Indices is the margin and cash engine. Management targets 10-12% organic constant currency growth in 2026 and does not appear to be meaningfully investing for transformation here - it simply needs to not be disrupted.

2d. S&P Global Commodity Insights (Energy) (~14% of revenue)

Commodity Insights - known historically as Platts - is the information nerve center of the global energy and commodities markets. The business publishes daily price assessments for over 12,000 commodity markets: crude oil grades, refined products, LNG, natural gas, metals, petrochemicals, shipping rates, agriculture, and energy transition commodities like lithium, cobalt, and renewable energy certificates. These assessments are not just data points - they are the prices that billions of dollars in physical and derivative contracts around the world are settled against.

The core capability is a methodology and a market position built since 1909. Platts price specialists speak to buyers, sellers, and brokers every day in each commodity market. They apply documented methodologies - standardized by volume, timing, location, and quality specifications - to determine the "assessed" market price. Because so many contracts reference Platts assessments, market participants cannot afford to ignore them. The benchmark becomes self-reinforcing: the more contracts reference it, the more market participants engage with Platts, the more representative its assessments become.

Beyond price assessments, Commodity Insights provides news and analysis (via the Platts Connect platform), forward curves and analytics for risk management, data on capacity, reserves, flows, and production (upstream data and insights), and event and conference content including CERAWeek - the global energy industry's largest annual conference. CERAWeek attracted a record 11,000 attendees in Q1 2026.

The segment divides into two different business profiles within the energy value chain. Energy and Resources Data and Insights covers the upstream and midstream - production data, reserves data, project pipelines, flow data. Price Assessments covers the trading and settlement function. Upstream Data and Insights has faced pressure as oil company consolidation reduces the number of customers and some client segments reduce discretionary analytics spending. In contrast, Price Assessments and Energy & Resources Data have both been growing at double-digit rates.

A significant portfolio action is underway: in Q1 2026, S&P signed an agreement to divest the Upstream software portfolio (representing approximately 25% of Commodity Insights revenue), sharpening the division's focus on the higher-margin price assessment and data analytics products where S&P has unassailable benchmarks. The Iran conflict created a revenue headwind in Q1 2026 as sanctions disrupted some price assessment markets, lowering guidance for the division by approximately 1 percentage point.

Competitive position: Argus Media is a direct and credible competitor in crude oil and refined products assessments, particularly in some regional markets where Argus has challenged Platts' assessments on methodology grounds. ICIS competes in petrochemicals. Reuters competes broadly in commodities data. However, the incumbency of Platts benchmarks in physical contracts creates a switching cost that is genuinely severe - a commodity trader who has written contracts referencing "Platts Dated Brent" cannot simply start using Argus assessments without renegotiating every affected contract.

Strategic priority: Commodity Insights is a cash contributor with defensive characteristics. The divestiture of Upstream software and the focus on data/price assessment products is a move toward a higher-quality, higher-margin revenue profile within the division.

2e. S&P Global Mobility (~11% of revenue, pending spin-off)

Mobility provides data and analytics to the automotive industry across the full vehicle lifecycle. Products include CARFAX (vehicle history reports sold to consumers and dealers), Polk registration and ownership data (used by manufacturers, dealers, and finance companies to understand market share, trends, and consumer behavior), automotiveMastermind (predictive analytics for dealer sales targeting), and manufacturing and supply chain analytics used by OEMs for production planning.

The division was inherited from IHS Markit and has operated largely independently since. On April 29, 2025, S&P Global's board decided to pursue a full separation of Mobility, creating a new independent public company - now named Mobility Global, Inc. - through a tax-free spin-off to S&P shareholders. The Form 10 registration statement was filed on May 7, 2026. The rationale is that Mobility's automotive-specific value chain has very little overlap with S&P's financial information core, its customers are different, and as a standalone company it can allocate capital and make acquisitions appropriate to its own competitive environment.

The business within Mobility has three segments: Dealer (showroom and consumer analytics, CARFAX included), Manufacturing (OEM planning and supply chain data), and Financials & Other (auto lending and insurance underwriting analytics). Dealer has been the strongest performer, growing 10-11% in recent quarters. Manufacturing has been under pressure from tariff uncertainty and OEM hesitation on production planning. Financials & Other has grown strongly at 12%.

Competitive position: CARFAX competes directly with Experian AutoCheck and LexisNexis Risk Solutions in vehicle history reports. In registration/market share data, Polk has been the long-standing industry standard but JATO Dynamics competes internationally. The data in Mobility (VIN-level registrations, service records, ownership history) took decades to accumulate and has contractual relationships with DMVs, dealers, and OEMs that create meaningful barriers to entry.

Strategic priority: Mobility is being separated. Post-spin, it ceases to be an S&P Global segment.

Segment Summary

3. PRODUCTS AND BUSINESS DETAIL

Capital IQ Pro is S&P's flagship desktop platform for investment professionals. It integrates financial statements data for public and private companies across 100+ markets; ownership and fund data; credit ratings and research from RatingsDirect; earnings estimates consensus (enhanced by the 2024 Visible Alpha acquisition, which brought sell-side earnings model data previously unavailable in standardized form); alternative data; and increasingly, generative AI tools. The platform competes directly with Bloomberg Terminal, FactSet, and LSEG Workspace. It is sold as a subscription, typically at the enterprise level.

RatingsDirect is the credit research and ratings database. Investment professionals use it to access all of S&P's rating reports, surveillance notes, and research. It is now embedded within Capital IQ Pro as well as sold separately. CreditCompanion, launched in May 2025, adds a GenAI chat interface that allows credit analysts to query the RatingsDirect corpus in natural language.

Kensho LLM-ready API allows external developers and financial institutions to integrate S&P's structured data into LLM workflows. Using MCP (Model Context Protocol, the standard pioneered by Anthropic), a user in an AI agent can directly query S&P's database in real-time. The Kensho/Anthropic integration announced in Q2 2025 is an example. The API enables institutions to build internal AI tools that answer questions like "what are the top ESG-rated issuers in European utilities with upcoming debt maturities?" directly against S&P's proprietary database.

Kensho Link is the entity resolution and data linking infrastructure. It automatically identifies and links references to the same real-world entity (company, person, security) across different datasets using NLP and LLMs. This sounds like plumbing but is critically important: an AI tool trained on S&P's data is only as useful as its ability to correctly attribute data points to the right legal entity. Kensho Link is what makes S&P's datasets "AI-ready."

iLEVEL is the private markets portfolio monitoring platform used by private equity and private credit fund managers. GPs upload portfolio company financials; LPs get visibility into fund performance. It is distinct from With Intelligence, which covers fund-level benchmarking, allocation strategies, and LP/GP relationship data. Together, they give S&P comprehensive coverage of the private markets information stack.

Platts Price Assessments are published daily for over 12,000 commodity markets. The methodology for each market is publicly documented. For example, the Platts Dated Brent assessment - the global crude oil benchmark - is calculated based on trades, bids, and offers in the North Sea market during a specified window each day, adjusted for quality and delivery location differentials. Because Dated Brent is referenced in the majority of physical crude oil contracts globally, its calculated price directly determines the value of billions of dollars of transactions. The methodology can be challenged (Argus has filed formal challenges with regulatory bodies) but the network effect of its adoption is self-reinforcing.

CERAWeek is the annual energy industry conference that S&P Global organizes through its Commodity Insights division. With 11,000 attendees in Q1 2026, it is the largest gathering of energy industry leaders globally, featuring government ministers, oil company CEOs, and energy transition executives. It generates direct revenue from attendance and sponsorship, and indirectly reinforces S&P's brand authority in the energy market.

Titan is a new upstream data product launched at CERAWeek in Q1 2026. It represents S&P's shift within the Upstream Data & Insights sub-segment toward more differentiated data products rather than software tools.

SPICE Index Builder is a generative AI tool within the Indices platform that allows clients to create custom indices. A task that previously took approximately one month now takes two days. This dramatically lowers the friction for asset managers to launch new thematic ETF products using S&P methodologies - which generates more asset-linked fee revenue for S&P as those products grow.

CARFAX is the consumer-facing vehicle history report brand in North America. A consumer buying a used car pays approximately $40 for a report that shows accidents, title changes, service records, and odometer readings. Dealers use CARFAX as part of their certified pre-owned programs. The underlying VIN database is the product; CARFAX is the retail interface. It is being separated into Mobility Global.

automotiveMastermind uses predictive analytics to tell car dealers which specific customers in their market are most likely to be in the market for a new car, and which competitor vehicle they might be considering. It is the analytics layer on top of Polk's registration database.

Geographic footprint: S&P's business is globally distributed. The Americas (predominantly the US) contribute approximately 55-60% of revenue. Europe, Middle East, and Africa contribute approximately 25-30%. Asia-Pacific contributes approximately 10-15%. The IHS Markit merger significantly deepened S&P's international footprint, adding strong positions in European energy markets (via Platts) and Asian financial data markets.

4. CUSTOMERS

Who buys: S&P's customer base spans virtually every major category of financial institution and energy company globally. Investment banks and broker-dealers buy Ratings surveillance services, Capital IQ Pro terminals, and Platts energy data. Asset managers and hedge funds buy Market Intelligence data feeds, Capital IQ Pro platforms, and index licenses. Insurance companies buy credit ratings to monitor their bond portfolios. Corporate treasurers buy ratings to maintain market access and use Capital IQ Pro for competitive benchmarking. Oil companies and energy traders buy Platts assessments to settle contracts and monitor markets. Regulators buy financial system data.

For Ratings: The issuer is the paying customer - the corporation, government, or financial institution whose debt is being rated. The buying decision is typically made by the CFO or Treasurer in coordination with the investment banking advisor who is structuring the debt offering. The choice of which rating agency to use is partly determined by investor preference (many institutional buyers require two ratings), partly by the issuer's existing relationship with a given agency, and partly by strategic considerations around which agency is perceived as more favorable to a particular instrument type. Switching agencies is uncommon because it disrupts the established surveillance relationship and triggers re-rating complexity.

For Market Intelligence: The enterprise buyer is a Chief Information Officer, Head of Research, or Head of Data at an investment bank or asset manager. Purchasing decisions involve multi-month procurement processes, data vendor assessments, and negotiations over enterprise licensing terms. Individual users - analysts and portfolio managers - influence purchase decisions through workflow preference and the integration depth of S&P's data in their existing tools. Switching costs are high: financial models built on Capital IQ Pro data, internal research databases populated from S&P feeds, and workflow integrations with other platforms create significant migration costs. Management noted in Q2 2025 that its net renewal rate increased more than 1 percentage point year-over-year - a signal that retention is strengthening.

For Indices: Customers are ETF issuers, pension funds, derivatives exchanges, and institutional investment managers. The relationship is typically a multi-year license agreement governing the use of S&P's index brand and methodology. BlackRock, Vanguard, and State Street are among the largest licensees by implied fee volume. Switching an index benchmark for an established ETF is extremely rare - it would require shareholder consent, name changes, regulatory filings, and potential investor outflows if the new benchmark is less well-known. The S&P 500 ETF category effectively has no index switching risk.

For Commodity Insights: Physical commodity traders, oil companies, utilities, airlines, and agricultural processors buy Platts subscriptions. Risk managers at these organizations use forward curves and analytics. Traders use assessments to mark positions. Purchasing is typically centralized at the corporate level with very long tenure - an energy company that has been a Platts customer for 20 years has often embedded Platts data directly into its trading and risk management systems. Switching assessors would require renegotiating physical contracts at the most extreme end of lock-in.

Contract structure: The majority of S&P's revenue is subscription-based, with multi-year enterprise agreements common in Market Intelligence and Commodity Insights. Ratings has a mix of transaction fees (paid per new issuance) and recurring surveillance fees. Index licenses are recurring and often tied to AUM growth, which creates natural revenue expansion without renegotiation. The subscription-heavy model means revenue is predictable, renewing, and relatively immune to individual quarter's market conditions - though Ratings' transaction revenue does cycle with debt issuance volumes.

Concentration: No single customer represents a meaningful percentage of S&P's consolidated revenue. The customer base spans thousands of institutions across dozens of countries. The closest to concentration risk is within specific segments: in Ratings, large investment banks who structure and place debt are relationships worth protecting, but any one bank's share of rated issuance is small. In Indices, the largest ETF managers are critical relationships, but the AUM fee structure means S&P benefits from their asset growth, not just their continued patronage.

5. COMPETITIVE LANDSCAPE

The financial information industry is not a single market but several adjacent ones, each with its own competitive dynamics. S&P has a different position in each.

Credit Ratings: This is an oligopoly. S&P and Moody's together account for approximately 80% of the global market. Fitch holds about 15%. DBRS Morningstar is a distant fourth. Post-2008 regulatory efforts to foster competition - including Dodd-Frank's mandates and the EU's push to create European alternatives - produced essentially no change in market share. The reason is structural: institutional investment mandates reference "NRSRO ratings," and the NRSRO framework itself (overseen by the SEC) creates a regulatory barrier that has blocked all meaningful new entrants. A new rating agency would need to build a century of data, win NRSRO recognition, and then convince regulators and institutional buyers to trust its ratings alongside S&P and Moody's - a task that has proven impossible in practice.

Within the duopoly, S&P and Moody's compete primarily on methodology, analyst access, and relationship management for large issuers. Many sophisticated issuers employ both agencies, so competition happens at the margin of new relationships and in structured finance innovation. S&P's strength is in corporate and structured finance; Moody's has historically been stronger in bank and sovereign coverage in some markets.

Financial Information Terminals and Data: This market is large, fragmented, and intensely competitive. Bloomberg holds approximately 30-35% of global terminal market share and is nearly unassailable among traders, particularly in fixed income. Bloomberg's pricing power and stickiness come from its community (everyone in trading uses Bloomberg, so information flows on Bloomberg), its real-time data depth, and the Bloomberg keyboard muscle memory of an entire generation of finance professionals. S&P cannot displace Bloomberg on a trading desk.

LSEG Data & Analytics (formerly Refinitiv, which LSEG acquired from Blackstone/Thomson Reuters) is a direct competitor across financial data, workflow analytics, and desktop platforms. FactSet is a strong competitor in equity analytics, particularly among buyside firms. Where S&P has a structural advantage is in the integration of its own Ratings corpus (which neither Bloomberg nor LSEG can replicate) and in proprietary financial statement data depth for global markets.

The AI-driven data API market is a new battleground. S&P's Kensho LLM-ready API positions it well to become the data backbone for AI-powered financial analysis tools. If large language models become the primary interface for financial research (rather than terminals), the value of owning proprietary, structured, LLM-accessible data grows significantly. S&P's investment in Kensho since 2018 gives it a structural head start over pure-data providers who do not have the AI engineering team to build similar APIs.

Indices: MSCI is the primary competitor, with approximately equal brand recognition in institutional markets but different specialization. S&P dominates US equity benchmarks; MSCI dominates non-US and emerging market equity, as well as factor indices (quality, momentum, value, minimum volatility). FTSE Russell, owned by LSEG, is strong in UK equities and has a significant footprint in global multi-asset benchmark construction. Competition for new custom index mandates (for thematic ETFs) is active, with all three parties competing on methodology creativity and licensing terms.

Commodity Benchmarks: Argus Media is the only credible competitor to Platts for crude oil and refined products price assessments in spot markets, and it has successfully won some market share in Middle Eastern crude trading. ICIS leads in petrochemical assessments. In LNG, S&P and Argus compete intensely. However, the sheer depth of existing contract references to Platts assessments in long-term oil supply agreements makes a wholesale shift to alternative benchmarks practically impossible in the near term.

Barriers to entry across the business: At the highest level, the barriers are time and network effects. S&P's most valuable assets - its credit ratings history, its index brand, its price assessment methodology - took 50-100 years to build. A well-capitalized new entrant could acquire a team, a regulatory license, and technology, but cannot acquire the trust of institutional participants who base their fiduciary responsibilities on established references. Scale also matters: S&P invests approximately $1 billion annually in AI and data infrastructure, spending that only becomes sustainable at a scale that new entrants cannot approach.

6. INDUSTRY

S&P Global operates at the intersection of two large and growing industries: financial information services and the broader data economy.

Financial information services includes credit ratings, financial data and analytics, market indices, and financial software. The global credit ratings market is estimated at approximately $7.3 billion in 2025 and projected to reach $13 billion by 2035, reflecting a CAGR of approximately 6.1%. The broader financial data services market is significantly larger, estimated at over $28 billion in 2025 with projections to $59 billion by 2035. Financial market data spending globally has already reached a record $42 billion according to Markets Media's 2024 survey, reflecting growing demand from algorithmic trading firms, risk management functions, and regulatory compliance programs.

Demand drivers: The fundamental driver is the globalization and complexity of capital markets. As more companies from more countries access international bond markets, the addressable market for credit ratings expands. As more assets shift from active to passive management, the embedded revenue in index licensing grows with global equity AUM. As energy transition creates new commodity markets - lithium, carbon credits, renewable energy - Platts has new markets to assess. As private credit displaces bank lending for mid-market companies, demand for independent credit estimates and private market data grows. These are all multi-decade secular trends.

AI as both demand driver and risk: The proliferation of AI tools in financial services is creating new demand for machine-readable, structured, proprietary data - which is exactly what S&P has built over decades. The 35-45% premium pricing some clients are willing to pay for AI-ready data access is evidence of this dynamic. The flip side is that AI could commoditize some analytical tasks that currently require human expertise, reducing demand for certain research subscriptions.

Regulatory environment: The credit rating industry operates under extensive regulation. In the US, the Dodd-Frank Act (2010) established the SEC's Office of Credit Ratings, created enhanced disclosure requirements, and increased liability for inaccurate ratings. Similar frameworks exist in the EU (ESMA-overseen), Japan, and other markets. S&P is registered in 20+ regulatory jurisdictions globally. The regulatory framework has historically been protective of incumbents - the NRSRO designation process is difficult to navigate, and the regulatory requirements create compliance costs that disadvantage smaller players. The post-GFC crackdown on structured finance ratings methodology has required significant investment in methodology documentation and surveillance quality.

Commodity information regulation is lighter touch but Platts assessments are subject to scrutiny from commodity regulators who worry about manipulation. IOSCO established principles for commodity price benchmarks that Platts complies with, and the EU's REMIT regulation covers energy markets. The key risk is that regulators could require Platts to change its methodology for politically sensitive benchmarks (such as crude oil assessments during price spikes), though this has not materialized materially.

Cyclicality: The business is considerably less cyclical than it might appear. Approximately 65-70% of S&P's total revenue is recurring subscription revenue (Market Intelligence, Commodity Insights, non-transaction Ratings, index data subscriptions). Only the transaction component of Ratings (approximately 15-20% of total group revenue) and derivatives volumes in Indices are meaningfully cyclical. During the 2022-2023 period when rising rates crushed bond issuance, Ratings' transaction revenue fell sharply - then recovered strongly in 2024-2025 as issuers rushed to lock in pre-maturity wall refinancings. The 2027-2028 corporate debt maturity wall is a structural tailwind for Ratings transaction revenue over the near term.

Industry structure - global supply chain: S&P sits near the top of the financial information value chain. It is a primary data creator (through ratings, price assessments, and index construction) and a secondary data aggregator (through financial statement collection and normalization). It sells to the institutions - banks, asset managers, trading firms - that operate further down the value chain. It does not compete with its customers; it sells infrastructure to them.

Import dynamics / globalization: The financial information market is not subject to import tariffs but is subject to data sovereignty concerns. Some jurisdictions (EU, India, China) have requirements or incentives to use locally-produced credit ratings or financial data rather than relying on US-based agencies. S&P addresses this in part through its stake in CRISIL (India), which operates as an independent but S&P-affiliated rating agency in the Indian market.

7. GROWTH TRIGGERS

The following are forward-looking triggers stated by management in the four concall transcripts, each cited with its source.

• Private markets data buildout via With Intelligence integration: In Q1 2026, management reported integration of the first tranche of With Intelligence documents into Capital IQ Pro, enabling GPs to identify LP allocation strategies. With Intelligence contributed 6 percentage points to Data Analytics & Insights revenue growth in Q1 2026. Cross-sell to the combined >3,000 With Intelligence client base is in early stages. (Q4 2025 concall, Feb 10, 2026; Q1 2026 concall, Apr 28, 2026 - repeated)

"With Intelligence integration exceeded expectations - linking more than 75% of the fund manager and investor data sets in less than a month and generating over 200 cross-sell opportunities within the first 60 days." - CFO Eric Aboaf, Q4 2025 concall

• Kensho API and AI-ready data premium pricing: Over 300 customers had contracted for Kensho APIs by Q1 2026, with call volumes up 5x quarter-over-quarter. Clients are demonstrating willingness to pay 35-45% renewal increases for AI-access packages. Management is tracking "enterprise value per contract" rather than seat-based metrics to reflect multi-channel AI monetization. (Q1 2026 concall, Apr 28, 2026; Q2 2025 concall, Jul 31, 2025 - AI monetization theme repeated across all four concalls)

"Clients willing to pay 35% to 45% renewal increase for AI access." - CEO Martina Cheung, Q1 2026 concall

• Private Credit ratings expansion - private debt and middle-market CLOs: Ratings Private Credit revenue grew 25% in Q1 2026. S&P's credit estimates have grown from 1,200 in 2021 to over 2,800, tracking middle-market CLO formation. Private markets enterprise revenue within Ratings exceeded $600 million annualized as of Q1 2026. (Q1 2026 concall, Apr 28, 2026; Q3 2025 concall, Oct 30, 2025; Q2 2025 concall, Jul 31, 2025 - repeated across all four)

• 2027-2028 debt maturity wall driving refinancing issuance: Management at Q4 2025 noted that 2026 Ratings guidance assumes "no dramatic pull-forward from 2027-2028 maturity walls," implicitly flagging a multi-year tailwind as corporations that issued at low rates in 2020-2021 must refinance before maturity. This is a structural pipeline for transaction revenue. (Q4 2025 concall, Feb 10, 2026)

• Hyperscaler and AI-infrastructure debt issuance: In Q1 2026, management noted investment-grade issuance benefited from AI infrastructure financing, with hyperscalers raising capital markets debt to fund data center buildouts. This is a new and growing category of investment-grade issuance. (Q1 2026 concall, Apr 28, 2026)

• Enterprise Data Office automation - 20%+ cost reduction target: Management committed to using AI to automate over half of data workflows and achieve 20%+ expense reduction in the Enterprise Data Office by end of 2027. This is a margin expansion mechanism independent of revenue growth. (Q4 2025 concall, Feb 10, 2026)

"Over half of total data workflows are now automated, with targets for 20%+ expense reduction in the Enterprise Data Office by end of 2027." - CEO Martina Cheung, Q4 2025 concall

• SPICE AI Index Builder driving custom index product expansion: The AI tool reduces index creation time from approximately one month to two days. Management noted this is accelerating new client mandates for custom indices. (Q2 2025 concall, Jul 31, 2025)

• Barclays and large enterprise multi-year deals: The Chief Client Office, managing approximately 130 top accounts, secured a multi-year strategic partnership with Barclays involving significant ACV increases. Management mentioned multi-million-dollar deals with 20% and 25% ACV increases closed in Q2 2025, suggesting the enterprise sales model is generating real pricing leverage. (Q2 2025 concall, Jul 31, 2025)

• Mobility Global public listing unlocking capital: The Form 10 for Mobility Global was filed May 7, 2026, advancing the spin-off. The spin-off creates a cleaner capital allocation story for S&P's core financial information business and releases capital currently embedded in the automotive segment. (Q4 2025 concall, Feb 10, 2026; Q1 2026 concall, Apr 28, 2026 - repeated)

• Upstream Titan product launch replacing divested software revenue: A new upstream data product (Titan) was launched at CERAWeek Q1 2026, positioning S&P to replace software revenues being divested with a differentiated data-first product. (Q1 2026 concall, Apr 28, 2026)

• Indices asset-linked fee growth driven by passive AUM accumulation: Management guided 10-12% organic growth for Indices in 2026. With global equity AUM continuing to grow through passive accumulation and new markets adopting ETF structures, asset-linked fees expand without requiring new customer acquisition. (Q4 2025 concall, Feb 10, 2026)

8. KEY RISKS

1. Ratings cyclicality amplified by concentrated revenue: Transaction revenue in Ratings is tied to debt issuance volumes. When interest rates rise sharply or credit markets seize up, issuers postpone refinancings and new issuances, and Ratings' transaction revenue falls with them. This happened in 2022-2023 when rising rates caused global bond issuance to collapse. The mechanism: higher rates reduce the economic value of refinancing, M&A deals dry up eliminating leveraged finance issuance, and uncertainty freezes structured finance markets. While non-transaction revenue and the subscription base provide a floor, Ratings can still swing meaningfully. A return to 2022-style rate shock would hit EPS harder than the headline subscription-heavy mix suggests.

2. Geopolitical shock to market-sensitive businesses: In Q1 2026, CFO Eric Aboaf explicitly flagged this:

"Significant indirect headwinds in market-sensitive businesses depending on equity market reaction and credit market conditions if geopolitical tensions persist."

The mechanism is direct: if equity markets fall 20%+ (as they did in 2022), asset-linked index fees decline because AUM declines, derivatives trading volumes may shift or fall, and confidence-sensitive categories like M&A issuance freeze. A major geopolitical shock - escalation of existing conflicts, a large-economy default, or a systemic financial institution failure - would compress the Indices and Ratings transaction businesses simultaneously. The sanctions on Iran in 2025-2026 have already created a measured headwind in Commodity Insights price assessments.

3. Issuer-pays conflict of interest and regulatory backlash: Credit rating agencies are paid by the issuers they rate. This structural conflict of interest was a central issue in the 2008 financial crisis, when agencies rated complex mortgage-backed securities generously because losing the rating mandate meant losing a fee. Post-Dodd-Frank regulation increased liability for inaccurate ratings and required methodology disclosure. A new wave of structured finance defaults - for example, in CLOs backed by private credit as that market matures - could trigger congressional hearings, increased regulation, or expanded civil liability for S&P Ratings. This is a low-probability but high-severity risk that could result in forced methodology changes, new disclosure requirements, or settlement costs similar to the $1.375 billion the Big Three paid in 2015-2017 related to mortgage-backed securities.

4. Commodity Insights benchmark disruption: Argus Media has actively challenged Platts' methodology for certain crude oil assessments in regulatory forums. If regulators (particularly in the EU or in oil-producing jurisdictions like the Middle East) adopt Argus assessments as the preferred benchmark for new contracts, the self-reinforcing incumbency of Platts begins to erode. The mechanism would be slow - existing contracts continue to reference Platts - but over a 5-10 year horizon, new contract formation shifting to Argus would materially reduce Platts' relevance. This risk is currently modest but is a structural vulnerability in an otherwise moated position.

5. AI disrupting the analytical premium in Market Intelligence: The broader value proposition of Capital IQ Pro is that financial analysts pay for access to processed, normalized, contextualized data that saves them time. If open-source or free AI tools become capable of extracting and normalizing financial data from SEC filings and corporate disclosures at high quality, the marginal value of paying for S&P's pre-processed data declines. This risk is counterbalanced by the proprietary nature of S&P's datasets (Ratings research, With Intelligence private market data, Platts assessments, Visible Alpha sell-side models) - none of which can be replicated by AI scraping public sources. However, the portion of Market Intelligence revenue derived from financial statement aggregation that is available in public filings faces genuine commoditization pressure.

6. Mobility spin-off execution risk: The separation of Mobility Global is a complex multi-jurisdictional transaction involving regulatory filings, capital markets execution (the public debt offering referenced in Q1 2026 is an additional step), and IRS tax-free spin-off status maintenance. Execution failure - a failed IPO market window, a material adverse development in the automotive business, or an IRS challenge to the tax-free structure - would delay or complicate the separation. Management has tied capital allocation and post-spin buyback targets partly to the completion of this transaction.

7. With Intelligence integration and private market data quality: The $1.8 billion acquisition of With Intelligence brought 3,000 clients and a private markets data corpus. If the integration produces data quality issues - inaccurate fund performance benchmarks, incorrect LP allocation data - it could damage client trust in precisely the high-growth private markets segment where S&P is investing heavily. The Q4 2025 concall noted 200+ cross-sell opportunities generated in 60 days, suggesting early momentum, but private market data quality is inherently harder to verify than public market data where audit trails exist.

9. WALK THE TALK

Concall dates used:

1. Q2 2025 - July 31, 2025
2. Q3 2025 - October 30, 2025
3. Q4 2025 - February 10, 2026
4. Q1 2026 - April 28, 2026

The most recent (Q1 2026, April 28) is 11 days before today's date. It qualifies.

Starting with Q2 2025 (July 31, 2025): Management guided full-year 2025 adjusted diluted EPS of $17.00-$17.25, implying approximately 10% growth at the high end. Total revenue growth guidance was 5-7%. The tone was cautiously optimistic but shaped by specific headwinds: Ratings transaction revenue was down 4% in the quarter due to tariff-driven market uncertainty, manufacturing in Mobility was hesitating, and sanctions were creating modest commodity data headwinds. CEO Martina Cheung said plainly that "the issuance environment was negatively impacted by global trade and tariff uncertainty." This was honest hedging rather than optimism.

Cheung also introduced a significant strategic theme - the Chief Client Office and enterprise-wide integrated selling to top 130 accounts - and cited specific deal evidence: multi-year strategic partnership with Barclays with material ACV increases. This was verifiable and specific rather than aspirational. The Mobility separation was announced in April 2025 and management was maintaining a 12-18 month timeline, naming Bill Eager as CEO-designate.

Q3 2025 (October 30, 2025): Management delivered on its guidance and then raised it. The quarter was "the strongest we've ever had" on every headline financial metric - the Cheung quote is worth noting for its confidence. Guidance was raised from 5-7% total revenue growth to 7-8%; EPS guidance was raised to $17.60-$17.85 from $17.00-$17.25.

Two specific guidance outcomes from Q2 are worth tracking. First, the warning about manufacturing hesitancy and tariff impact was real - Mobility Manufacturing did decline 3% in Q3 - but the overall Mobility business still grew 8% because Dealer and Financials segments more than compensated. Second, the guidance for "modest 1-2pp headwind" from sanctions in Commodity Insights was directionally accurate - the division delivered 6% growth despite acknowledged headwinds. The Q3 guidance raise implied management was being conservative in Q2, which is a positive calibration signal.

A notable promise introduced in Q3: the $355 million run-rate synergy target from the IHS Markit merger was achieved ahead of schedule. This target was introduced publicly when the merger was announced in 2020 and reiterated through every subsequent concall. Achieving it three years post-close and approximately one quarter ahead of plan is a material execution delivery.

"This multiyear exercise of portfolio optimization within MI is substantially complete." - Q3 2025 concall

This was a clear commitment to stop scope creep and capitalize the improved profile. In Q1 2026, the divestiture of the Upstream software portfolio (the final piece) was announced, validating the statement.

Q4 2025 (February 10, 2026): Full-year results validated the Q3 raise and then some. EPS for 2025 came in at $17.83, above the raised guidance of $17.60-$17.85, essentially at the top of the prior range. Every division delivered revenue growth within or above its original guidance range. Every division's operating margin came in at or above the high end of original guidance. This is unusually clean performance against guidance across a five-division portfolio.

The one miss: Ratings transaction revenue in Q4 missed analyst expectations (the headline from Investing.com noted "results miss EPS forecast, stock drops"). However, this was a miss versus street consensus, not versus management's own guidance range. Management was clear that full-year Ratings growth came in within its guided range of 2-5%. The gap between management guidance and analyst extrapolation is worth noting - the market expected better, and management's guidance was accurate.

2026 guidance was introduced at $19.40-$19.65 EPS, implying 9-10% growth. This is ambitious but grounded in an explicit structural argument: the 2027-2028 maturity wall provides a known issuance tailwind, AI monetization is generating measurable contract premiums, and the With Intelligence integration is producing cross-sell pipeline.

Q1 2026 (April 28, 2026): The Q1 results tracked the 2026 guidance closely - 10% reported revenue growth and 14% EPS growth in the first quarter is ahead of the 9-10% full-year EPS guide, providing a buffer. Management maintained full-year guidance rather than raising it - the explicit reason given was the Iran conflict creating uncertainty in Energy and the indirect market risk from geopolitical tensions on market-sensitive businesses.

The lowering of Energy guidance by 1 percentage point was the single deviation from previous framing. This is appropriately disclosed and mechanically explained: sanctions disrupted specific price assessment markets, and the recovery is not expected until end of Q3 2026. This is a narrow, explained miss on a sub-segment that management had already flagged as sanction-exposed (first mentioned in Q3 2025, where they identified a $20 million 2026 headwind from sanctions).

"The sanctions created approximately $6 million revenue headwind in 2025 and we expect approximately $20 million in 2026." - Q3 2025 concall

In Q1 2026 this headwind materialized as guided. The tracking is precise.

Assessment: This management team is conservative and accurate in its own guidance. They sandbagged full-year guidance at both Q2 and Q3 2025 relative to what delivered. They acknowledged specific headwinds (tariffs, sanctions, manufacturing) with appropriate specificity and timeline. When they raised guidance, it was based on demonstrated delivery, not aspiration. When they missed (vs. street consensus in Q4 2025), they had actually met their own guidance. The sanctions headwind in Commodity Insights was flagged three quarters before it became visible in reported numbers. This is the profile of a management team that knows its business well and communicates carefully.

One area to watch: the Mobility spin-off has been guided for "Q2 2026 completion." The Form 10 was filed May 7, 2026. If the spin-off slips into H2 2026 due to market conditions or regulatory delays, it would be the first significant schedule slip from this team.

10. SHAREHOLDER FRIENDLINESS INDEX

S&P Global has one of the most consistent and shareholder-friendly capital return programs among large-cap US companies.

Dividends:

S&P Global has increased its dividend for 53 consecutive years as of the Q4 2025 announcement, placing it in a group of fewer than 25 S&P 500 companies with 50+ years of consecutive increases - a cohort sometimes called the "Dividend Kings."

• 2023: $0.90 per quarter, totaling $3.60 per share annually. The payout ratio is approximately 24%, meaning the company pays out roughly a quarter of net income in dividends - conservative and sustainable.
• 2024: $0.91 per quarter, totaling $3.64 per share annually - a 1.1% increase.
• 2025: $0.96 per quarter, totaling $3.84 per share annually - a 5.5% increase, the largest step-up in this window.
• 2026 (Q1 paid): $0.97 per quarter, annualizing to $3.88 per share - 1.0% increase.

The 3-year CAGR on dividends from 2023 to 2026 (annualized) is approximately 2.6%. This is low in absolute terms but reflects a deliberate management choice: the payout ratio is kept modest to preserve maximum flexibility for buybacks, which are the primary vehicle for capital return. The dividend is used to signal stability and institutional-grade commitment to income investors, not to distribute the bulk of earnings.

No special dividends have been declared in this period.

Share Buybacks:

Share repurchases are where S&P Global has been notably aggressive. During 2025, the company repurchased over $5 billion in shares. In Q3 2025, it announced a new $2.5 billion repurchase authorization. In Q1 2026, management raised its annualized share repurchase target to $4.5 billion. For context, in Q3 2025, the company returned approximately $1.5 billion to shareholders since the prior quarter's call, and in Q1 2026 it returned $1 billion (including dividends and buybacks) in a single quarter.

The full-year 2025 shareholder return was 113% of adjusted free cash flow - meaning the company distributed more in dividends and buybacks than it generated in free cash flow, drawing on balance sheet capacity and net proceeds from the OSTTRA divestiture (sold to KKR for $3.1 billion, S&P's share approximately $1.55 billion).

Share count reduction: Buybacks at this scale are reducing the share count meaningfully. With stock-based compensation diluting (typical for a company of this profile) and buybacks more than offsetting it, net shares outstanding have been declining. This is EPS-accretive independent of operating performance.

Sources for this section: S&P Global Investor Relations dividend announcements; Q4 2025 earnings call (February 10, 2026); Q3 2025 earnings call (October 30, 2025); stockanalysis.com dividend history.

11. SCENARIOS

Bull Case

The bull case for S&P Global is a story about three structural tailwinds all accelerating simultaneously.

Private credit has already reshaped the ratings business, but in the bull case it keeps doing so at pace. The $2 trillion in private credit AUM among the top five managers reaches $3+ trillion by 2028 as institutional allocators increase private market weights, and every new CLO, direct lending vehicle, and private placement needs a credit estimate. S&P becomes the de facto independent opinion infrastructure for a new asset class, as it was for structured finance in the 1990s and 2000s - but this time with the benefit of having learned those lessons and built the private markets data stack through With Intelligence and iLEVEL before the market matures.

AI monetization inflects sharply. The 35-45% premium some clients pay for AI-access data packages becomes the norm rather than the exception as financial firms race to build proprietary AI research tools. The Kensho LLM-ready API becomes the standard financial data interface layer for the industry's AI tools, the way Bloomberg's API was the standard 20 years ago. Market Intelligence margins rerate toward Ratings-like levels as the AI delivery model (per-query pricing, consumption-based APIs) scales without linear headcount growth.

The Indices business benefits from a decade of global passive investing compounding. Global equity AUM grows through contributions, market returns, and the continued adoption of ETF structures in emerging markets. Thematic and custom indices - created in two days by the SPICE AI builder - generate a higher fee rate than plain-vanilla benchmarks. Revenue in Indices grows at double-digit rates compounding.

With Mobility separated and surplus capital redeployed into buybacks and a targeted tuck-in in private markets data, the four remaining divisions run at increasing scale, margin, and capital efficiency. S&P in the bull case looks like a financial infrastructure company whose competitive position strengthens rather than weakens with every year of asset accumulation.

Base Case

The base case is steady compounding with manageable friction.

Ratings grows in line with the 4-7% guidance range. The 2027-2028 maturity wall provides a visible issuance pipeline through 2027. Private credit ratings grow at 20%+ but off a base that represents roughly 10% of the total Ratings segment, so the overall division grows in line with public market issuance trends - cyclically variable but averaging mid-single-digits annually. Non-transaction revenue continues to grow at high single digits, absorbing transaction volatility.

Market Intelligence compounds at 6-8% organic growth, driven by net renewal rate improvement, With Intelligence cross-sell, and AI premium pricing on renewals. Margins continue to expand modestly as the workforce automation program delivers on its 20%+ cost reduction target in the Enterprise Data Office by end of 2027. The segment reaches Ratings-like margins over a 3-4 year horizon.

Indices delivers 10-12% growth driven by the secular passive shift and modest AUM growth. Commodity Insights navigates the Upstream software divestiture cleanly and emerges as a smaller, higher-margin business focused on price assessments and energy analytics. Mobility Global completes its spin-off in mid-2026 without incident. The remaining four-division company returns $4-4.5 billion annually to shareholders through buybacks and a steadily growing dividend, compounding shareholder value at a pace consistent with the last five years.

Risks are real but bounded: one Ratings cycle down is absorbed by subscription revenue; one market correction reduces Index AUM temporarily before recovering.

Bear Case

The bear case is a combination of macro shock and competitive erosion arriving at the same time.

A sharp, sustained rise in interest rates - driven by persistent inflation or a fiscal credibility crisis - crushes bond issuance for two to three years, similar to 2022-2023 but deeper. Ratings transaction revenue declines materially. Simultaneously, AI tools commoditize a meaningful portion of Market Intelligence's financial statement aggregation, causing renewal rates to stall as clients discover that LLMs can extract and normalize public filing data well enough for their needs. The premium pricing narrative for AI-ready data proves more selective than management hopes - large institutions pay up, but the long tail of smaller clients churns.

Argus Media successfully positions itself as the preferred benchmark for Middle Eastern crude in new contracts, beginning a decade-long erosion of Platts' market share in physical oil. The revenue impact is small at first but directionally concerning for the asset that has historically been considered unassailable.

On the capital allocation side, the Mobility spin-off is delayed into late 2026 or early 2027 by market conditions, tying up management attention and delaying the capital return acceleration that was assumed in consensus estimates. The With Intelligence integration produces some data quality issues that require remediation and delay cross-sell conversion.

None of these individually is catastrophic for a company generating the kind of operating leverage S&P has built. But arriving together - ratings cycle down, terminal churn up, benchmark competitive pressure emerging, capital return delay - they produce a compressing valuation story where a market multiple contraction happens at precisely the moment earnings are flat or declining. The bear case for S&P Global is less about structural impairment than about a multi-year period of elevated uncertainty during which the narrative of inevitable compounding is interrupted.

Sources:

• S&P Global Q1 2026 Earnings Transcript - The Motley Fool
• S&P Global Q4 2025 Earnings Transcript - The Motley Fool
• S&P Global Q3 2025 Earnings Call Slides - SEC/Q4CDN
• S&P Global Q4 2025 Earnings Release - S&P Global IR
• S&P Global Annual Report 2025
• S&P Global Wikipedia
• S&P Global Completes With Intelligence Acquisition
• Mobility Global Spin-Off Form 10 Filing
• S&P Global SPGI Dividend History - Stock Analysis
• S&P Global Introduces CreditCompanion
• Credit Rating Market Size and Growth
• Financial Market Data Spending - Markets Media
• S&P Global Merger with IHS Markit Completed
• S&P Global Q1 2026 Highlights - GuruFocus
• Q4 2025 Earnings Call - Investing.com