Data Analytics Oligopoly: S&P Global, MSCI, and Verisk's Information Monopoly

The Information Monopolies Hiding in Plain Sight

There is a handful of companies that sit at the center of global finance, collecting tolls on virtually every investment decision made by every institution on the planet. They are not banks. They are not asset managers. They are the companies that produce the data, ratings, indices, and analytics that banks and asset managers cannot operate without. And their economics are extraordinary.

S&P Global, MSCI, Verisk, Moody's, and FactSet collectively operate what amounts to a distributed monopoly across financial data and analytics. Each company dominates a specific niche — credit ratings, equity indices, ESG scoring, insurance analytics, financial terminals — with competitive positions so entrenched that meaningful market share shifts have not occurred in decades. Customer retention rates routinely exceed 90%, and in some product lines approach 97–98%. These are not sticky products in the way that enterprise software is sticky. They are load-bearing infrastructure that the entire financial system rests on.

What makes these businesses fascinating from an investment perspective is the combination of structural growth, pricing power, and capital efficiency. Subscription revenue accounts for 80% or more of total sales. Incremental margins are 60–70% because the marginal cost of serving an additional data subscriber is approximately zero. And they require almost no capital expenditure — you are buying intellectual property, not factories. The result is free cash flow conversion rates that most industries can only dream of.

S&P Global: The Apex Predator After the IHS Markit Merger

A Platform That Covers Everything

S&P Global is the closest thing to a financial data monopoly that exists. After completing its $44 billion acquisition of IHS Markit in February 2022, the company now operates across five segments: S&P Global Ratings (credit ratings for $3.6 trillion in annual issuance), S&P Global Market Intelligence (data and analytics for 50,000+ institutions), S&P Dow Jones Indices (benchmarks tracking $16 trillion+ in assets), S&P Global Commodity Insights (Platts benchmarks used in 80%+ of global commodity contracts), and S&P Global Mobility (automotive data inherited from IHS Markit).

The IHS Markit merger was transformative. Before the deal, S&P Global had world-class credit ratings and index businesses but limited exposure to fixed income analytics, OTC derivatives pricing, and energy data. Markit filled every gap. The combined entity can now offer a single subscription that covers equities, credit, commodities, and derivatives — a bundle that no competitor, not even Bloomberg, can fully replicate. Management has guided to $600 million in annual cost synergies (largely achieved) and $350 million in revenue synergies from cross-selling, with the latter still ramping through 2026.

What the market sometimes underappreciates is the compounding effect of the data network. As S&P Global adds more datasets, each existing customer has more reason to consolidate spending on the platform, which generates more revenue to invest in additional datasets, which attracts more customers. This flywheel is nearly impossible to replicate because it requires both the data assets (accumulated over decades) and the distribution network (30,000+ institutional relationships) simultaneously.

MSCI: The Company That Decides What Counts

Index Licensing and the Passive Investing Flywheel

MSCI is arguably the purest toll-road business in financial services. The company does three things: it constructs equity indices that define investable universes for institutional investors, it provides ESG ratings that increasingly determine capital allocation, and it sells analytics tools for portfolio construction and risk management. Each of these businesses has a structural moat that deepens over time.

The index business is the crown jewel. Approximately $6 trillion in assets directly track MSCI indices, and an estimated $16 trillion is benchmarked to them. Every dollar that flows into an MSCI-linked ETF or index fund generates a licensing fee for MSCI — typically 2–3 basis points annually on the fund's AUM. As passive investing's share of global equity assets continues to grow (it now exceeds 50% in the U.S. and is rising quickly in Europe and Asia), MSCI's fee base grows automatically. The company does not need to sell anything. It just needs passive investing to keep growing, which it has done consistently for two decades.

The network effect here is subtle but powerful. When MSCI adds or removes a stock from an index, billions of dollars in passive flows automatically adjust. This makes MSCI index inclusion a material event for companies — more material, in some cases, than quarterly earnings. Active managers must track MSCI indices even if they do not replicate them, because index rebalancing moves prices. This relevance reinforces demand for MSCI data, which reinforces MSCI's position as the standard, which makes its indices even more relevant. A new entrant cannot break this cycle because it cannot replicate the trillions of dollars already committed to MSCI benchmarks.

ESG Ratings: Controversial but Embedded

MSCI's ESG ratings business has attracted significant controversy — accusations of inconsistency, lack of transparency, and political bias. Yet the business continues to grow because regulatory mandates, particularly in the EU under SFDR (Sustainable Finance Disclosure Regulation), increasingly require institutional investors to report on ESG characteristics of their portfolios. MSCI is one of three dominant ESG ratings providers alongside Sustainalytics (owned by Morningstar) and ISS. Regardless of whether ESG ratings are conceptually sound, they have become a compliance requirement, and compliance requirements generate recurring subscription revenue.

Verisk: The Quiet Monopoly in Insurance Analytics

Verisk is the least talked about member of this oligopoly, which is precisely what makes it interesting. The company provides data analytics to the property and casualty (P&C) insurance industry, a sector where data quality directly determines profitability. Verisk's core business rests on a simple but enormously valuable asset: the ISO (Insurance Services Office) database, which contains loss cost data contributed by the vast majority of U.S. P&C insurers over the past several decades.

Here is why this matters. Insurance pricing is fundamentally a data problem. To price a homeowners policy in coastal Florida, an insurer needs granular data on historical claims, catastrophe frequency, construction costs, building code compliance, and dozens of other variables. Verisk aggregates this data from across the industry — its contributors include insurers representing approximately 90% of the U.S. P&C market — and sells it back as standardized loss costs, predictive models, and underwriting analytics. An individual insurer cannot replicate this dataset because it only sees its own claims. Verisk sees the entire industry.

After divesting its energy and financial services divisions in 2022–2023 to focus purely on insurance analytics, Verisk has become a cleaner, higher-margin business. Operating margins now exceed 50%, organic revenue growth runs at 7–9% annually, and customer retention exceeds 98%. The business is effectively a cooperative utility for the insurance industry, but one that generates private-sector profit margins. Every new insurance product, every new catastrophe model, every new regulatory requirement creates incremental demand for Verisk's data.

Financial Data Oligopoly: Head-to-Head Comparison

Moody's and FactSet: The Other Two Pillars

Moody's: The Other Half of the Ratings Duopoly

Moody's Corporation operates two segments: Moody's Investors Service (MIS), the credit ratings business that shares the regulatory duopoly with S&P Global Ratings, and Moody's Analytics (MA), a fast-growing data and software business that competes with S&P Market Intelligence and FactSet. The MIS ratings business generates 55–60% operating margins on transaction-based revenue tied to bond issuance. The MA business generates 30–35% margins on subscription revenue growing at 10%+ organically.

Moody's investment thesis is straightforward: it participates in the same regulatory duopoly as S&P Global Ratings while building a complementary analytics business that provides recurring revenue ballast during periods of low debt issuance. The company has invested aggressively in AI-powered credit analytics, including tools that can summarize bond indentures, flag covenant changes, and predict ratings transitions. This is a natural application of AI — processing vast amounts of structured and unstructured text to extract credit-relevant signals — and Moody's massive historical database gives it a training data advantage that startups cannot match.

FactSet: The Analyst's Workbench

FactSet occupies a different niche from the others in this group. It is primarily a financial terminal and analytics platform that competes with Bloomberg Terminal, S&P Capital IQ, and Refinitiv (now part of the London Stock Exchange Group). FactSet's strength is on the buy side: portfolio managers, research analysts, and quantitative investors who need a single platform for financial data, screening, modeling, and portfolio analytics. With 95%+ subscription revenue and annual client retention above 95%, FactSet exhibits the same sticky, recurring dynamics as its larger peers.

The knock on FactSet has always been its position as a smaller player competing against Bloomberg's overwhelming market presence. But FactSet has carved out a defensible niche by offering superior integration with buy-side workflows — portfolio management systems, order management platforms, and compliance engines. Its open API architecture makes it easier to embed FactSet data into proprietary investment processes than Bloomberg, which has historically operated as a more closed ecosystem. At 30x forward earnings, FactSet trades at a discount to the group, reflecting its narrower moat but still-attractive compounding profile.

Why 40%+ Operating Margins Are Sustainable, Not Anomalous

Investors sometimes look at operating margins above 40% and assume they must revert to the mean. In the case of data and analytics companies, the margins are the mean — the natural steady-state of a business where the marginal cost of serving an additional customer is nearly zero and pricing power is reinforced by regulatory requirements and workflow embedding.

The cost structure of these businesses is fundamentally different from most industries. The primary expense is people: analysts who maintain ratings, researchers who construct indices, data engineers who process and clean information feeds. But once the data is collected and the models are built, delivering that data to one customer or ten thousand customers costs approximately the same. This creates operating leverage that compounds as revenue scales. S&P Global's incremental margins on its subscription businesses regularly exceed 70%. MSCI has expanded operating margins from 40% in 2015 to 55%+ in 2025 — not through aggressive cost cutting, but through revenue growth outpacing headcount growth by a wide margin.

Capital expenditure requirements are minimal. These companies do not build factories or maintain heavy physical infrastructure. Annual capex typically runs at 3–5% of revenue, compared to 15–25% for semiconductor companies or 30%+ for cloud infrastructure providers. The combination of high margins, low capex, and recurring revenue translates to free cash flow conversion rates of 85–95% of net income — cash that flows directly to share buybacks, dividends, and bolt-on acquisitions that further strengthen the data platform.

The Bear Case: Regulatory Risk, Alternative Data, and Passive Investing Backlash

Ratings Agency Conflicts of Interest

The issuer-pays model at the heart of the credit ratings business contains an inherent conflict of interest: the companies being rated are the ones paying for the rating. This conflict was exposed dramatically during the 2008 financial crisis, when S&P and Moody's assigned AAA ratings to mortgage-backed securities that subsequently defaulted. Regulatory reforms under Dodd-Frank increased oversight but did not fundamentally alter the business model. The EU has been more aggressive, exploring requirements for mandatory rotation of ratings agencies and supporting the development of a European Credit Rating Agency to reduce dependence on the American duopoly.

We take this risk seriously but note that regulatory attempts to break the ratings duopoly have been underway for 15+ years without materially impacting S&P or Moody's market share. The structural advantages — historical default data, global coverage, institutional acceptance — are simply too deep. Any new entrant would need decades to build a comparable track record, and investors would be reluctant to accept ratings from an untested agency for bonds they plan to hold for 10–30 years.

Alternative Data and AI Disruption

The proliferation of alternative data sources — satellite imagery, credit card transaction data, web traffic analytics, social media sentiment, geolocation data — theoretically reduces the marginal value of traditional financial datasets. If a hedge fund can predict a company's revenue using credit card data before the earnings release, does it still need S&P Capital IQ's consensus estimates? If AI can assess credit risk from public filings and market data, does it still need a Moody's rating?

The answer, for now, is yes. Alternative data supplements traditional data; it does not replace it. Regulatory frameworks still reference credit ratings, index benchmarks, and standardized data feeds. More importantly, the incumbents are acquiring alternative data capabilities aggressively. S&P Global acquired Kensho (AI for financial analytics), MSCI acquired Carbon Delta (climate risk data) and Burgiss (private assets data), and Verisk has integrated satellite imagery and IoT data into its catastrophe models. The incumbents have both the financial resources and the distribution networks to absorb alternative data innovation rather than be disrupted by it.

The Passive Investing Backlash

Index providers like MSCI and S&P Dow Jones Indices benefit directly from the growth of passive investing. But passive investing is not without critics. Concerns about market concentration (the “Magnificent Seven” comprising 30%+ of the S&P 500), price distortion from index-inclusion effects, and the concentration of corporate governance power in the hands of three index fund managers (BlackRock, Vanguard, State Street) have attracted regulatory attention. If policymakers were to impose restrictions on passive fund growth or mandate changes to index construction methodologies, it could slow the growth of index-linked AUM that drives licensing revenue.

We view this as a tail risk rather than a base-case scenario. Passive investing has delivered demonstrably better outcomes for retail investors than active management, and any regulation that restricted it would face enormous political opposition. More likely is incremental regulation around index governance and transparency, which the major index providers can accommodate without material impact to their business models.

Valuation: Paying a Premium for Compounding Machines

None of these stocks are cheap on traditional metrics. S&P Global and Moody's trade at approximately 33x forward earnings. MSCI commands a 42x multiple. Verisk sits at 38x. FactSet, the value play of the group, still trades at 30x. These valuations reflect the market's recognition that these are among the highest-quality business models in public equities — and quality rarely goes on sale.

The question for investors is not whether these are great businesses (they are) but whether the current prices offer adequate returns over a 3–5 year horizon. At 33x earnings, S&P Global needs to compound EPS at 12–15% annually to deliver a 10%+ total return (assuming the multiple remains stable). Given the company's 8% organic revenue growth, margin expansion from IHS Markit synergies, and consistent share buybacks, this is achievable but leaves limited room for execution missteps or multiple compression. MSCI at 42x requires even faster compounding — 15%+ EPS growth — which is plausible given the passive investing tailwind but prices in a lot of optimism about ESG and private-assets revenue acceleration.

For investors building a long-term position, we would suggest dollar-cost averaging rather than going all-in at current levels. These stocks tend to pull back 15–20% during risk-off periods (rising rate scares, recession fears, debt issuance slowdowns) because their transaction-linked revenue segments are cyclical even if the subscription businesses are not. Those pullbacks are usually buying opportunities. A patient investor who accumulates S&P Global at 28–30x or MSCI at 35–38x will likely be rewarded over a 5–10 year holding period.

Frequently Asked Questions