Interview Questions159

    Market Data and Financial Information Services

    S&P Global, MSCI, FactSet, and Bloomberg. The high-margin, highly recurring data business model and why these companies command premium valuation multiples within FIG.

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    7 min read
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    1 interview question
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    Introduction

    Financial data and information services companies sit at the intersection of technology and financial services, providing the pricing data, analytics, indices, credit ratings, and research that institutional investors, banks, asset managers, and corporates rely on to make decisions. These businesses generate some of the highest-quality revenue in the entire financial services landscape: recurring subscriptions, high gross margins (70-85%), exceptional client retention (90%+ renewal rates), and deep workflow integration that creates substantial switching costs.

    S&P Global generated $15.3 billion in revenue in 2025 (7.9% YoY growth). Bloomberg generated $15 billion in 2024. MSCI derived 55.9% of its 2024 revenues from recurring index subscriptions. These are not transactional businesses subject to market cycle volatility; they are mission-critical infrastructure providers with SaaS-like economics. For FIG bankers, financial data companies generate deal flow through mega-M&A (S&P Global/IHS Markit at $44 billion, LSEG/Refinitiv at $27 billion), strategic advisory, and capital markets activity.

    The Major Financial Data Companies

    S&P Global

    S&P Global is the largest diversified financial data company, operating across four segments:

    Ratings ($4.37 billion in 2024 revenue): the credit rating business, part of the ratings agency oligopoly with Moody's and Fitch. Revenue is driven by debt issuance volume (more bonds issued = more ratings fees).

    Market Intelligence ($4.65 billion, growing to $4.92 billion in 2025): financial data, analytics, and research delivered through the Capital IQ platform. This segment provides company financials, credit analytics, news, and research to banks, asset managers, and corporates.

    Indices ($1.63 billion): licensing the S&P 500, S&P Dow Jones, and other index families to ETF providers, asset managers, and derivatives exchanges. Index revenue is driven by AUM in index-linked products (ETFs, index funds) and derivatives volume.

    Commodity Insights and Mobility: energy market data (Platts), automotive data, and transportation analytics.

    Bloomberg

    Bloomberg generated $15 billion in revenue in 2024, primarily through the Bloomberg Terminal, which is the dominant platform for fixed income trading, capital markets research, and financial news. With approximately 350,000 terminal subscriptions (at roughly $24,000-25,000 per user annually), the Terminal alone generates approximately $8-9 billion in annual recurring revenue. Bloomberg's business model is the purest expression of the financial data value proposition: a deeply embedded, mission-critical workflow tool with near-zero voluntary churn.

    MSCI

    MSCI is the dominant provider of equity and ESG indices, risk analytics (RiskMetrics, Barra), and portfolio construction tools. MSCI derived 55.9% of its 2024 revenues from its Index segment, with the majority from annual recurring subscriptions tied to AUM in MSCI-linked products. MSCI indices are the benchmark for international equity investing: MSCI EAFE, MSCI Emerging Markets, and MSCI World are the reference indices for trillions in passive and active mandates.

    FactSet

    FactSet provides financial data and analytics to investment professionals, with a 28.5-year track record of 19% compounding returns since its 1996 IPO. FactSet competes primarily with Bloomberg and S&P Capital IQ for investment banking, equity research, and portfolio management workflow.

    Company2024/2025 RevenueKey SegmentRevenue Quality
    S&P Global$15.3B (2025)Ratings, Market Intelligence, IndicesHigh recurring, diversified
    Bloomberg$15B (2024)Terminal subscriptionsExtremely high recurring
    MSCIMajority index-linkedIndices (55.9% of revenue)AUM-linked recurring
    FactSetGrowingData & analytics platformSubscription-based recurring
    Verisk$3.1B (TTM)Insurance analytics, data80%+ recurring
    Financial Data Moat: Workflow Embeddedness

    The competitive moat of financial data companies is not primarily about the data itself (much financial data is theoretically available from multiple sources) but about workflow embeddedness: the degree to which the data platform is integrated into the client's daily operational processes. A Bloomberg Terminal is not just a data source; it is the communication system (Bloomberg messaging), the trade execution platform, the research aggregation tool, the news feed, and the compliance monitoring system for hundreds of thousands of financial professionals. Switching from Bloomberg to a competitor would require retraining thousands of employees, rebuilding integrative workflows, and accepting temporary productivity loss. Similarly, S&P Capital IQ's data feeds are directly integrated into bank and asset manager financial models, pitch books, and CRM systems. This workflow embeddedness creates retention rates above 90% and allows pricing power (annual price increases of 3-5% with minimal churn). For FIG analysts, workflow embeddedness is the key qualitative factor in financial data company valuation: it explains why these businesses command 20-30x+ earnings multiples despite moderate revenue growth rates.

    The competitive landscape in financial data is intensifying despite the high barriers to entry. Alternative data providers (satellite imagery, web scraping, social media sentiment, transaction data) are supplementing traditional financial data with non-traditional signals that quantitative and AI-driven investment strategies demand. Cloud-native analytics platforms are challenging the on-premise delivery model that Bloomberg and FactSet built their businesses around. However, the workflow embeddedness of the incumbents remains a formidable barrier: even when alternative data sources emerge, they are typically consumed through existing platforms (Bloomberg, Capital IQ, FactSet) rather than displacing them.

    The index business has global implications. MSCI's indices are the benchmark for international equity investing, with MSCI EAFE, MSCI Emerging Markets, and MSCI World defining how trillions in cross-border capital are allocated. FTSE Russell (owned by LSEG) provides indices for UK and global markets. STOXX (owned by Deutsche Börse) provides euro-area benchmarks. S&P Dow Jones dominates US equity indexing. For FIG bankers advising on asset management transactions, the index relationships are critical: an ETF provider's revenue depends on the AUM tracking a licensed index, and any change in index methodology or licensing terms directly affects the fund's economics.

    Financial data and information services companies occupy a privileged position within the FIG universe: they provide the infrastructure that financial institutions cannot operate without, generate the highest-quality recurring revenue in the sector, and command premium valuations that reflect their SaaS-like economics. For FIG professionals, these businesses are both advisory clients (mega-M&A transactions like S&P/IHS Markit) and essential tools (Capital IQ, Bloomberg Terminal) used daily in the practice of investment banking itself.

    Interview Questions

    1
    Interview Question #1Medium

    Why is data and analytics revenue becoming increasingly important for exchange operators?

    Exchange operators have been strategically shifting their revenue mix toward data and technology services:

    ICE: ~50% of revenue from Fixed Income and Data Services (including the Refinitiv acquisition by LSEG and ICE's own mortgage technology platform). CME: Market data revenue of $710 million in 2024, growing steadily. Nasdaq: Has transformed into a "technology company that happens to run exchanges," with substantial revenue from market surveillance, anti-financial crime technology, and index licensing.

    Why data revenue is valuable:

    1. Recurring and subscription-based. Unlike transaction revenue (which varies with volume), data subscriptions provide predictable, contractual revenue.

    2. High margins. Data products have near-zero marginal cost once created. Incremental subscribers are almost pure profit.

    3. Pricing power. Proprietary market data (real-time pricing, trade data, analytics) has few substitutes. Exchanges can raise data fees annually.

    4. Less volatile. Data revenue is stable through market cycles. Even when trading volume declines, firms still need market data.

    5. Higher multiple. The market assigns higher multiples to recurring data revenue than to transaction revenue, so increasing the data share of revenue expands the blended multiple.

    This strategic shift explains major M&A deals: LSEG's acquisition of Refinitiv for $27 billion and ICE's acquisition of Black Knight for $11.9 billion (mortgage data and technology) were both driven by the desire to add data and analytics capabilities.

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