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I need differentiated data to make informed decisions.

Not all data is created equal. Comprehensive and consistently reliable, our datasets give you history, point-in-time, sector-specific, and real-time insights—compiled from millions of hard-to-get, multinational sources.

Financial data that powers decisions

With global data coverage, our insights spread across the companies and sectors that matter most: macroeconomics and policy, financial institutions, insurance, healthcare, real estate, consumer, energy, metals and mining, technology, media and telecommunications, and more. We synthesize breaking news, comprehensive market intelligence, and analytics so you can make decisions with conviction.


Access 4M+ companies, 20+ years of ratings, and 900,000+ transactions. Make data-driven decisions with confidence.

  • Analytically Adjusted Financials
  • Default and Recovery
  • Scores and Probability of Default
  • RatingsDirect®
  • Corporate Yield Curves
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Standardize with consistent line-by-line financial statement data.

Improve the clarity, consistency, and comparability of credit risk analysis with pre-adjusted and post-adjusted financial statement data from S&P Global Ratings.

Support the evaluation of credit quality and improve efficiency with credit-adjusted financial statement information on 3,400+ Corporates and 900+ Financial Institutions rated by S&P Global Ratings.


Generate rates with data built on 30+ years of S&P Global Ratings’ Research.

Enhance the rigor and veracity of your credit risk assessments by integrating rating transition matrices and default and recovery rates that reflect your specific portfolio and risk management requirements.

30 years of S&P Global Ratings’ rating experience and research captures the performance of 15,000+ companies, 175,000+ debt instruments, 200,000+ structured finance tranches, and 175+ sovereign entities across the globe.

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Access a database of 648,000+ companies with pre-calculated credit and probability of default scores.

In today's complex markets the credit health of your counterparties and investments evolves constantly. Your ability to reliably score and efficiently monitor potential risk exposure to the rated and unrated universe needs to not only keep up, but surpass the pace of change.

Use global market- and fundamental-based credit views to holistically assess your credit risk exposures. Incorporate credit risk benchmarks into your processes at the country, industry, and S&P Dow Jones Index level. Provide relative context to individual scores and monitor trends over time.

Learn More About Scores and Probability of Default

The official desktop source for S&P Global Ratings.

As the official desktop source for credit ratings and research from S&P Global Ratings, combined with additional market intelligence and risk indicators, RatingsDirect® helps you research, chart, and analyze credit performance and trends across industries, companies, and securities.

Enhance your analysis with aggregated intelligence at the sector, sub-sector, industry, and portfolio level - including 20+ years of ratings history spanning 84,000+ securities across 9,400+ companies; 11,900+ structured finance deals; and 686,000+ U.S. Public Finance debt issues. As of January 1, 2019.

Ratings data is available via RatingsDirect®, on our desktop platform, mobile apps, Excel Plug-in, and via Xpressfeed, our powerful data feed management solution.

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Credit term structures across three currencies, seven ratings, and every GICS® sector.

Reliably value and monitor debt, perform discounted cash flow valuations, and execute transfer pricing and accounting analysis. Easily view your desired curves with data utilizing thousands of bond prices updated daily by sector, rating, and currency.

Our Corporate Yield Curves offer broad and consistent coverage of credit term structures (1 month – 30 years), across three currencies ($, €, £), every GICS® sector (non-financial corporates, investment grade and high yield), and seven ratings (AAA – CCC).

Corporate Yield Curves are available on our S&P Capital IQ platform and Excel Plug-in.

Learn More About Our Corporate Yield Curve Solution

Discover essential sector-focused news, research, and macroeconomic data.

Quality data from our S&P Global, S&P Capital IQ, SNL, and Compustat collections fuels everything at S&P Global Market Intelligence. We take it further with research by in-house analysts who support and build customizable reports for our clients, such as proprietary aftermarket research and real-time research. We play a vital role in providing the data you need to make decisions.


We're not your typical news outlet. Go beyond basic news, and experience news that directly incorporates analytics.

  • GICS®
  • Compustat®
  • Cross Reference Services
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Gain transparency into sector-based investing with GICS®.

Jointly Developed by S&P Global and MSCI

Meeting the global financial community's need for one complete, consistent set of global sector and industry definitions, GICS® has become the standard widely recognized by market participants worldwide. Organize sell-side research and industry reporting without geographic limitations. Effectively identify niche findings in emerging markets.

GICS® Direct
In an ever-flattening world marketplace, you need an edge. GICS® Direct is your powerful resource to determine whether stock movements are locally based or part of a broader macro trend.

GICS® History
Assist your statistical analysis, back-testing, and historical performance attribution. Data includes historical company-level GICS® codes and descriptions, company name, and common identifiers.

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Standardized, historical and point-in-time data

Leverage Compustat® for enhanced research and insightful analysis:

  • Unlock alpha and enhance your analysis with deep historical data that lets you research companies across numerous economic cycles and regimes.
  • Avoid survivorship bias in your analysis with dedicated corporate actions entity management.
  • View true point-in-time analysis that helps you understand available data as of a given point in time to avoid look ahead bias.
  • Access over 5,000 data items including supplemental items, and leverage highly standardized data for consistency and comparability across companies and items over time.

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Get the essential reference picture for concentration, market exposure, and risk.

Discover essential cross reference services:

BECRS: Business Entity Cross Reference Service
Help improve operational efficiencies, manage counter-party risk, assist with client onboarding, and manage investment restriction guidelines.

ISCRS: Industry Sector Cross Reference Services
Use extensive company-level classification linking for GICS®, ICB Sector Classification, Standard Industrial Classification, and more.

GICRS: Global Instruments Cross Reference Services
Access a deep database of global security identifiers cross referencing 57M+ instruments for reliable linking capabilities.

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Access the universe of Market Intelligence data.

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Client case studies

  • Generate Alpha from Earnings Call Transcripts
  • Enhance your IRB Model with comprehensive data
  • Transform Stale Data into Vital Insight
  • Automate Due Diligence
  • Industry-Leading Estimates

An Alternative Investment Team Harnesses Textual Data Analytics to Find New Sources of Alpha

This Swiss-based investment management firm specializing in alternative investing, with $95B AUM, sought to leverage natural language processing (NLP) to extract valuable insights from earnings call transcripts.

The investment team was looking to find a trusted provider that could collect, transcribe, and if necessary, translate a vast number of earnings calls from countries around the world and then apply a sophisticated NLP technology to obtain unbroken time series for the relevant sentiment and behavioural metrics

They subscribed to S&P Global's Textual Data Analytics package, which provides 800+ NLP-derived sentiment and behavioral metrics for finding investment signals. This allowed them to integrate earnings call transcript scores seamlessly into their existing investment framework, in a structured format.  The scores are delivered within 90 minutes after the end of the earnings call which enables the investment team a timely reaction to any unexpected news.

Read full case study

A Bank Enhances Its IRB Model for Basel Regulations

Under the Basel regulatory guidelines, banks are permitted to use their own estimated risk parameters for the purpose of calculating regulatory capital. This is known as the internal ratings-based (IRB) approach for credit risk.

A large European bank wanted to enhance their IRB model for their corporate loan portfolio ahead of the 2024 submission, so they sought a solution that would provide:

  • Standardized global financial statement data for active and inactive public companies.
  • Extensive data on private companies
  • The ability to seamlessly link data to a corporate hierarchy to tie common entities together.
  • Efficient delivery of all the information to their internal system.

They decided to subscribe to S&P Global Market Intelligence's comprehensive financial datasets for both public and private companies, plus unique mapping capabilities that would save hours of work by automating the data linking process.

By automating the data linking process and efficiently delivering the information to their internal system, this solution provided the credit risk team with significant time savings, and provided them easy access to reliable financial data, ultimately leading to an enhanced IRB model.

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A Large Bank Transforms Stale Payments Data into Vital Insight

A major bank's Data Science and Artificial Intelligence team faced the challenge of turning vast but messy payments data into a valuable asset.

The data was amassed by the back-office payments team, containing 50 to 75+ million records, often stored in CSV files. This data proved messy and unstructured, riddled with spelling errors, various company name formats, partial addresses, URL inconsistencies, and more.

The challenge was two-fold: first, to cleanse, standardize, and connect this data for cross-selling opportunities, and second, to prove its worth. They decided to use Kensho Link, a machine learning-based solution to systematically cleanse and standardize the data through a common S&P Capital IQ entity-level identifier. This created a single master hierarchy file, linking disparate data feeds.

The testing phase was a success, with Kensho Link's logic producing reliable results. The bank embraced the solution, benefiting from automation in data consolidation and validation. They could process thousands of records efficiently and scale for anticipated data growth. The standardized profiles supported the bank's cross-sell initiatives, and data feeds were consolidated for high-quality reference data across asset classes.

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A Private Equity Firm Automates Due Diligence to Stay Ahead of the Curve

This tech-focused private equity firm wanted to complement their existing access to data and improve their internal due diligence applications to better compete for dealflow.

The firm's data science team turned to S&P Global Market Intelligence for a solution that would provide them with faster access to extensive financial data on publicly traded companies, real-time financial forecasting measures, and the ability to leverage data in their internal due diligence applications in a more automated manner.

Our API solution, coupled with premium financials and estimates data, enabled the team to quickly ingest data, perform deep dives on the attractiveness of public companies, and have access to specialists when needed.

The result? A more efficient, automated way of evaluating deals that helps the firm capture dealflow in a highly competitive market.

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Industry-Leading Estimates Upgrade Stakeholder Reporting

The Investor Relations (IR) team at a leading U.S. airline, responsible for communicating the company's financial performance and investment plans to investors and stakeholders, sought to enhance their reporting and presentations.

They previously relied on consensus estimates, obtained through individual brokerage relationships, which proved cumbersome. Their goal was to access more comprehensive, real-time data to better gauge market sentiment and sharpen their reports. They needed standardized global financial forecasting measures, industry-specific metrics, and the ability to analyze evolving market expectations.

Turning to S&P Global Market Intelligence, the IR team discovered the S&P Capital IQ Estimates dataset which had recently been expanded to include over 60 industry-specific operating forecasts across 14 key sectors, including airlines.

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