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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.
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.
Our legacy is built on a foundation of accurate and differentiated data, delivered seamlessly to critical workflows. Accelerate your decision-making with timely data that delivers deep industry, fundamental and alternative insights.
Timely, industry-leading sets of point-in-time and restated fundamental data with content from SNL industry fundamentals, S&P Capital IQ fundamentals, and Compustat.®
Get transparency with one-click consensus and analyst-level detail on thousands of records.
Explore 45,000+ public and private companies. Historicals, peer comparison, and much more.
Research new investments, find M&A targets, and monitor companies and counterparties.
Access M&A and financing transaction data covering the most active markets in the world.
Get essential insight on 7.3M+ executives, board directors, and investment professionals.
Global data on dividends, distributions, and actions for 1M+ equity securities.
Tap into 435,000+ events and 8,300+ transcripts provided each year and get the essential. View Brochure.
Go deep with detailed industry data using SNL Sector Financials, broad leveraging wide-ranging, historical coverage from S&P Capital IQ, and comprehensive with point-in-time financials from CompustatⓇ.
Access financial statements, ratios, and multiples, plus press releases available within hours of publication, for timely analysis. Leverage click-through functionality and review detailed footnotes for each line item.
View true point-in-time analysis that helps you understand available data in a given point-in-time for more reliable multiples and valuation analysis.
Different industries report financial items in various ways. Leverage our standardized, industry-specific financial statement templates for in-depth comparisons.
Our trusted, comprehensive private company information includes financial statements, professionals, corporate structure relationships, and early-stage companies.
Keep tabs on rounds of funding, revenue growth, and employee headcount across different private firms to uncover growth trends and emerging players.
Conduct pre-deal analysis by creating industry-specific peer comps and building valuation models to find potential new M&A targets.
Perform due diligence on private companies by assigning a credit score to the unrated universe with our Credit Analytics solutions.
Analyzing textual data sourced from transcripts, articles, and documents can prove time-consuming and costly. With our NLP-ready datasets, you can skip the entire data management process and dive directly into analysis. Moreover, benefit from comprehensive metadata tagging and seamless integration with other datasets like Financials and Estimates to enrich your analysis and deliver critical insights.
S&P Capital IQ Estimates provides high-quality financial estimates for a broad universe of companies from an extensive contributor universe. Easily access this comprehensive information via S&P Capital IQ Pro, our robust web-based market intelligence platform, or receive the data straight into your systems, portals, and business applications through our flexible Data Feed, Cloud and API Solutions.
Our recent acquisition of Visible Alpha lets you further unlock the power of estimates. Founded in 2015 by a consortium of leading investment banks, contribution partnerships are in place today with 200+ of the world’s leading banks and research houses.
For marketing and sales professionals, clean data and automated workflows can make the difference between success and failure. With our CRM solutions, you can collect, organize, and manage your customers all in one place – and be certain you have a clear and complete view of their data and developments.
Easily enrich your business tools with trusted data from S&P Global's vast library of over 200 datasets, including Financials, ESG scores, and Company Intelligence. Seamlessly integrate data into platforms like Salesforce, HubSpot, Microsoft Dynamics, and more in just a few clicks - no coding required.
Research shows that investors’ inability to quickly update asset prices of connected companies with new value-relevant information creates an investment opportunity.
This innovative Alpha Signals dataset leverages S&P Capital IQ Detailed Estimates data to illustrate and quantify relationships between companies based on sell-side analyst coverage.
By measuring the number of shared analysts between a pair of companies, this dataset provides valuable insights into company connections that are otherwise difficult to obtain without a comprehensive view of all brokers' coverage.
Go deep with detailed industry data using SNL Sector Financials, broad leveraging wide-ranging, historical coverage from S&P Capital IQ, and comprehensive with point-in-time financials from CompustatⓇ.
Access financial statements, ratios, and multiples, plus press releases available within hours of publication, for timely analysis. Leverage click-through functionality and review detailed footnotes for each line item.
View true point-in-time analysis that helps you understand available data in a given point-in-time for more reliable multiples and valuation analysis.
Different industries report financial items in various ways. Leverage our standardized, industry-specific financial statement templates for in-depth comparisons.
Our trusted, comprehensive private company information includes financial statements, professionals, corporate structure relationships, and early-stage companies.
Keep tabs on rounds of funding, revenue growth, and employee headcount across different private firms to uncover growth trends and emerging players.
Conduct pre-deal analysis by creating industry-specific peer comps and building valuation models to find potential new M&A targets.
Perform due diligence on private companies by assigning a credit score to the unrated universe with our Credit Analytics solutions.
Analyzing textual data sourced from transcripts, articles, and documents can prove time-consuming and costly. With our NLP-ready datasets, you can skip the entire data management process and dive directly into analysis. Moreover, benefit from comprehensive metadata tagging and seamless integration with other datasets like Financials and Estimates to enrich your analysis and deliver critical insights.
S&P Capital IQ Estimates provides high-quality financial estimates for a broad universe of companies from an extensive contributor universe. Easily access this comprehensive information via S&P Capital IQ Pro, our robust web-based market intelligence platform, or receive the data straight into your systems, portals, and business applications through our flexible Data Feed, Cloud and API Solutions.
Our recent acquisition of Visible Alpha lets you further unlock the power of estimates. Founded in 2015 by a consortium of leading investment banks, contribution partnerships are in place today with 200+ of the world’s leading banks and research houses.
For marketing and sales professionals, clean data and automated workflows can make the difference between success and failure. With our CRM solutions, you can collect, organize, and manage your customers all in one place – and be certain you have a clear and complete view of their data and developments.
Easily enrich your business tools with trusted data from S&P Global's vast library of over 200 datasets, including Financials, ESG scores, and Company Intelligence. Seamlessly integrate data into platforms like Salesforce, HubSpot, Microsoft Dynamics, and more in just a few clicks - no coding required.
Research shows that investors’ inability to quickly update asset prices of connected companies with new value-relevant information creates an investment opportunity.
This innovative Alpha Signals dataset leverages S&P Capital IQ Detailed Estimates data to illustrate and quantify relationships between companies based on sell-side analyst coverage.
By measuring the number of shared analysts between a pair of companies, this dataset provides valuable insights into company connections that are otherwise difficult to obtain without a comprehensive view of all brokers' coverage.
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.
Our sector expertise and underlying data drive deeper insights than the typical news.
A unique combination of quantitative research with an analyst's intuition and judgment.
Fixed-income market research—with industry, company, and debt—from S&P Global Ratings.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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:
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.
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.
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.
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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