Get a deeper view of your credit risk exposure.

In today’s complex markets the credit health of your counterparties and investments evolves constantly. Your ability to accurately score and efficiently monitor those companies is expected to not only keep up with, but also anticipate the pace of change. Our Credit Analytics suite, the essential solution for global counterparty credit risk analysis, provides the tools you need to know more, and know it faster.

Credit Analytics' cutting-edge analytical models and robust data help you reliably score and efficiently monitor your potential risk exposure to rated, unrated, public and private companies across the globe.

Streamline your counterparty credit risk assessment with RiskGauge Reports from S&P Global Market intelligence. These detailed business credit reports are powered by dynamic analytical models and extensive private company data, and are available for over 50 million public and private companies across the globe—including small- and medium-enterprises (SMEs).

Easily assess the potential default of your counterparties and investments with probability of default (PD) and credit scores for over 5 million public and private companies globally. Our innovative approach separates credit risk into two components; financial and business risk, and can be supplemented with your own proprietary data for effective credit risk management.

Efficiently calculate the creditworthiness of unrated companies with our suite of market and fundamentals driven analytical models that deliver PD and credit scores that broadly align with S&P Global Ratings. You can access pre-scores for thousands of companies, and create scores with financial data you provide.

Assess the credit risk impact of climate change with our fundamentals-driven model available for 1,200 public and private companies in the Oil & Gas sector, or our market-driven approach available for over 44,000 public companies across the globe. 

Quickly generate a point-in-time credit risk view for public companies with our statistical model that captures market cap volatility to provide early warning signals of potential default between financial reporting periods.

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