About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

S&P Valuation and Risk Strategies Expands Coverage Beyond Rated Universe with Quantitatively Derived Corporate Credit Health Assessments

Subscribe to our newsletter

S&P Valuation and Risk Strategies, an independent and analytically separate business unit within Standard & Poor’s that provides users with market intelligence and analytic insight for risk-driven investment analysis, announced the launch of a new credit evaluation benchmark on its Global Credit Portal investor analytics platform. Called the Credit Health Panel, the new feature provides a quantitative credit perspective on over 3,000 rated and 23,000 un-rated non-financial public companies.

Designed to give investors a dashboard view of the credit health of a corporate entity relative to a broad set of entity peers, the Credit Health Panel is intended to allow for extensive and efficient counterparty and portfolio risk analysis. Targeted primarily at commercial lending, corporate treasury, and risk management professionals, the Credit Health Panel provides an instant peer comparison and a rapid, market-wide perspective on income, operational, liquidity and probability of default estimates for the largest universe of corporate entities ever addressed by S&P.

Among the key metrics provided by the Credit Health Panel are the following:

  • Overall Credit Health Score: A quantitative analysis of an entity’s cash generation capabilities, operational risks and ability to meet its financial obligations.
  • Probability of Default Score: A forward-looking estimate allowing users to asses default risk within the next 12 months by including financial, industry and macroeconomic factors.
  • CreditModel Score: A quantitatively-derived credit assessment mapped to the Standard & Poor’s rating scale, based upon historical default frequency, which includes fundamentals and equity evaluations.

“With the Credit Health Panel, we’ve created an extensive heat map of corporate credit health that allows investors to quickly evaluate entities relative to their peer groups,” said Lou Eccleston, executive managing director and head of S&P Valuation and Risk Strategies. “By expanding well beyond the Standard & Poor’s rated universe, we are giving investors of every size the tools intended to help them conduct truly robust risk-driven investment analysis.”

“The Credit Health Panel analyzes 33 key financial metrics across three risk categories (income, operational and liquidity) to give investors a quantitative view of credit performance vs. a peer group,” said Sonia Kim, managing director, S&P Valuation and Risk Strategies. “We’ve made it possible for all investors to conduct a level of analysis in minutes that would have previously been cost- and time-prohibitive for the most sophisticated credit analysts.”

The Credit Health Panel is available to Standard & Poor’s customers worldwide through the S&P Global Credit Portal.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at...

BLOG

Duco Agentic Maturity for Reconciliation Benchmark Offers AI Adoption Map

Financial services companies and institutions are moving in large numbers along the road to agentic artificial intelligence maturity of their reconciliation processes. But many are caught in the no-man’s land between pilot and production as they grapple with the realities of operationalising models and agents. An inability to adequately assess AI before implementation, difficulties in...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...