RatingsXpress®: Research
<p><span style=color: rgb(0,0,0);background-color: rgb(234,234,234);font-size: 18px;font-family: Akk Pro, Arial, sans-serif, "MS Gothic;">New RatingsXpress®: Research Parsed Text offering is now available!</span> </p>
S&P Global Ratings credit research reports available in machine readable format.
Market Intelligence
The RatingsXpress: Research dataset provides research reports published by S&P Global Ratings. Data is available by asset class, global issuers (corporations, banks, insurance, utilities), sovereigns, international public finance and government entities, structured finance (CDO, ABS, CMBS, RMBS), and US public finance (general obligations and revenue issuances).
Data scientists, research teams, and quantitative strategists interested in textual analysis and machine learning for investment, credit risk modeling, and developing sentiment/early warning models can utilize RatingsXpress: Research, S&P Global Ratings' digitized credit research.
Article types in this dataset include:
- News
- Research Updates
- Full Analysis
- Summary Analysis
- Commentary
- Frequency
- Ad Hoc
- Latency
- Intraday
- Coverage Type
- Documents
- History
- 1994
- Earliest Significant Coverage
- 2008
- Point In Time
- No
- Data Source
- S&P Global Ratings
- Field Count
- 10s
- Added
- 2020-07-08
- Enhanced
- 2026-04-14
Industries
- Financials
- Real Estate
- Energy and Utilities
- Materials
- Healthcare
- Industrials
- Consumer
- Technology, Media & Telecommunications
Geographic Coverage
- Global
Delivery
- API
- Cloud
- Feed
Research & Insights
- The Informativeness of Research Reports – Is All Text Content Created Equal?
- Blog: Can We Uncover The Subtext Behind Credit Ratings Research?
- Blog: A COVID 19 Systemic Risk Story in Seven Simple Charts
- Case Study: United Airlines Holdings Inc. Downgraded To 'B+' On Steep Demand Decline Due To COVID-19
- Blog: Vulnerable Angels Spotlight on US Oil Gas Companies Rated BBB by SP Global Ratings
- Hanging on Every Negative Word: Natural Language Processing Analysis of Credit Rating Action Reports