ESG Data Guide 2024

Moody's - ESG Data by Moody’s

Data category

  • Environmental data
  • Governance data
  • Rankings
  • Ratings
  • Research data
  • Verification/Certification/External opinion

The data offers solutions for:

  • Carbon footprinting
  • Environmental impact analysis and insight
  • Investment decisions and portfolio insight
  • Nature-based information: Biodiversity
  • Nature-based information: Land use
  • Nature-based information: Oceans
  • Nature-based information: Water
  • Norms-based screening
  • Reporting: CSRD
  • Reporting: EU Regulations
  • Reporting: Impact
  • Reporting: Other Regulations
  • Reporting: SFDR
  • Reporting: TNFD
  • Reporting: UN SDGs
  • Social impact analysis and insight
  • Temperature alignment

Who are the data users?

  • Corporates
  • Financial institutions
  • Government
  • Investors
  • Trustees

Brief description of the data offering

Combining a longstanding record on risk analysis with deep ESG expertise, Moody’s delivers rigorous data solutions that enable market participants to address evolving business needs across their priority workflows: 

  • Investing: data to identify, measure and manage ESG risks for portfolio management and investment decisions.
  • Disclosure and Regulation: enhance compliance with reporting requirements set by TCFD, ISSB, EU Taxonomy, SFDR Pillar 3, among others.
  • Foundational Analysis: company- and sector-level risk analysis and benchmarking.
  • Lending: data, scores and screening for credit origination, assessment and portfolio management.
  • Supply Chain: data to support supply chain due diligence, third-party onboarding, and performance monitoring; advancing corporate sustainability objectives and compliance.
  • Underwriting: ESG data for P&C underwriting to inform pre-bind decision making; emissions reporting to meet PCAF standard requirements.

Where and how do you source your data?

Moody's uses a range of data sources to provide a robust and comprehensive offering. To capture company reported data we leverage a combination of machine learning tools  scrape large databases and specialist analyst teams who collect company reported data, conduct primary research, and engage directly with companies where relevant.

Outside of company reported information we also use alternative data sources and our 

advanced predictive analytical capabilities to fill in gaps. This can be particularly important for generating ESG analytics amongst small and private companies where company reported data often does not exist.

What is the cost for your data offering?

Each data package is created according to each customer’s individual requirements.  


Learn more about our solutions and contact a specialist by visiting