Business
S&P Global Energy Launches United Nations Global Compact Screening Dataset
S&P Global Energy Launches United Nations Global Compact Screening
About this update from S&p Global Inc.
New Sustainable1 dataset flags corporate conduct assessed against UNGC principlesLONDON and NEW YORK, June 12, 2026 /PRNewswire/ -- S&P Global Energy, the leading independent provider of information, data, analysis, benchmark prices and workflow solutions for the commodities, energy expansion and energy transition markets, today announced that S&P Global Sustainable1 has launched the United Nations Global Compact (UNGC) Screening Dataset.1The dataset is a one-stop screening solution that provides a structured method to help investment managers, bankers and non-financial corporates assess whether companies are aligned with the 10 UNGC Principles. S&P Global Sustainable1 has applied the UNGC Screening Dataset to a proprietary list of 16,500 companies globally and expects to cover an estimated 24,000.This dataset combines two evidence streams that enable customers to identify potential misalignment across human rights, labor, environment and anti-corruption principles, providing companies with timely and critical oversight of evolving risks:Controversy Screening: Tracks corporate controversies linked to one or more UNGC principles.Business Involvement Screening: Flags corporate revenues originating from specific controversial products."When investors evaluate portfolio risk, understanding any controversies companies are involved in can be a critical step. To help investors understand these risks, we have launched the S&P Global Sustainable1 UNGC Screening Dataset. This comprehensive, foundational tool identifies corporate conduct assessed against UNGC principles and better informs investment decisions," said Thomas Yagel, Head of Sustainable1 at S&P Global Energy. "The UNGC Screening Dataset provides clear and actionable UNGC alignment labels, enabling investors to integrate S&P Global Sustainable1 insights into their decision-making, portfolio construction and ongoing risk oversight."Leveraging S&P Global's AI capabilities, this new dataset utilizes proprietary AI and machine learning models to systematically identify, classify, and quantify ESG and business risks. The AI models continuously screen millions of public sources globally – across news, NGOs, regulators, and other stakeholders – in multiple languages to detect emerging risk incidents in real ...