Company Data

FTSE Russell Green Revenues

An overview of FTSE Russell Green Revenues

The FTSE Russell Green Revenues Data Model provides investors with a highly granular and flexible means to measure revenue exposure to the green economy for more than 21,000 public companies. It identifies any company with revenues derived from green products and services and classifies the "greenness" of those goods based on the FTSE Russell Green Revenues Classification System (GRCS). The Green Revenues Data Model is a useful tool for investors to assess portfolio exposure to climate transition risks and identify opportunities for investment in companies with green activities. The model features a single Green Revenues percentage using a robust estimates methodology, a broad and comprehensive classification system and a green tiering system to determine the level of “greenness” of a company’s produced goods. Accurately identify and support your investment in companies that stand to benefit from the world's transition to a green economy with consistent and transparent data.

Key Facts 

  • Geographical coverage
    Global
  • History
    From 2008
  • Data format
    CSV
    JSON
    Python
    SQL
    User Interface
    XML
  • Delivery mechanism
    API
    Bulk
    Desktop
    SFTP
    Snowflake
    Web Service
  • Data frequency
    Annual

Features & Benefits

What you get with FTSE Russell Green Revenues

  • Define the green economy: Green Revenues is a unique data model enabling users to identify and quantify revenue exposure to the green economy and measure companies’ progress in achieving green standards, based on a transparent and robust methodology.
  • Comprehensive and granular classification: FTSE Russell Green Revenues Classification System (GRCS) identifies green products and services across the whole value chain covering 10 green sectors, 64 subsectors and 133 micro sectors. The data model offers enhanced usability via point estimates at the company level and broken down to the sector, subsector and micro sector level.
  • More accurately calibrate the risk commitment and potential return associated with investing in the transition to a green economy.
  • Capture the investment upside as the world transitions to a green economy using one of the most comprehensive green revenues taxonomies on the market.

How it works

Accessing the dataset

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