Get Started

Company Climate Risk Scores

Data Feed by Four Twenty Seven

Added to Marketplace: October 8, 2021


Four Twenty Seven’s forward-looking data analytics empowers investors to identify and mitigate physical climate risk in their portfolios across both developed and emerging markets around the world.

Asset Owners can integrate company climate risk with risk assessment to take your investment strategy to the next level. Evaluate the long-term risk exposure of your portfolio holdings and engage with management teams to foster investments in resilience.

Portfolio Managers can incorporate climate risk scores into your portfolio construction and risk assessment processes to level up your portfolio management. Research Analysts will understand long-term exposures of companies, industries and sectors as a key component of future return performance.

Data Feed Coverage

Data Feed Details

With a database of over 140,000 corporate facilities around the world, Four Twenty Seven calculates operational risk scores for over 5,000 companies, based on the precise locations of their underlying assets. Users can access physical climate risk scores for global companies, across both developed and emerging markets and view exposures to floods, hurricanes & typhoons, sea level rise, heat stress, water stress and wildfires for companies and their facilities.

Firm Information

Four Twenty Seven (, an affiliate of Moody’s, is a leading publisher and provider of data, market intelligence and analysis related to physical climate and environmental risks. Four Twenty Seven tackles physical risk head on with analytics that identify the exposure of any location in the world to climate change hazards such floods, sea level rise, hurricanes & typhoons, heat stress and water stress, which pose an immediate threat to investment and loan portfolios.

Product Resources

Helpful Links

Product Tags

<5 yrs


Request a one-on-one demo with a FactSet specialist to see how you can elevate your investment process with our smarter, connected data.