S&P 500
- Country: United States
- # of Constituents: 500
- Sector Focus: None
- Size Segment: Large Cap
- # of Physical Assets: 608,275
- # of Simulations: 622.9M
- Climate Risk Horizon: 2030
- Climate Pathway: Stochastic
Stranded
0.9%
5,439 Physical Assets
Attention Required
Attention Required
Stressed
16.7%
101,527 Physical Assets
Attention Required
Attention Required
At Risk
27.9%
169,510 Physical Assets
For Study
For Study
Low Risk
54.5%
331,799 Physical Assets
Low Priority
Low Priority
High Risk
48
Companies
Moderate Risk
372
Companies
Low Risk
76
Companies
Company Vulnerability Ranking
| Market Rank | Company Name | Sector | Material Physical Assets | Risk Level |
|---|---|---|---|---|
Market Rank: 1 | Company: | Sector: Health Care | Material Physical Assets: 17 | Risk Level: Low |
Market Rank: 2 | Company: | Sector: Financials | Material Physical Assets: 1 | Risk Level: Low |
Market Rank: 3 | Company: | Sector: Industrials | Material Physical Assets: 5 | Risk Level: Low |
Market Rank: 4 | Company: | Sector: Utilities | Material Physical Assets: 110 | Risk Level: Low |
Market Rank: 5 | Company: | Sector: Utilities | Material Physical Assets: 913 | Risk Level: Low |
Market Rank: 6 | Company: | Sector: Utilities | Material Physical Assets: 260 | Risk Level: Low |
Market Rank: 7 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 537 | Risk Level: Low |
Market Rank: 8 | Sector: Financials | Material Physical Assets: 533 | Risk Level: Low | |
Market Rank: 9 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 23 | Risk Level: Low |
Market Rank: 10 | Company: | Sector: Industrials | Material Physical Assets: 23 | Risk Level: Low |
Showing 1 to 10 of 496 results
Page 1 of 50
Learn about the Climate Digital Twin (CDT™)
The first global stochastic climate simulator built for financial institutions, government agencies, corporates, and the communities they serve
Download Platform OverviewIntegrated physical asset & climate datasets
The world's most comprehensive physical asset database linked to forward-looking hazard projections.
- 13K parent companies; 80K subsidiaries
- 6M physical assets and metadata
- 70 hazards with global, high-resolution coverage
On-demand physical risk analytics
A patented scenario generation algorithm to power risk identification and cost-benefit analyses.
- Financial impact & hazard attribution
- Expected loss and tail risk analytics
- Enables cash flow and cost-benefit modelling
Stochastic and bottom-up methodology
Built at the physical asset level, methodology that provides visibility of the full future uncertainty.
- Captures >95% of black swan events
- Accounts for compounding hazard risks
- Enables aggregations and drill-downs on specific assets.
Enterprise Solutions that scale with your needs
Secure, intuitive tools that transform complex data into cost-effective climate risk solutions.
- User interface to connect with the CDT
- Custom scheduled bulk-data deliveries
- On-demand API access