Skandinaviska Enskilda Banken AB
  • Sector: Financials
  • HQ Country: Sweden
  • Physical Risk Level: Low
  • # of Physical Assets: 204
  • Climate Risk Horizon: 2030
  • Climate Pathway: Stochastic
  • Identifier: SEBa / SE0000120784
  • # of Simulations: 208.9K

Stranded

0%
0 Physical Assets
Attention Required

Stressed

7.4%
15 Physical Assets
Attention Required

At Risk

3.4%
7 Physical Assets
For Study

Low Risk

89.2%
182 Physical Assets
Low Priority

Peer Rank (MSCI World)

88
Out of 1,500 Companies
1st = Least Exposed to Physical Risk

Peer Rank (OMX Stockholm 30)

6
Out of 30 Companies
1st = Least Exposed to Physical Risk

Peer Rank (STOXX 600)

114
Out of 600 Companies
1st = Least Exposed to Physical Risk

Global Rank

5,242
Out of 12,908 Listed Companies
1st = Least Exposed to Physical Risk

Adaptation Priorities

Top opportunities for Skandinaviska Enskilda Banken AB to manage climate exposure.

Adaptation Priority #1

Riverine Flood
Västra Götalands län, Sweden

Adaptation Priority #2

Riverine Flood
Stockholms län, Sweden

Adaptation Priority #3

Riverine Flood
Hessen, Germany

Hedging Strategies

Beyond supporting climate-related disclosures aligned with frameworks such as CSRD and IFRS S2, the RiskThinking.ai Climate Digital Twin (CDT™) provides the high-resolution analytics needed for robust cost-benefit analyses - empowering organizations to make precise, cost-effective capital allocation decisions that enhance climate resilience.

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 Overview

Integrated 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

Ready to unlock the full dataset?