Moncler SpA
  • Sector: Consumer Staples
  • HQ Country: Italy
  • Physical Risk Level: Moderate
  • # of Physical Assets: 13
  • Climate Risk Horizon: 2030
  • Climate Pathway: Stochastic
  • Identifier: MONC / IT0004965148
  • # of Simulations: 13.3K

Stranded

7.7%
1 Physical Asset
Attention Required

Stressed

7.7%
1 Physical Asset
Attention Required

At Risk

23.1%
3 Physical Assets
For Study

Low Risk

61.5%
8 Physical Assets
Low Priority

Peer Rank (FTSE MIB)

1
Out of 40 Companies
1st = Least Exposed to Physical Risk

Peer Rank (MSCI World)

12
Out of 1,500 Companies
1st = Least Exposed to Physical Risk

Peer Rank (STOXX 600)

12
Out of 600 Companies
1st = Least Exposed to Physical Risk

Global Rank

7,810
Out of 12,908 Listed Companies
1st = Least Exposed to Physical Risk

Adaptation Priorities

Top opportunities for Moncler SpA to manage climate exposure.

Adaptation Priority #1

Cyclone
Gujar?t, India

Adaptation Priority #2

Extreme Heat
Nord-Ovest, Italy

Adaptation Priority #3

Cyclone
Karn?taka, India

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?