With regard to transition scenarios analysis, according to different scenarios, transition speeds might vary greatly in the next two decades. The assessment of transition climate-related risks is based on a qualitative and quantitative climate-related scenario analysis. We take into account prospective scenarios for technological development, market conditions and normative evolutions. These scenarios are based on the IEA (namely NZE, APS and STEPS scenarios), a world agency providing analysis and advisory services to governments on energy issues, combined with many different literature studies, based on the definition of a climate ambition and technology progress parameter. Also, IPCC SSP scenarios were used to create charging infrastructure projections. The overall structure of the analysis relies on the pairing of physical and transition scenarios following the combinations: (1) SSP1/NZE- (2) SSP2/APS- (3) SSP3-5/STEPS:

• The Net Zero Emissions by 2050 Scenario (NZE) is a normative scenario that shows a pathway for the global energy sector to achieve net zero CO2 emissions by 2050, with advanced economies reaching net zero emissions in advance of others. It is consistent with limiting the global temperature rise to 1.5 °C with no or limited temperature overshoot (with a 50 percent probability). It is consistent with an RCP2.6 scenario. It is compatible with the SSP1 IPCC scenario, where the world follows a sustainable development pathway, with inequalities reduced, strong convergence between developing and developed countries, and strong climate action;
• In the APS scenario, countries fully implement their national targets to 2030 and 2050. It is a “business as usual” scenario. It is consistent with a low range of the RCP4.5 scenarios. It is compatible with the SSP2 IPCC scenario which is a business-as-usual scenario;
• The STEPS provides a conservative benchmark for the future, as it does not take for granted that governments will reach all announced climate goals. It explores where the energy system and other sectors might go without a major additional effort from policy makers. It is consistent with a high RCP4.5 (low RCP8.5) scenario, and compatible with SSP3-SSP5 IPCC scenarios. The SSP5 is a scenario with a strong technological development sustained, however, by fossil fuels, while the SSP3 is a “divided” world scenario, featuring strong inequalities and competition for resources between nations.

To identify transitional risks, we analyzed, for each country in which Ferrari operates through points of sale, the regulatory situation concerning the ICE powertrain. This enabled us to identify the countries in which a restriction on the sale of ICE could be imposed. Moreover, we analyzed the targets set at national level in terms of the number of charging points for BEVs. With regard to the market, we also took into account the societal momentum around climate action, always guided by our scientific and holistic approach to address emission across sectors. The transition scenario analysis also took into consideration the issue of raw material shortage among its assumptions, while considering that it is partly caused by climate change and increased demand (with a consequence on prices) for certain types of critical materials needed to support the electric transition.

With regard to transition scenarios analysis, according to different scenarios, transition speeds might vary greatly in the next two decades. The assessment of transition climate-related risks is based on a qualitative and quantitative climate-related scenario analysis. We take into account prospective scenarios for technological development, market conditions and normative evolutions. These scenarios are based on the IEA (namely NZE, APS and STEPS scenarios), a world agency providing analysis and advisory services to governments on energy issues, combined with many different literature studies, based on the definition of a climate ambition and technology progress parameter. Also, IPCC SSP scenarios were used to create charging infrastructure projections. The overall structure of the analysis relies on the pairing of physical and transition scenarios following the combinations: (1) SSP1/NZE- (2) SSP2/APS- (3) SSP3-5/STEPS:

• The Net Zero Emissions by 2050 Scenario (NZE) is a normative scenario that shows a pathway for the global energy sector to achieve net zero CO2 emissions by 2050, with advanced economies reaching net zero emissions in advance of others. It is consistent with limiting the global temperature rise to 1.5 °C with no or limited temperature overshoot (with a 50 percent probability). It is consistent with an RCP2.6 scenario. It is compatible with the SSP1 IPCC scenario, where the world follows a sustainable development pathway, with inequalities reduced, strong convergence between developing and developed countries, and strong climate action;
• In the APS scenario, countries fully implement their national targets to 2030 and 2050. It is a “business as usual” scenario. It is consistent with a low range of the RCP4.5 scenarios. It is compatible with the SSP2 IPCC scenario which is a business-as-usual scenario;
• The STEPS provides a conservative benchmark for the future, as it does not take for granted that governments will reach all announced climate goals. It explores where the energy system and other sectors might go without a major additional effort from policy makers. It is consistent with a high RCP4.5 (low RCP8.5) scenario, and compatible with SSP3-SSP5 IPCC scenarios. The SSP5 is a scenario with a strong technological development sustained, however, by fossil fuels, while the SSP3 is a “divided” world scenario, featuring strong inequalities and competition for resources between nations.

To identify transitional risks, we analyzed, for each country in which Ferrari operates through points of sale, the regulatory situation concerning the ICE powertrain. This enabled us to identify the countries in which a restriction on the sale of ICE could be imposed. Moreover, we analyzed the targets set at national level in terms of the number of charging points for BEVs. With regard to the market, we also took into account the societal momentum around climate action, always guided by our scientific and holistic approach to address emission across sectors. The transition scenario analysis also took into consideration the issue of raw material shortage among its assumptions, while considering that it is partly caused by climate change and increased demand (with a consequence on prices) for certain types of critical materials needed to support the electric transition.

We are aware that the transition to a climate-neutral economy could be slowed down by locked-in GHG emissions. Regarding Scope 1 and 2, certain processes cannot be converted to electricity yet. For Scope 3 downstream, the locked-in emissions depend on how the market will evolve in the coming years, in particular on the share of BEVs (Battery Electric Vehicle). However, it is important to point out that the higher the share of BEVs, the harder it is to reach the target set for Scope 3 upstream. We are developing plans to reduce emissions from downstream ICEs, and in particular, we are evaluating various technologies, including alternative fuels.

In 2022, to strengthen our resilience strategy, we conducted a Climate Scenario Analysis of our prospective climate change risks, both physical and transitional, for our plants in Maranello and Modena and for our value chain following the most up-to-date methodologies available internationally, covering the 2030 to 2050 time-horizon. In 2024, the assumptions of this analysis remained unchanged. The choice of the scenarios for physical and transitional risks is based on EU and international guidelines (i.e. EU Taxonomy and TCFD respectively), on climate literature, availability of impact studies and likelihood of scenarios. We used the International Energy Agency (IEA) and the Intergovernmental Panel on Climate Change (IPCC) scenarios along with the Swiss RE, Moody’s Analytics, and Wood Mackenzie international databases.

More specifically, for physical risks, the Representative Concentration Pathways (RCP) correspond to defined emissions and global warming levels. Each RCP scenario is modeled by the scientific community in terms of physical impacts. In particular, we have considered the RCP 8.5, RCP 4.5 and RCP 2.6 scenarios:

• The RCP8.5 scenario is the most extreme of the business-as-usual scenarios. It forecasts an increase above 4°C by 2100. This scenario can translate into reality if the world adopts no mitigation policy. High economic and population growth rates (SSP5) favor this scenario. This scenario triggers most of the climate “points of non-return” and hence, its consequences are difficult to model;
• The RCP4.5 scenario is the most probable given current pledges by countries. It forecasts an increase in temperature between 2 to 3°C by the end of the century, well above the limits of Paris 2015 and Kyoto Protocol. Pledges as of October 2022 lead to an increase of 2.5°C by 2100, as calculated by the United Nations; and
• The RCP2.6 scenario is a Paris/Kyoto one and foresees emissions approximately at the same levels of today (below 1.5°C by 2100 ).

Each climate scenario is characterized by different levels of greenhouse gas concentrations. Specifically, we considered a pessimistic scenario (RCP 8.5), an intermediate scenario (RCP 4.5) and a more optimistic scenario (RCP 2.6) to assess the various situations we might face.

For the analysis of physical risks, we considered three different time horizons:

• short term – from 0 to 2 years
• medium term – from 2 to 5 years
• long term – from 5 to 8 years (the value eight is an indicative value, for specific risks that we already consider, the time horizon could be longer).

All of these risks have to be explored into our risk tables, strategic planning horizons and capital allocation plans.

For the analysis, we considered the geospatial coordinates of our Maranello and Modena plants to understand their exposure to physical events. In particular, precipitation, wind and temperature logs from the local weather grid were analyzed to evaluate present trends and build reliable inferences on possible future trends. A detailed analysis of local sources such as the Modena/Maranello Civil Protection, ARPAE and newspapers allowed to build an “event history” database and contributed to the overall risk mapping.

Through the Scenario Analysis we also analyzed the physical and transitional risks of our suppliers, taking into consideration their location.

As of today, the Climate Scenario Analysis does not reflect any assumption made in the financial statement.

The identified material climate-related risks are classified as follows:

Physical Risks for Maranello and Modena facilities:

• Acute: Increased Hail Frequency and Severity, Increase of Summer Blackout, Increase in Flooding Risk, Increased Wind Storm Severity, Increase in Drought Risk and Water Stress, Increase in Wildfires Risk.
• Chronic: Gas Equipment Production Reduction, Fuel Cell Efficiency Reduction, Health Hazards Accelerating invasion potential of disease vectors, Increased Heat Waves Frequency and Length, Increase in Mean Temperature, Solar Panel Production Reduction.

Physical Risks for supply chain:

• Acute: Increased Drought Exposure, Hydrogeologic Risk, Increased Flooding Exposure, Acute Climate Risk on Countries Extracting Critical Materials.
• Chronic: Increased Chronic Risk Exposure, Chronic Climate Risk on Countries Extracting Critical Materials.

Transition Risks organization worldwide:

• Market: Failure in Intercepting Favourable Markets, Failure in Aligning with Countries Climate Ambitions, Disalignment with Peers Transition Plans, Exposure to Critical Materials Price Soar, CBAM Induced Increased Costs of Extra EU Supplies, Future Hypothetical Carbon Tax.
• Normative: Failure in Aligning with Countries Targets, Failure in Aligning with Cities Targets.
• Reputational: Penalty Fees for Exceeding Vehicle Emission Mandates, Change in climate induced luxury perception.
• Technology: Supply Shortages of Critical Materials, Scarcity of Components and Materials Needed for the PV Arrays.

In 2022, a Climate Scenario Analysis was conducted to strengthen the resilience strategy, focusing on prospective climate change risks, both physical and transitional, for plants in Maranello and Modena and for the value chain. The analysis followed the most up-to-date methodologies available internationally, covering the 2030 to 2050 time-horizon. The choice of scenarios for physical and transitional risks is based on EU and international guidelines (i.e., EU Taxonomy and TCFD respectively), on climate literature, availability of impact studies, and likelihood of scenarios. The analysis included the geospatial coordinates of Maranello and Modena plants to understand their exposure to physical events. Precipitation, wind, and temperature logs from the local weather grid were analyzed to evaluate present trends and build reliable inferences on possible future trends. A detailed analysis of local sources such as the Modena/Maranello Civil Protection, ARPAE, and newspapers allowed to build an 'event history' database and contributed to the overall risk mapping. The analysis also considered the physical and transitional risks of suppliers, taking into consideration their location. The Climate Scenario Analysis considered the short, medium, and long term, specifically until 2026, from 2026 to 2035 and from 2035 to 2050.

In 2022, a Climate Scenario Analysis was conducted to strengthen the resilience strategy, focusing on prospective climate change risks, both physical and transitional, for plants in Maranello and Modena and for the value chain. The analysis followed the most up-to-date methodologies available internationally, covering the 2030 to 2050 time-horizon. The choice of scenarios for physical and transitional risks is based on EU and international guidelines (i.e., EU Taxonomy and TCFD respectively), on climate literature, availability of impact studies, and likelihood of scenarios. The analysis included the geospatial coordinates of Maranello and Modena plants to understand their exposure to physical events. Precipitation, wind, and temperature logs from the local weather grid were analyzed to evaluate present trends and build reliable inferences on possible future trends. A detailed analysis of local sources such as the Modena/Maranello Civil Protection, ARPAE, and newspapers allowed to build an 'event history' database and contributed to the overall risk mapping. The analysis also considered the physical and transitional risks of suppliers, taking into consideration their location. The Climate Scenario Analysis considered the short, medium, and long term, specifically until 2026, from 2026 to 2035 and from 2035 to 2050.

In 2022, a Climate Scenario Analysis was conducted to strengthen the resilience strategy, focusing on prospective climate change risks, both physical and transitional, for plants in Maranello and Modena and for the value chain. The analysis followed the most up-to-date methodologies available internationally, covering the 2030 to 2050 time-horizon. The choice of scenarios for physical and transitional risks is based on EU and international guidelines (i.e., EU Taxonomy and TCFD respectively), on climate literature, availability of impact studies, and likelihood of scenarios. The analysis included the geospatial coordinates of Maranello and Modena plants to understand their exposure to physical events. Precipitation, wind, and temperature logs from the local weather grid were analyzed to evaluate present trends and build reliable inferences on possible future trends. A detailed analysis of local sources such as the Modena/Maranello Civil Protection, ARPAE, and newspapers allowed to build an 'event history' database and contributed to the overall risk mapping. The analysis also considered the physical and transitional risks of suppliers, taking into consideration their location. The Climate Scenario Analysis considered the short, medium, and long term, specifically until 2026, from 2026 to 2035 and from 2035 to 2050.

For the analysis of physical risks, three different time horizons were considered:

• Short term – from 0 to 2 years
• Medium term – from 2 to 5 years
• Long term – from 5 to 8 years (the value eight is an indicative value, for specific risks that we already consider, the time horizon could be longer).

In the Scenario Analysis, the short, medium, and long term were specifically considered until 2026, from 2026 to 2035, and from 2035 to 2050.