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Key takeaways:
The raw materials, battery and logistics markets, pillars of the EV revolution, have become increasingly volatile, driven by fluctuating prices, unpredictable trade policies and shifting market demands.
This has forced leading automotive firms to abandon traditional static annual budgets in favor of adaptive, data-driven, multi-scenario cost modeling.
This evolution is enabling them to adapt quickly, protect margins and remain competitive in an environment where unpredictability is the only constant.
The European automotive market is grappling with several disruptive forces. Sharp volatility in raw material prices, notably lithium, nickel, steel, aluminium and plastics, are tightening margins and destabilising cost structures.
At the same time, demand uncertainties arise as EV adoption is slowing in certain regions, creating variance in production planning. The evolving carbon-cost exposure due to policies like CBAM (Carbon Border Adjustment Mechanism) is further challenging cost stability.
Figure 1: Relative cost impact comparison of CBAM on flat rolled products, extrusions and casting alloys (primary and secondary).
Figure 1 shows the weighted average CBAM cost in relative terms as a share of total import value, allowing users to compare the relative impact across different products.
Meanwhile, trade-policy uncertainty, ranging from tariffs and anti-dumping measures to geopolitical tensions between the EU and the US, has added layers of complexity to sourcing and pricing strategies.
In this volatile environment, legacy cost modeling methods are starting to show their limitations and create a new type of risk. Fixed-price annual contracts, once a cornerstone for budgeting stability, are now failing to protect against rapid material price swings.
This inflexibility is intensified when forecasting battery cell costs, as these rely on cobalt and lithium, both subject to moderate-to-high volatility:
Figure 2: Prices and payables across selected cobalt assessments between April 2024 and April 2026.
Over the past year, cobalt prices have shown strong upward, trend-driven volatility, rising by roughly 74% from ~210,000 to ~365,000, with a wide trading range between 195,000 and 365,000.
Volatility was relatively low in early 2025, followed by a steady climb and then a sharp rally in late 2025 into early 2026, before stabilizing at higher levels. Overall, the market exhibited moderate-to-high volatility (~23% annualized), driven more by a sustained price surge than by erratic short-term fluctuations.
Figure 2 offers a clear example of how geopolitics can directly reshape raw‑material markets, with prices jumping sharply after the Democratic Republic of Congo moved to restrict cobalt exports, tightening availability and amplifying price volatility.
Figure 3: Prices across selected lithium assessments between December 2024 and April 2026.
Lithium prices have exhibited very high volatility with a strong upward trend, increasing by roughly 111% from ~9,350 to ~19,750, while trading within a wide range of 7,950 to 20,500. After a weaker and relatively stable period early in the year, prices rose sharply, indicating a rapid market tightening.
With an annualized volatility of ~33%, lithium has been significantly more volatile than cobalt, driven by pronounced price swings and a more aggressive rally.
Limited visibility into upstream mining and refining operations is only heightening the challenge, leaving many OEMs reliant on outdated manual tools that are ill-equipped to handle real-time changes.
The need for transformation is clear.
Want to learn more about what is happening at the cutting-edge of critical minerals and battery raw materials? Listen to our Fast Forward podcast series for insight, debate and news from the major players.
Leading automotive companies are standardizing on the multi-path forecasting approaches. These allow them to assess cost impacts across a range of upside and downside price curves. By incorporating factors such as demand elasticity and fluctuations in build rates, organizations can dynamically adapt both production schedules and sourcing decisions to mitigate risks.
Where indexation was once limited to materials like steel and aluminium, it is now being widely adopted for battery materials such as lithium, cobalt and nickel. OEMs and Tier 1s are increasingly structuring contracts based on benchmark prices.
The EU is preparing to release the first draft of its Industrial Accelerator Act, marking a significant step toward accelerating a domestic battery manufacturing ecosystem. Early indications suggest the framework will tie access to state support to stringent local content rules, most notably requiring automotive manufacturers to source at least 70% of EV components from within the EU.
Draft provisions also outline specific material requirements, including a mandate that 25% of aluminium and 30% of plastics used in car doors be produced within the bloc.
Whilst these measures reflect a step forward to developing a more sovereign industrial sector, member states, however, remain divided on how to close the competitiveness gap. Either leverage Chinese battery manufacturers for rapid scale‑up or pursue a more assertive, Europe‑first, industrial strategy.
OEMs are leveraging ongoing feeds of market data to continuously update material costs. This shift to dynamic cost monitoring enables monthly or even weekly refinements to sourcing strategy and build-rate planning based on reference prices and other inputs.
The ability to trace BOM (Bill of Materials) costs in real time is becoming a must-have for leaders to stay competitive in a volatile market.
To improve responsiveness and alignment, engineering, procurement and finance teams are working from unified cost models. By integrating technical cost breakdowns (TCBs) with raw-material exposures, OEMs can address volatility impacts holistically, ensuring cross-departmental collaboration drives faster decision-making and more cohesive strategies.
These evolving models reshape supplier relationships. OEMs that use real-time indices to validate supplier price offers foster greater transparency and competitive pricing. Hedging strategies are now more prevalent and provide an added layer of risk protection around volatile materials.
Renegotiation triggers and flexibility clauses are now being added to contracts, offering safeguards against major market swings. A growing trend toward multi-sourcing, particularly for critical battery materials, is further enhancing resilience.
In 2026, successful OEMs are prioritizing staying agile in their planning cycles, enabling shorter, more frequent adjustments to build rates in response to demand and cost shifts.
Real-time BOM cost tracing will be fully integrated into production, and proactive risk management will take precedence over reactive cost-cutting. This proactive stance will help safeguard profitability even in highly unpredictable conditions.
The European automotive industry is pivoting from traditional cost review processes to a forward-thinking approach centered on proactive volatility management. By integrating market data, expanding indexation structures and adopting scenario modeling, leading OEMs and Tier 1 suppliers are building resilience and competitive advantage.
This new operating model has positioned them not just to weather the storm of market unpredictability but to thrive within it, setting the foundation for sustained success in the decade ahead.
Ready to drive smarter decisions and build a resilient cost model for your automotive business?
Fastmarkets price data, forecasts and analysis play a small but pivotal role supporting a quarter of global automotive manufacturers. Talk to our team and learn how we can anchor your cost models, reduce risk and inform your RFI/RFP/FRQ processes.