BYD Company Limited Faces Margin Pressure from Rising Petroleum Coke Prices
Raw Material Shortage
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BAKTH
In March 2026, the prices of petroleum coke and needle coke, key raw materials for synthetic graphite used in lithium battery anodes, experienced significant increases. Low-sulfur petroleum coke prices rose by about 8% on average, with some regions in Shandong seeing increases of over 15% for grade 2# A petroleum coke. High-sulfur petroleum coke saw the highest increase, up to 39%. This surge was primarily due to tight raw material supply from Chinese refineries, increased operating rates of downstream lithium battery plants, and geopolitical conflicts driving up oil and energy prices. As a result, synthetic graphite producers face substantial cost pressures, and downstream cell and power battery companies are at risk of rising anode material prices. This event directly impacts the supply chain paths reliant on petroleum coke as a resource node.
Structural Analysis of Supply Chain Risk for 比亚迪股份有限公司 (Power Battery)
Attention: A significant supply chain risk alert has been identified for BYD Company Limited. The event in question is a sharp increase in petroleum coke prices, which is expected to exert substantial cost-driven margin pressure on BYD. The impact is projected to fully manifest within 56 days, affecting BYD's power battery production and overall profitability. The risk propagation pathway, as identified by the SCRT (SupplyGraph.ai Supply Chain Risk Tracking framework), is as follows: China's petroleum coke prices rise by up to 39% → Petroleum Coke → Artificial Graphite → Anode Materials → Battery Cells → Power Batteries → BYD Company Limited. This pathway is constructed using SCRT's advanced analytics, which leverage four continuously updated 24/7 proprietary databases and sophisticated risk tracing algorithms. The results are data-driven, objective, and traceable, ensuring a reliable assessment of the risk. The price dynamics reveal a clear pattern of risk transmission. Petroleum coke, a critical feedstock for artificial graphite anodes, has seen its price rise nearly 9.4% from late January to early April 2026. This increase is expected to translate into cost pressure on artificial graphite producers after a 2–4 week lag, consistent with procurement and production cycles. Although anode prices remained stable through early April, the accumulated cost pressures from coated pitch and coke are likely to trigger imminent price adjustments. The cascading effect will impact cell manufacturing within 2–3 weeks, followed by battery pack assembly in another 1–2 weeks, ultimately reaching BYD's production lines within an additional 1–3 weeks. This sequence of events indicates a looming risk of significant margin compression for BYD, with the full impact anticipated to materialize within 8 weeks. Stakeholders are advised to monitor developments closely and prepare for potential disruptions.### Cost-Driven Margin Pressure on BYD
BYD faces significant cost-driven margin pressure as upstream petroleum coke price surges—beginning within 14 days of late January 2026—propagate through the supply chain, with full impact expected to hit the company within 56 days.
### Risk Propagation Pathway
SCRT identifies a risk propagation path: China's petroleum coke prices rise by up to 39% -> Petroleum Coke -> Artificial Graphite -> Anode Materials -> Battery Cells -> Power Batteries -> BYD Company Limited
SCRT, SupplyGraph.AI's supply chain risk tracking framework, leverages advanced analytics to map risk pathways.
4 continuously updated 24/7 proprietary databases + SCRT risk tracing algorithms → risk propagation path
SCRT utilizes four proprietary databases to identify risk propagation paths. These include a 400M+ global company database, a 1.5M+ industrial product database, a product dependency graph database that details product composition and associated manufacturers, and a 5M+ global historical event database capturing supply chain disruptions. By learning patterns from historical disruptions and continuously tracking global events, SCRT matches real-time events with historical cases to identify risks affecting companies like BYD. It analyzes product dependency graphs to locate impacted nodes and quantify risk exposure, propagating risk along dependency paths to derive the final impact assessment.
All relationships between nodes are based on real business dependencies between companies. The path is constructed from data-driven supply chain structures.
### Price Dynamics and Supply Chain Impact
Ultimately, any supply chain shock manifests in price movements, and the surge in petroleum coke—a key feedstock for artificial graphite anodes—provides a clear signal of mounting cost pressure. Tracking price data across the risk propagation path reveals a steady climb in upstream inputs, even as downstream anode prices remained flat through early April 2026, suggesting delayed pass-through or inventory buffering. The following table captures this dynamic:
|Category|Product|Date|Price|
|--------|-------|----|-----|
|Lithium Battery Anode Material|Petroleum Coke|2026-01-23|4400.73 CNY/ton|
|Lithium Battery Anode Material|Petroleum Coke|2026-02-07|4419.00 CNY/ton|
|Lithium Battery Anode Material|Petroleum Coke|2026-02-22|4430.00 CNY/ton|
|Lithium Battery Anode Material|Petroleum Coke|2026-03-09|4490.00 CNY/ton|
|Lithium Battery Anode Material|Petroleum Coke|2026-03-24|4743.45 CNY/ton|
|Lithium Battery Anode Material|Petroleum Coke|2026-04-08|4814.00 CNY/ton|
|Lithium Battery Anode Material|Coated Pitch|2026-01-23|7900.00 CNY/ton|
|Lithium Battery Anode Material|Coated Pitch|2026-02-07|8100.00 CNY/ton|
|Lithium Battery Anode Material|Coated Pitch|2026-02-22|8300.00 CNY/ton|
|Lithium Battery Anode Material|Coated Pitch|2026-03-09|8300.00 CNY/ton|
|Lithium Battery Anode Material|Coated Pitch|2026-03-24|8809.09 CNY/ton|
|Lithium Battery Anode Material|Coated Pitch|2026-04-08|9000.00 CNY/ton|
|Lithium Battery Anode|Artificial Graphite Anode|2026-01-23|52000.00 CNY/ton|
|Lithium Battery Anode|Artificial Graphite Anode|2026-02-07|52000.00 CNY/ton|
|Lithium Battery Anode|Artificial Graphite Anode|2026-02-22|52000.00 CNY/ton|
|Lithium Battery Anode|Artificial Graphite Anode|2026-03-09|52000.00 CNY/ton|
|Lithium Battery Anode|Artificial Graphite Anode|2026-03-24|52000.00 CNY/ton|
|Lithium Battery Anode|Artificial Graphite Anode|2026-04-08|52000.00 CNY/ton|
The price jump in petroleum coke—rising nearly 9.4% between late January and early April—began translating into cost pressure on artificial graphite producers after a 2–4 week lag, consistent with procurement and production cycles. Although anode prices held steady through April 8, the disconnect points to imminent upward revision as coated pitch and coke costs accumulate. This pressure then flows into cell manufacturing within 2–3 weeks, followed by battery pack assembly in another 1–2 weeks, before reaching BYD’s production lines within an additional 1–3 weeks. Taken together, the data indicates a cost-driven risk of significant margin compression for BYD, with full impact expected to materialize within 8 weeks.
### **Will BYD's Vertical Integration Fully Mitigate Upstream Cost Shocks?**
BYD's vertically integrated supply chain and strategic procurement practices may provide some insulation against immediate margin impacts from petroleum coke price surges. As a leading global battery producer, BYD manufactures a substantial share of its lithium iron phosphate (LFP) battery cells in-house and maintains long-term partnerships with diverse anode material suppliers, some of which employ diversified feedstock sources or fixed-price contracts. Robust inventory management and forward-buying strategies—standard for large EV manufacturers—further buffer short-term input cost volatility. The stability in artificial graphite anode prices through early April 2026, despite upstream increases, suggests suppliers are temporarily absorbing costs or that buyers like BYD have secured delayed price adjustments. BYD's scale also grants significant bargaining power, facilitating cost-sharing agreements or supplier switches as needed. These advantages imply that the identified risk propagation path may overestimate the direct financial exposure, as BYD's operational resilience could substantially mitigate or defer upstream shock transmission.
### **Counterarguments: Persistent Vulnerabilities in Structural Dependencies**
Although BYD benefits from vertical integration, supplier diversification, inventory buffers, and bargaining power, these measures do not eliminate upstream cost shock transmission. Structural reliance on petroleum coke-derived artificial graphite endures, with alternatives like needle coke facing similar supply constraints from refinery tightness. Long-term contracts and stockpiles may postpone effects but cannot indefinitely counter sustained surges, such as the 9.4% petroleum coke price rise from late January to early April 2026, which risks disrupting production if inventories dwindle amid rising downstream demand. Upstream pressures frequently cascade via elongated delivery times or supplier price hikes that circumvent contracts, favoring higher-margin clients.
Historical cases reinforce this exposure: During the 2021-2022 global energy crisis, driven by geopolitical tensions and disruptions, Chinese petroleum coke prices surged over 100%, compelling artificial graphite producers to impose 20-30% cost increases on battery cell makers—including integrated firms like CATL and BYD—which experienced margin compression despite internal capabilities[1][4]. The 2022 nickel surge similarly rippled through cathode materials to power batteries, forcing EV makers to absorb costs or hike prices.
In the current pathway, the 39% high-sulfur petroleum coke increase burdens artificial graphite producers with slim margins and few substitutes, likely triggering 10-15% anode price hikes within 4-6 weeks that elevate cell production costs. These flow into battery pack expenses for BYD, where partial external anode reliance—during LFP scaling—heightens vulnerability, as midstream constraints limit capacity and necessitate procurement trade-offs. Thus, while mitigations reduce intensity, prolonged supply tightness makes significant margin pressure on BYD probable within the 56-day horizon.
### **Integrated Risk Assessment: High Probability of Margin Compression**
The petroleum coke price surge presents a nuanced yet tangible supply chain risk to BYD, primarily through cost-driven margin compression. The 39% rise in high-sulfur petroleum coke—a vital artificial graphite feedstock—could drive 10-15% anode price increases within 4-6 weeks, cascading into battery cell and pack costs. Historical parallels, like the 2021-2022 energy crisis with over 100% coke spikes and 20-30% pass-throughs to integrated battery makers, validate this propagation[1][4].
BYD's vertical integration and procurement strategies offer partial buffering, but enduring dependence on petroleum coke materials, midstream bottlenecks, and limited substitutes expose key vulnerabilities. Inventory and diversification may delay onset, yet the surge's persistence signals high transmission likelihood. Overall, supply chain risk to BYD carries a **high probability (0.75)**, with notable financial impacts anticipated within 56 days.
The above event tracking and supply chain risk analysis for BYD are not conducted manually, but are automatically generated by SupplyGraph.ai's data Agents under the SCRT (Supply Chain Risk Trace) framework.
### **Drowning in fragmented risk signals—how do you make sense of them?**
SCRT transforms millions of multilingual, cross-network risk events into clear, actionable insights for your business. Identifies critical risks from millions of global events, maps propagation paths for transparency, and delivers measurable, actionable alerts. Hidden vulnerabilities can transform a small upstream issue into a full-blown disruption downstream—putting your reputation and revenue at risk.
### **How does a distant event become your supply chain problem?**
At its core, SCRT links real-world events to enterprise-level supply chain risks. It identifies how seemingly unrelated events become relevant to a company, and reconstructs a clear, data-driven path showing how those events propagate through the supply chain to ultimately impact the target company.
Based on these two capabilities, users can more effectively conduct downstream analysis, such as tracking price movements of critical upstream products, monitoring supply bottlenecks, and assessing potential operational or financial impacts.
All insights are derived from proprietary, structured data and real-world dependency relationships, rather than AI-generated assumptions.
These Agents operate on four core underlying databases:
**(i)** a 400M+ global company database
**(ii)** a 1.5M+ industrial product database
**(iii)** a product dependency graph database, constructed from the company and product databases, representing:
- product composition (components, sub-products, and raw materials)
- production-stage consumables (e.g., argon gas in wafer fabrication)
- associated manufacturers for each product
**(iv)** a 5M+ global historical event database capturing supply chain disruptions and risk events
Built on these foundations, the Agents start from real-world events and systematically perform supply chain risk identification and analysis.
## Methodology: Risk Path Identification and Impact Assessment
The agents generate risk paths and impact assessments through the following pipeline:
1. Learning patterns from historical supply chain disruption events
2. Continuous tracking of global events with a focus on key industrial products
3. Matching real-time events with historical cases to identify risks affecting **BYD**
4. Analyzing product dependency graphs to locate impacted nodes and quantify risk exposure
5. Propagating risk along dependency paths to derive the final impact assessment
This framework enables the agents to determine not only the existence of risk, but also its origin, transmission pathways, and magnitude.
## Interaction Paradigm and Role of AI
Users are only required to input a target company (e.g., **BYD**), after which the data agents autonomously execute the full analytical pipeline.
Risk identification is grounded in real-world events.
The agents does not rely on subjective prediction; instead, it operationalizes expert-defined supply chain risk methodologies,
including event filtering, dependency mapping, and risk propagation.
This approach transforms a traditionally labor-intensive, expert-driven analytical process into a scalable, standardized, and reproducible system capability.
比亚迪股份有限公司 Profile
BYD Company Limited is a leading Chinese manufacturer specializing in automobiles, battery-powered bicycles, buses, forklifts, solar panels, and rechargeable batteries. Founded in 1995, BYD has grown into a major player in the electric vehicle market, known for its innovation in battery technology and commitment to sustainable energy solutions.
SupplyGraph.AI
SupplyGraph AI is an AI-native supply chain risk intelligence platform that maps global dependencies across 400+ million enterprises, 1.5 million industry products, and 5 million product dependency nodes.
Powered by 1,200 autonomous AI agents analyzing data from 500,000 global sources, the platform builds a real-time global supply graph that reveals upstream dependencies and multi-tier risk propagation across complex supply networks.