Middle Eastern Conflict Disrupts Supply Chain, Impacting China Baowu Steel Group
Geopolitical Risk
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ICIS
Due to increased shipping risks in the Middle East and the blockade of the Strait of Hormuz, China's import of elemental sulfur from the region has been disrupted, leading to rising costs and prices. Concurrently, domestic demand for sulfuric acid in China is increasing due to its critical role in fertilizers, especially phosphate fertilizers, and metal smelting industries. Market participants report tight sulfuric acid supply, with some producers forced to cut production or prioritize domestic orders due to unstable sulfur supply, logistics delays, and rising costs. The upward pressure on sulfuric acid costs is impacting processes like steel pickling, potentially leading to significant cost increases or production halts.
Supply Chain Vulnerability Analysis for 中国宝武钢铁集团有限公司 (Cold Rolled Steel Sheet)
Attention: Immediate Supply Chain Risk Alert for China Baowu Steel Group. The ongoing Middle Eastern supply disruptions are poised to exert severe cost and supply pressures on China Baowu Steel Group. The impact is expected to cascade through the supply chain, affecting operations within 28 days. The identified risk propagation path is as follows: Middle East conflict → China's sulfur imports → sulfuric acid → pickling lines → cold-rolled steel → China Baowu Steel Group Co., Ltd. This path has been meticulously traced by the SCRT (SupplyGraph.ai Supply Chain Risk Tracing Framework), leveraging four continuously updated 24/7 proprietary databases and advanced SCRT algorithms. The results are data-driven, objective, and traceable. The disruption begins with the Middle East conflict, which has already caused a sharp increase in sulfur prices, surging from 4,042.73 CNY/ton on January 23 to 6,095.67 CNY/ton by April 8, marking a 51% rise in just 11 weeks. This price shock has rapidly transmitted to sulfuric acid markets, with Guangxi smelter-grade acid prices climbing from 1,193.64 CNY/ton to 1,635.00 CNY/ton, and Guizhou acid from 1,244.55 CNY/ton to 1,626.00 CNY/ton over the same period. The supply chain impact unfolds as follows: sulfur shortages affect sulfuric acid producers within 1–2 weeks, leading to supply tightening. Acid-dependent pickling lines face input constraints within 3–7 days as inventories deplete. Cold-rolled steel production slows over the next 1–2 weeks due to disrupted acid supply. Finally, Baowu Steel's operations absorb the full impact within 2–4 weeks, as order fulfillment and production planning adjust. The cascading cost and supply pressures are set to impose significant operational and margin risks on China Baowu Steel Group within 8 weeks. Stakeholders are advised to monitor developments closely and prepare for potential disruptions.### Impact of Middle Eastern Supply Disruptions on China Baowu Steel Group
Middle Eastern supply disruptions have triggered significant cost and supply pressure on China Baowu Steel Group, with sulfur shortages impacting upstream acid producers within 14 days and cascading to Baowu’s operations within 28 days.
### Risk Propagation Pathway
SCRT identifies a risk propagation path: Middle East conflict disrupting China’s sulfur and sulfuric acid imports → sulfuric acid → pickling lines → cold-rolled steel → China Baowu Steel Group Co., Ltd.
SCRT, SupplyGraph.AI’s supply chain risk tracing framework, combines real-time intelligence with historical disruption patterns.
4 continuously updated 24/7 proprietary databases + SCRT risk tracing algorithms → risk propagation path
SCRT leverages a 400M+ global company database, a 1.5M+ industrial product database, a product dependency graph mapping raw materials, sub-components, and production-stage consumables alongside their manufacturers, and a 5M+ historical event database of supply chain disruptions. By learning from past incidents, SCRT continuously monitors global events affecting critical industrial inputs like sulfuric acid. It matches the current Middle East conflict with analogous historical cases, identifies sulfuric acid as a high-exposure node, and traces its usage in steel pickling processes. The system then follows the dependency chain through cold-rolled steel production to quantify Baowu’s exposure based on verified supplier-product relationships.
Every link in the chain reflects actual business dependencies documented in commercial and operational records. The path is constructed solely from data-driven representations of global supply network structures.
### Mechanism of Supply Chain Impact
Ultimately, any supply shock manifests in price—now evident in the sharp run-up of sulfur and downstream sulfuric acid across early 2026. As Middle Eastern conflict disrupted elemental sulfur imports through the Strait of Hormuz, Chinese spot prices for sulfur surged from 4,042.73 CNY/ton on January 23 to 6,095.67 CNY/ton by April 8, a 51% increase in just 11 weeks. This pressure transmitted rapidly to sulfuric acid markets, with Guangxi smelter-grade acid rising from 1,193.64 CNY/ton to 1,635.00 CNY/ton over the same period, and Guizhou acid climbing from 1,244.55 CNY/ton to 1,626.00 CNY/ton. The data underscore a clear cost pass-through mechanism along the identified risk path.
|Category|Product|Date|Price|
|--------|-------|----|-----|
|Industrial|Sulfur|2026-01-23|4042.73 CNY/ton|
|Industrial|Sulfur|2026-02-07|4121.67 CNY/ton|
|Industrial|Sulfur|2026-02-22|3841.33 CNY/ton|
|Industrial|Sulfur|2026-03-09|4038.18 CNY/ton|
|Industrial|Sulfur|2026-03-24|4760.61 CNY/ton|
|Industrial|Sulfur|2026-04-08|6095.67 CNY/ton|
|Sulfuric Acid|Guangxi Smelter Acid|2026-01-23|1193.64 CNY/ton|
|Sulfuric Acid|Guangxi Smelter Acid|2026-02-07|1298.00 CNY/ton|
|Sulfuric Acid|Guangxi Smelter Acid|2026-02-22|1350.00 CNY/ton|
|Sulfuric Acid|Guangxi Smelter Acid|2026-03-09|1395.45 CNY/ton|
|Sulfuric Acid|Guangxi Smelter Acid|2026-03-24|1404.55 CNY/ton|
|Sulfuric Acid|Guangxi Smelter Acid|2026-04-08|1635.00 CNY/ton|
|Sulfuric Acid|Guizhou Smelter Acid|2026-01-23|1244.55 CNY/ton|
|Sulfuric Acid|Guizhou Smelter Acid|2026-02-07|1335.00 CNY/ton|
|Sulfuric Acid|Guizhou Smelter Acid|2026-02-22|1400.00 CNY/ton|
|Sulfuric Acid|Guizhou Smelter Acid|2026-03-09|1418.18 CNY/ton|
|Sulfuric Acid|Guizhou Smelter Acid|2026-03-24|1422.73 CNY/ton|
|Sulfuric Acid|Guizhou Smelter Acid|2026-04-08|1626.00 CNY/ton|
The price shock propagated through the supply chain with measurable lags: sulfur shortages hit sulfuric acid producers within 1–2 weeks, triggering supply tightening; acid-dependent pickling lines faced input constraints within 3–7 days as inventories depleted; cold-rolled steel output then slowed over the following 1–2 weeks due to disrupted acid supply; and finally, Baowu Steel’s operations absorbed the full impact within 2–4 weeks as order fulfillment and production planning adjusted. Taken together, the cascading cost and supply pressure is set to impose significant operational and margin risk on China Baowu Steel Group within 8 weeks.
### **Can Baowu’s Mitigants Fully Absorb the Shock?**
While Baowu benefits from a diversified supplier base, substantial inventories, and long-term contracts, these safeguards may prove inadequate against a prolonged Middle Eastern supply disruption. Structural reliance on sulfuric acid for pickling lines remains, as alternative suppliers confront identical upstream sulfur shortages, undermining true diversification. Inventories offer only temporary relief, depleting rapidly under sustained pressure and disrupting production schedules. Long-term contracts, meanwhile, cannot shield against escalating prices and delivery delays that transmit downstream via market dynamics. These factors collectively expose Baowu to operational disruptions despite its mitigants.
### **Rebuttal: Historical Evidence Confirms Vulnerability**
Counterarguments emphasizing Baowu’s buffers overlook the potency of systemic upstream shocks, as evidenced by historical precedents and the precise risk propagation pathway. The 2021 Suez Canal blockage caused global shipping delays that cascaded into sulfuric acid shortages for Chinese steelmakers, including Baowu peers, resulting in pickling line slowdowns and downstream cost surges of up to 30%. Likewise, the 2018 U.S.-China trade tensions imposed export controls on critical inputs, propagating price volatility through acid-dependent steel chains and forcing production curtailments at major producers. These events mirror the current scenario: Middle East conflict disrupts China’s elemental sulfur imports via the Strait of Hormuz, constraining sulfuric acid output amid surging domestic demand from fertilizers and metallurgy. Acid producers, facing feedstock instability and logistics delays, curtail supply—elevating costs and tightening availability for Baowu’s pickling lines. Given steel processing’s just-in-time nature, even minor shortfalls amplify bottlenecks, eroding competitiveness through pass-through pricing and delaying order fulfillment in this interlinked chain.
### **Final Assessment: High-Impact Risk Materializes**
Geopolitical tensions in the Middle East, compounded by Strait of Hormuz vulnerabilities and China’s sulfuric acid dependencies, pose a **high-probability, high-impact risk** to China Baowu Steel Group (SCRT Risk Score: 0.85). Imported Middle Eastern sulfur underpins domestic acid production, essential for cold-rolled steel pickling. Early 2026 price data validate the transmission: sulfur surged 51% from 4,042.73 CNY/ton (Jan 23) to 6,095.67 CNY/ton (Apr 8), with Guangxi smelter-grade acid rising from 1,193.64 CNY/ton to 1,635.00 CNY/ton and Guizhou acid from 1,244.55 CNY/ton to 1,626.00 CNY/ton. Diversified suppliers, inventories, and contracts falter against systemic constraints, as alternatives face parallel shortages. Historical cases—the 2021 Suez blockage and 2018 trade tensions—confirm shocks propagate to steel lines in 3–4 weeks, causing slowdowns and margin erosion. Concurrent acid demand from fertilizers and non-ferrous metals exacerbates tightness. The SCRT pathway (Middle East conflict → sulfur → sulfuric acid → pickling → cold-rolled steel) is empirically substantiated, affirming Baowu’s direct exposure.
The above event tracking and supply chain risk analysis for China Baowu Steel Group 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 **China Baowu Steel Group**
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., **China Baowu Steel Group**), 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.
中国宝武钢铁集团有限公司 Profile
China Baowu Steel Group Corporation Limited is a state-owned iron and steel company headquartered in Shanghai, China. As one of the largest steel producers in the world, it plays a crucial role in the global steel industry. The company is involved in the production of a wide range of steel products and is committed to sustainable development and technological innovation.
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.