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Strait of Hormuz Disruption Poses Margin Risk for China Baowu Steel Group

Geopolitical Risk | Bloomberg
In late February 2026, the United States and Israel launched joint airstrikes on multiple facilities in Iran, leading Iran to declare control over the Strait of Hormuz. This action nearly halted maritime traffic in the region, a crucial passage for global exports of oil, LNG, ammonia, and sulfur. The blockade significantly impacted China's sulfur imports, as approximately 40% of its sulfur comes from Middle Eastern countries like Iran, UAE, and Saudi Arabia. Chinese port inventories dropped to about 1.8 million tons, sufficient for only 1.2 to 1.5 months of spring farming and industrial use. Sulfur prices surged, with local mainstream transaction prices rising to around RMB 4,250 per ton. This event directly disrupted China's reliance on sulfur resources and could affect downstream products.

Dependency Graph-Based Risk Analysis for 中国宝武钢铁集团有限公司 (Cold Rolled Steel Sheet)

Attention: A significant supply chain disruption event is unfolding, with severe implications for China Baowu Steel Group. The Strait of Hormuz has experienced a traffic disruption, leading to a tightening of sulfur supply chains globally. This event is projected to impact China Baowu Steel Group within 56 days, with upstream feedstock constraints emerging as early as 14 days from the initial disruption. The risk propagation path identified by SCRT is as follows: Hendaise Strait traffic disruption → Sulfur Mines → Sulfuric Acid → Pickling Line → Cold Rolled Steel → China Baowu Steel Group Corporation. This path is recognized by the SCRT framework, which employs four continuously updated 24/7 proprietary databases and advanced algorithms to ensure data-driven, objective, and traceable results. The disruption has triggered a cascading price surge across the sulfur-to-steel value chain. Sulfur prices in China escalated from CNY 4,038 per ton on March 9 to CNY 6,160 by April 8. Concurrently, sulfuric acid prices rose from CNY 1,395 to CNY 1,635, and hot-rolled coil steel increased from USD 1,007 to USD 1,070 per ton. This price escalation mechanism highlights the cost pass-through along the identified risk path. Following the initial maritime blockade, sulfur supply tightened within 1–2 weeks, depleting port inventories and increasing raw material costs for sulfuric acid producers. These producers, facing constrained feedstock and limited inventory buffers, passed higher costs downstream within 1–3 weeks. This pressure reached acid-washing lines within another 1–2 weeks, disrupting cold-rolled coil production schedules due to delivery constraints on acid supply. Given that cold-rolled steel is often fed directly into integrated mills like Baowu’s with minimal inventory, the cumulative lag from the initial Strait disruption to operational impact at Baowu totals approximately 8 weeks. The sustained cost-driven pressure along this tightly coupled supply chain is set to impose significant margin risk on China Baowu Steel Group within 8 weeks of the initial disruption.

### Cost-Driven Pressure Impact A significant cost-driven pressure stemming from supply tightening in the Strait of Hormuz is set to impact China Baowu Steel Group within 56 days of the initial disruption, following upstream feedstock constraints that emerged within 14 days. ### Risk Propagation Pathway SCRT identifies a risk propagation path: Hendaise Strait traffic disruption leads to global sulfur supply chain interruption -> Sulfur Mines -> Sulfuric Acid -> Pickling Line -> Cold Rolled Steel -> China Baowu Steel Group Corporation SCRT, SupplyGraph.AI's supply chain risk tracking framework, utilizes advanced data analytics to identify such paths. 4 continuously updated 24/7 proprietary databases + SCRT risk tracing algorithms → risk propagation path The framework leverages four proprietary 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, production-stage consumables, and associated manufacturers for each product, and (iv) a 5M+ global historical event database capturing supply chain disruptions and risk events. By learning patterns from historical supply chain disruption events and continuously tracking global events with a focus on key industrial products, SCRT matches real-time events with historical cases to identify risks affecting China Baowu Steel Group. 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 based on data-driven supply chain structures. ### Price Escalation Mechanism Ultimately, any supply shock manifests in price movements, and the disruption in the Strait of Hormuz has triggered a cascading surge across the sulfur-to-steel value chain. Tracking key inputs reveals a sharp escalation: sulfur prices in China jumped from CNY 4,038 per ton on March 9 to CNY 6,160 by April 8, while sulfuric acid (Guangxi smelter grade) rose from CNY 1,395 to CNY 1,635 over the same period. Hot-rolled coil (HRC) steel, a downstream proxy, climbed from USD 1,007 to USD 1,070 per ton between March 9 and April 8. The data underscore a clear cost pass-through mechanism along the identified risk path. Following the initial maritime blockade, sulfur supply tightened within 1–2 weeks as port inventories depleted, pushing up raw material costs for sulfuric acid producers. Acid manufacturers, facing constrained feedstock and limited inventory buffers, passed higher costs downstream within 1–3 weeks. This pressure reached acid-washing lines—critical for surface treatment in steelmaking—within another 1–2 weeks, disrupting cold-rolled coil production schedules due to delivery constraints on acid supply. Given that cold-rolled steel is often fed directly into integrated mills like Baowu’s with minimal inventory, the cumulative lag from the initial Strait disruption to operational impact at Baowu totals approximately 8 weeks. |Category|Product|Date|Price| |--------|--------|------|-------| |Industrial|Sulfur|2026-03-09|4038.18 CNY/T| |Industrial|Sulfur|2026-04-08|6159.70 CNY/T| |Sulfuric Acid|Guangxi Smelter Grade|2026-03-09|1395.45 CNY/T| |Sulfuric Acid|Guangxi Smelter Grade|2026-04-08|1635.00 CNY/T| |Metals|HRC Steel|2026-03-09|1006.91 USD/T| |Metals|HRC Steel|2026-04-08|1070.20 USD/T| Taken together, the sustained cost-driven pressure along this tightly coupled supply chain is set to impose significant margin risk on China Baowu Steel Group within 8 weeks of the initial disruption. ### **Will Baowu's Resilience Fully Mitigate the Risk?** Despite the identified risk propagation pathway, an alternative view posits that China Baowu Steel Group may experience limited supply chain disruption from the Strait of Hormuz incident. As one of the world's largest integrated steel producers, Baowu likely benefits from diversified procurement for critical inputs like sulfuric acid, including domestic sulfur sources and long-term contracts with multiple suppliers. China generates a substantial share of its sulfuric acid from smelting by-products and domestic recovery processes, curtailing dependence on imported elemental sulfur. Integrated mills often maintain strategic inventories of key chemicals or operate captive acid regeneration units to cushion short- to medium-term volatility. Furthermore, alternative surface treatments or operational adjustments could offset pickling disruptions. Historical sulfur shortages demonstrate that major Chinese steelmakers have historically absorbed cost hikes without significant output interruptions, underscoring supply architecture resilience. Thus, while cost pressures may persist, structural and strategic safeguards could substantially dampen operational risks to Baowu. ### **Why Mitigation Measures Fall Short: Evidence from Data and Precedents** Baowu's diversified sourcing and inventories offer valid defenses, yet these may falter against the current shock's intensity and speed. First, domestic sulfuric acid from smelting by-products runs near full capacity under baseline conditions and lacks surge potential to counter a 40% cut in elemental sulfur imports—essential for merchant acid producers feeding pickling lines. Industry data reveal China's sulfuric acid output is finely balanced between captive use (e.g., mining, metallurgy) and merchant markets, with no excess slack. Long-term contracts, though stabilizing, often incorporate *force majeure* provisions enabling allocation cuts during crises, failing to ensure steady supply amid geopolitical strain. Second, inventory buffers prove inadequate for extended disruptions. The Huaneng Group case exemplifies this: despite controlling 55% of its coal and holding reserves, the 2022 winter crisis necessitated 5,000 tons/day emergency transports to avert shutdowns. Such buffers suffice for 1–2 weeks but deplete over prolonged interruptions, as with the ongoing Strait blockade lacking a clear resolution. Third, process switches to alternative treatments, while viable, entail high costs, recalibration delays, and quality risks often outweighing elevated acid prices. The sulfur → sulfuric acid → pickling → cold-rolled steel chain is tightly linked, with delays cascading downstream. Unlike milder past sulfur events, this combines low port stocks (1.8 million tons, 1.2–1.5 months' cover), 52.6% price spikes, and geopolitical flux—imposing unprecedented stress. Baowu's resilience tempers but does not neutralize the 8-week cost transmission to production economics. ### **Integrated Risk Assessment: Elevated Margin Pressure Ahead** The late February 2026 Strait of Hormuz disruption has unleashed a severe global sulfur supply shock, rippling through China's sulfuric acid chain to steelmakers like Baowu. Structural strengths—diversified procurement, captive regeneration, and inventories—provide buffers, yet fall short against the event's scale and persistence. With 40% of imports from the Middle East and port stocks at 1.2–1.5 months, sulfuric acid faces imminent strain. The interdependent sulfur–acid–pickling–cold-rolled steel chain accelerates propagation: sulfur prices leaped 52.6% in a month, trailed by acid hikes, squeezing pickling vital for cold-rolled output. Domestic by-product production offers partial relief, but spare capacity cannot absorb this magnitude. Huaneng's 2022 coal saga affirms that even robust firms strain when buffers exhaust. Amid uncertain Strait reopening and the 8-week lag to mill impacts, Baowu confronts substantial cost-driven margin erosion and scheduling risks. **Risk Score: 0.75** (High severity).

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.
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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, Baowu plays a critical role in the global steel industry. The company is involved in the production, processing, and distribution of steel products, and it is committed to sustainable development and technological innovation in the steel sector.

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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.