Strait of Hormuz Closure Triggers Cost-Driven Risk for China Baowu Steel Group

Geopolitical Risk | Financial Times / Reuters

Tracing Risk Propagation to 中国宝武钢铁集团有限公司 (Cold Rolled Steel Sheet)

Attention: A significant supply chain disruption is impacting China Baowu Steel Group. The closure of the Strait of Hormuz has triggered a critical supply chain risk, with sulfur supply disruptions expected to affect the company within 56 days. This event is poised to exert severe cost pressures and operational delays across Baowu's production lines. Risk Propagation Pathway: The SCRT framework has identified the following risk pathway: Iran war → Hormuz Strait transport disruption → Sulfur Mines → Sulfuric Acid → Pickling Line → Cold Rolled Steel → China Baowu Steel Group Corporation. This pathway is derived from SCRT's data-driven analysis, leveraging four continuously updated 24/7 proprietary databases and advanced risk tracing algorithms. The SCRT framework utilizes a comprehensive approach, integrating a global company database, an industrial product database, a product dependency graph, and a historical event database. By analyzing these data sources, SCRT identifies real-time risks and quantifies their impact on Baowu's operations, ensuring objective, traceable, and data-driven insights. Mechanism of Impact: The closure of the Strait of Hormuz has led to a sharp increase in sulfur prices, escalating from 4,038.18 CNY/ton on March 9 to 6,159.70 CNY/ton by April 8. This price surge has propagated downstream, affecting sulfuric acid prices and subsequently impacting pickling lines and cold-rolled steel production. The supply shock has been exacerbated by inventory drawdowns and procurement cycle lags, with sulfur shortages affecting sulfuric acid production within 2–4 weeks, and further delays in cold-rolled steel output by 1–3 weeks. Given Baowu's reliance on just-in-time inputs and limited sulfur reserves, these cascading delays and cost increases are now directly impacting its manufacturing operations. The cumulative effect of these disruptions is expected to exert material margin pressure on China Baowu Steel Group within 8 weeks of the initial Strait disruption. Immediate attention and strategic adjustments are imperative to mitigate these risks.

### Cost-Driven Risk Impact on China Baowu Steel Group A significant cost-driven risk is pressuring China Baowu Steel Group, with upstream sulfur supply disruptions emerging within 14 days of the Strait of Hormuz closure and cascading into the company's operations within 56 days. ### Risk Propagation Pathway from Hormuz Closure SCRT identifies a risk propagation path: Iran war leads to Hormuz Strait transport disruption, causing a significant setback in sulfur exports -> Sulfur Mines -> Sulfuric Acid -> Pickling Line -> Cold Rolled Steel -> China Baowu Steel Group Corporation SCRT, SupplyGraph.AI's supply chain risk tracking framework, utilizes a sophisticated approach to identify risk pathways. 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, and (iv) a 5M+ global historical event database capturing supply chain disruptions and risk events. SCRT learns patterns from historical supply chain disruption events and continuously tracks global events with a focus on key industrial products. By matching real-time events with historical cases, it identifies risks affecting China Baowu Steel Group. The analysis of product dependency graphs allows SCRT to locate impacted nodes and quantify risk exposure, propagating risk along dependency paths to derive the final impact assessment. All relationships between nodes stem from actual business dependencies between companies. The path is constructed based on data-driven supply chain structures. ### Mechanism of Supply Chain Impact Ultimately, any supply shock manifests in price—nowhere more clearly than along the sulfur-to-steel chain disrupted by the Strait of Hormuz closure. Market data reveal a sharp escalation in key input costs following the March 2 transport halt, with sulfur prices surging from 4,038.18 CNY/ton on March 9 to 6,159.70 CNY/ton by April 8. This pressure propagated downstream: Guangxi smelter-grade sulfuric acid rose from 1,395.45 CNY/ton on March 9 to 1,635.00 CNY/ton on April 8, while Guizhou’s equivalent climbed from 1,418.18 to 1,626.00 CNY/ton over the same period. The transmission followed a predictable rhythm dictated by inventory drawdowns and procurement cycles—sulfur shortages began impacting sulfuric acid production within 2–4 weeks, consistent with contract renewal lags. Acid supply constraints then rippled into acid pickling lines within 1–2 weeks due to fixed production cadences, subsequently delaying cold-rolled steel output by another 1–3 weeks. Given Baowu’s reliance on just-in-time inputs and limited strategic sulfur reserves, these cascading delays and cost increases are now feeding directly into its manufacturing operations. |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|6159.70 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| Cumulatively, the data point to a severe cost-driven risk that is set to exert material margin pressure on China Baowu Steel Group within 8 weeks of the initial Strait disruption. ### Will Hormuz Disruption Bypass Baowu’s Supply Resilience? Counterarguments posit that China Baowu Steel Group faces limited supply chain risk from the Strait of Hormuz closure, owing to its robust supply diversification and domestic production capabilities. China primarily sources sulfur and sulfuric acid from domestic outlets or non-Middle Eastern suppliers, minimizing direct reliance on Gulf-origin sulfur. As a major sulfur producer via its vast oil refining and metallurgical sectors, China maintains substantial, geographically dispersed sulfuric acid capacity. Baowu and peer steelmakers typically secure multi-sourcing contracts for pickling-grade sulfuric acid, supplemented by short-term inventory buffers and annual agreements that shield against spot-market volatility. The assumed linear dependency on Middle Eastern sulfur overlooks global trade dynamics, where Asian sulfuric acid markets remain decoupled from Gulf exports due to logistical hurdles and cost inefficiencies. Historical evidence from the 2019–2020 Hormuz tensions corroborates this, revealing negligible effects on Chinese steel production costs as domestic supply absorbed demand fluctuations. Thus, even amid elevated global sulfur prices, transmission to Baowu’s costs may prove muted or extend beyond the 56-day horizon. ### Why Risks Persist Despite Diversification Safeguards While diversification, domestic capacity, inventories, and past resilience during 2019–2020 tensions offer partial protection, these measures fall short against the scale of the current Hormuz closure. Structural ties to global sulfur pricing endure, as Middle Eastern exports dominate seaborne trade, shaping spot benchmarks and contract pricing irrespective of physical sourcing[2][3]. Initial buffers from inventories and long-term contracts erode under sustained disruptions, amplified by soaring insurance premiums and rerouting delays, which disrupt just-in-time acid pickling operations[1]. Upstream shocks cascade downstream through price surges and elongated lead times, as demonstrated by the 52% sulfur price spike from 4,038.18 CNY/ton on March 9 to 6,159.70 CNY/ton by April 8, trailed by sulfuric acid hikes in Guangxi (1,395.45 to 1,635.00 CNY/ton) and Guizhou (1,418.18 to 1,626.00 CNY/ton)[2]. Historical parallels reinforce this exposure: FSU and Middle East sulfur constraints during 2024–2025, combined with Indonesia’s nickel boom, propelled global prices over 600% in two years, peaking at $531/t fob Middle East and squeezing steel margins via sulfuric acid linkages[4]. The present West Asia conflict has already lifted Chinese sulfur prices 15%, impacting over 44,000 downstream firms in metals processing[2]. These episodes highlight propagation via pricing interconnectivity and dependency graphs akin to today’s scenario. In the pinpointed pathway, Iran war-induced Hormuz interruptions curb sulfur exports from Saudi Arabia, Iran, and Kuwait, constricting mine outputs and inflating sulfuric acid costs. This flows to pickling lines, delaying surface treatment and cold-rolled steel vital to Baowu’s premium lines. Positioned downstream with scant strategic reserves and just-in-time reliance, Baowu struggles to evade cost pass-throughs and bottlenecks materializing within 56 days, imposing tangible margin strain. ### Balanced Assessment: Elevated Risk Profile Ahead The Strait of Hormuz closure amid the Iran war presents a multifaceted risk to China Baowu Steel Group, underscored by sulfur prices surging 52% from 4,038.18 CNY/ton (March 9, 2026) to 6,159.70 CNY/ton (April 8, 2026), followed by sulfuric acid rises in Guangxi and Guizhou markets. These escalate input costs for Baowu’s acid pickling processes, critical to cold-rolled steel output. Risk propagates via sulfur dependencies: mine disruptions → sulfuric acid shortfalls → pickling delays → steel production impacts. Despite domestic sulfur output and sourcing diversity, global pricing linkages and supply chain interconnectivity expose Baowu to shocks. The 2024–2025 precedents affirm cost pressures persisting beyond domestic buffers. Prolonged shipping halts and insurance hikes further undermine inventories and contracts. Thus, while resilience tempers some effects, structural vulnerabilities signal a high probability of material margin impacts within 56 days, yielding a **relatively high risk rating (0.7)**.

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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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.