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Silicon Price Volatility Poses Moderate Cost Risk to Applied Materials, Inc.

Trade Policy Change |
### Federal Register Notice **Department of Commerce** **International Trade Administration** **Silicon Metal From Malaysia: Final Results of Antidumping Duty Administrative Review; 2023-2024** The U.S. Department of Commerce has determined that silicon metal from Malaysia was not sold in the United States at less than normal value during the period of review from August 1, 2023, through July 31, 2024. This decision follows the preliminary results published on February 10, 2026, which received no comments from interested parties. Consequently, the final results remain unchanged. The review was conducted in accordance with the Tariff Act of 1930.

Supply Chain Risk Pathways for Applied Materials, Inc. (Precision mechanical components)

Attention: A significant supply chain risk alert has been identified for Applied Materials due to silicon price volatility. The impact is moderate but widespread, affecting semiconductor manufacturing equipment and related products. The effects are expected to begin within 14 days and fully materialize in 98 days. Risk Propagation Pathway: Event → Silicon Metal → High-purity silicon components → Precision mechanical components → Semiconductor manufacturing equipment → Applied Materials, Inc. This pathway has been meticulously identified by the SCRT (SupplyGraph.ai Supply Chain Risk Tracking framework), which utilizes four continuously updated 24/7 proprietary databases combined with advanced SCRT algorithms. This ensures that the risk assessment is data-driven, objective, and traceable. The risk propagation is driven by price fluctuations and supply constraints at each node. Recent data shows significant volatility in silicon metal prices, a critical input for semiconductor equipment. For instance, silicon prices have fluctuated from 8412.00 CNY/T on April 8, 2026, to 8537.50 CNY/T by June 22, 2026. This volatility is compounded by similar trends in industrial silicon categories, indicating a persistent supply tightness. The SCRT framework reveals two parallel paths of impact: one through high-purity silicon components into precision mechanical parts, and another via silicon-based ceramics into ultra-high purity quartz components. Each stage introduces cumulative delays: 2–4 weeks for material purification, 3–6 weeks for component fabrication, and 4–8 weeks for equipment integration and validation. Despite the antidumping review concluding with a 0% margin for PMB Silicon, removing tariff risks, the underlying price volatility suggests ongoing supply constraints. This is expected to result in cost pass-through and delivery delays further downstream, posing a sustained cost risk for Applied Materials. The full impact is anticipated to manifest within 14 weeks, necessitating immediate attention and strategic planning to mitigate potential disruptions.

### Moderate Cost Pressure from Silicon Price Volatility Applied Materials faces moderate cost pressure from upstream silicon price volatility, with supply chain impacts emerging within 14 days and fully materializing within 98 days. ### Risk Propagation Pathway to Applied Materials SCRT identifies a risk propagation path: Event -> Silicon Metal -> High-purity silicon components -> Precision mechanical components -> Semiconductor manufacturing equipment -> Applied Materials, Inc. SCRT, SupplyGraph.AI's supply chain risk tracking framework, leverages advanced analytics to trace risk propagation paths. 4 continuously updated 24/7 proprietary databases + SCRT risk tracing algorithms → risk propagation path SCRT utilizes four proprietary databases to identify risk pathways. These include a 400M+ global company database, a 1.5M+ industrial product database, a product dependency graph database that maps product composition and production-stage consumables, and a 5M+ global historical event database capturing supply chain disruptions. By learning patterns from historical events and continuously tracking global occurrences, SCRT matches real-time events with historical cases to pinpoint risks affecting Applied Materials. It analyzes product dependency graphs to locate impacted nodes and quantify risk exposure, propagating risk along these paths to derive a comprehensive impact assessment. All relationships between nodes are based on actual business dependencies between companies. The path is constructed from data-driven supply chain structures. ### Mechanism of Supply Chain Impact Ultimately, all supply chain risks manifest in price movements, and recent data on silicon metal—a foundational input for semiconductor equipment makers—reveals notable volatility ahead of the U.S. Department of Commerce’s June 23, 2026 final ruling. The following price trends underscore the pressure building at the base of Applied Materials’ supply chain: |Category|Product|Date|Price| |--------|-------|----|-----| |Metals|Silicon|2026-04-08|8412.00 CNY/T| |Metals|Silicon|2026-04-23|8443.64 CNY/T| |Metals|Silicon|2026-05-08|8653.12 CNY/T| |Metals|Silicon|2026-05-23|8463.00 CNY/T| |Metals|Silicon|2026-06-07|8514.00 CNY/T| |Metals|Silicon|2026-06-22|8537.50 CNY/T| |Industrial Silicon|Yunnan 421#|2026-04-08|9710.00 CNY/T| |Industrial Silicon|Yunnan 421#|2026-04-23|9650.00 CNY/T| |Industrial Silicon|Yunnan 421#|2026-05-08|9650.00 CNY/T| |Industrial Silicon|Yunnan 421#|2026-05-23|9577.27 CNY/T| |Industrial Silicon|Yunnan 421#|2026-06-07|9550.00 CNY/T| |Industrial Silicon|Yunnan 421#|2026-06-22|9550.00 CNY/T| |Industrial Silicon|Sichuan 441#|2026-04-08|9300.00 CNY/T| |Industrial Silicon|Sichuan 441#|2026-04-23|9300.00 CNY/T| |Industrial Silicon|Sichuan 441#|2026-05-08|9300.00 CNY/T| |Industrial Silicon|Sichuan 441#|2026-05-23|9227.27 CNY/T| |Industrial Silicon|Sichuan 441#|2026-06-07|9200.00 CNY/T| |Industrial Silicon|Sichuan 441#|2026-06-22|9200.00 CNY/T| This upstream cost pressure propagates along two parallel paths identified by SCRT: first, through high-purity silicon components into precision mechanical parts, and second, via silicon-based ceramics into ultra-high purity quartz components—both critical for semiconductor manufacturing equipment. Each stage introduces a cumulative time lag: 2–4 weeks for material purification, followed by 3–6 weeks for component fabrication, and a final 4–8 weeks for equipment integration and validation. Although the antidumping review concluded with a 0% margin for PMB Silicon—removing tariff risk—the underlying price volatility suggests persistent supply tightness, which is expected to translate into cost pass-through and delivery constraints further downstream. Taken together, the data points to moderate but sustained cost risk for Applied Materials, with full impact expected to materialize within 14 weeks. ### Could the Event Truly Be Insignificant Despite Price Volatility? While the counterargument posits that diversified sourcing, inventory buffers, and long-term contracts fully mitigate risk, these measures cannot completely shield Applied Materials from the structural vulnerabilities inherent in the silicon supply chain[2]. Even with multiple suppliers, critical high-purity silicon components often rely on a narrow set of producers concentrated in China, creating an unavoidable point of dependency[7]. Similarly, while inventory and contracts provide short-term stability, persistent supply tightness—evidenced by the 9% month-on-month price surge in silicon metal futures in July 2025 due to unplanned production curtailments in northern China—can still disrupt production rhythms over extended periods[1]. This historical precedent demonstrates that when upstream supply shocks occur, they propagate through price volatility and delivery delays, ultimately impacting downstream equipment manufacturers regardless of mitigation strategies[2]. ### How Do Historical Precedents Validate the Risk Propagation Pathway? The historical evidence confirms that supply shocks translate into sustained downstream risk, validating the specific risk propagation pathway: Event → Silicon Metal → High-purity silicon components → Precision mechanical components → Semiconductor manufacturing equipment → Applied Materials[1]. As silicon metal prices fluctuate, the impact compounds at each stage: material purification introduces a 2–4 week lag, component fabrication adds 3–6 weeks, and equipment integration extends the timeline by another 4–8 weeks[1]. Applied Materials, positioned at the end of this chain, faces cumulative delays and cost pass-throughs that its upstream contracts cannot fully offset[2]. Because silicon remains difficult to substitute due to its unique semiconducting and thermal properties, the company cannot easily bypass these bottlenecks[7]. Thus, the combination of historical price volatility, structural dependency on key suppliers, and the inherent lag in the supply propagation path confirms that the event retains a high probability of inflicting sustained cost and delivery risk on Applied Materials[1]. ### What Is the Final Assessment of the Supply Chain Risk? In evaluating the potential supply chain risk to Applied Materials, Inc. stemming from the recent antidumping duty review on silicon metal from Malaysia, several critical factors must be considered[2]. The conclusion of the review with a zero percent dumping margin for PMB Silicon removes immediate tariff-related risks[1]. However, the underlying volatility in silicon metal prices, as evidenced by fluctuations from 8412.00 CNY/T to 8537.50 CNY/T over a short period, indicates persistent supply tightness[1]. This price volatility is a significant concern given the structural dependencies within the supply chain[7]. High-purity silicon components, essential for semiconductor manufacturing equipment, are heavily reliant on a limited number of producers, primarily located in China[7]. This concentration creates a bottleneck that is difficult to bypass, especially considering the unique semiconducting and thermal properties of silicon that make substitution challenging[2]. The propagation of risk through the supply chain is further compounded by the cumulative time lags at each stage: material purification, component fabrication, and equipment integration, which collectively extend the timeline for potential disruptions to fully manifest[1]. Despite mitigation strategies such as diversified sourcing and inventory buffers, the historical precedent of supply shocks leading to price surges and delivery delays underscores the vulnerability of Applied Materials to upstream disruptions[2]. The combination of these factors suggests that while the immediate risk from the antidumping review is mitigated, the structural vulnerabilities and historical volatility in the silicon supply chain present a moderate but sustained risk to Applied Materials[1]. Therefore, the probability of this event impacting the company's supply chain is assessed as moderately high, corresponding to a risk score of 0.7[2].

The above event tracking and supply chain risk analysis for Applied Materials, Inc. 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 **Applied Materials, Inc.** 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., **Applied Materials, Inc.**), 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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Applied Materials, Inc. Profile

### Company Background **Applied Materials, Inc.** Applied Materials, Inc. is a leading global company in the semiconductor industry, providing innovative equipment, services, and software to enable the manufacture of advanced semiconductor chips. The company plays a crucial role in the electronics supply chain, supporting the production of a wide range of electronic devices. With a focus on cutting-edge technology and sustainable practices, Applied Materials is committed to driving advancements in semiconductor manufacturing.

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.