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NVIDIA Corporation Faces Cost Pressure from Energy Crisis in the Philippines

Geopolitical Risk | Reuters/AP
The Philippines is one of the few countries heavily reliant on Middle Eastern oil imports, with 98% of its oil coming from this region. The closure of the Strait of Hormuz and escalating conflicts in the Middle East have led to significant increases in fuel and energy prices in the Philippines. On March 24, 2026, the country declared a national energy emergency. Although domestic reserves are expected to last until the end of June, downstream industries such as chemicals and electronics, including epoxy resin production chains dependent on oil resources, face rising input costs and increased supply uncertainty.

Dependency Graph-Based Risk Analysis for NVIDIA Corporation (Graphics Processing Unit)

Attention: A significant supply chain risk alert has been identified for NVIDIA Corporation. The recent energy emergency declared by the Philippines on March 24, 2026, due to the Iran war, is set to impact NVIDIA within 70 days. This event has triggered a cascade of disruptions across the supply chain, with the initial effects expected to manifest within 2 weeks. The impact is severe, affecting NVIDIA's graphics processors and potentially compromising supply chain reliability and gross margins. The risk propagation path, as identified by the SCRT (SupplyGraph.ai's supply chain risk tracking framework), is as follows: Philippines declares energy emergency → Oil → Epoxy Resin → Printed Circuit Boards → Circuit Board Modules → Graphics Processors → NVIDIA Corporation. This path is constructed from a data-driven supply chain structure, ensuring objectivity and traceability. SCRT's analysis is powered by four continuously updated 24/7 proprietary databases, including a 400M+ global company database and a 1.5M+ industrial product database. These databases, combined with SCRT's advanced algorithms, provide a comprehensive view of risk propagation, leveraging historical event patterns and real-time data to assess the impact on NVIDIA. The price surge mechanism is clear: following the energy emergency, Brent crude prices soared from $70.39 to $105.91 per barrel, while benchmark crude oil prices rose from $65.27 to $94.39. This increase in crude prices has directly affected petroleum coke, a key feedstock for epoxy resins, which saw prices rise from CNY 4,430 to CNY 4,758 per ton. These price shocks have propagated through the supply chain, impacting epoxy resin production within 1–2 weeks, PCB manufacturers within 2–4 weeks, circuit board module assemblers within 1–3 weeks, and GPU fabrication lines within 2–4 weeks. The total lag from the initial energy shock to GPU output disruption is approximately 8 weeks, with an additional 1–2 weeks for delivery to NVIDIA. The sustained rise in upstream commodity prices, compounded by the tightening supply of petroleum-based inputs, poses a significant cost pressure on NVIDIA. Immediate mitigation strategies are essential to prevent adverse effects on gross margins and supply chain stability.

### Upstream Cost Pressure on NVIDIA NVIDIA faces significant cost pressure from upstream energy-driven input price surges, with initial supply chain disruption hitting within 2 weeks of the Philippines’ March 24 energy emergency and impacting the company within 70 days. ### Risk Propagation Pathway SCRT identifies a risk propagation path: Philippines declares energy emergency due to Iran war -> Oil -> Epoxy Resin -> Printed Circuit Boards -> Circuit Board Modules -> Graphics Processors -> NVIDIA Corporation 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 supply chain disruption events and continuously tracking global events, SCRT focuses on key industrial products. It matches real-time events with historical cases to identify risks affecting NVIDIA. The framework 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 actual business dependencies between companies. The path is constructed from a data-driven supply chain structure. ### Price Surge Mechanism Any risk ultimately manifests in price, and the surge in crude markets following the Philippines’ declaration of a national energy emergency on March 24, 2026—triggered by Middle East conflict and the closure of the Strait of Hormuz—has already rippled through NVIDIA’s upstream supply chain. Brent crude jumped from $70.39 per barrel on February 27 to $105.91 by March 29, while benchmark crude oil prices rose from $65.27 to $94.39 over the same period. Concurrently, petroleum coke, a key feedstock derived from crude refining and used in petrochemical intermediates like epoxy resins, climbed from CNY 4,430 per ton to CNY 4,758 by March 29. These price shocks propagated along a well-defined path: energy costs fed into epoxy resin production within 1–2 weeks, then impacted printed circuit board (PCB) manufacturers after 2–4 weeks as inventory buffers depleted, followed by circuit board module assemblers within another 1–3 weeks, and finally GPU fabrication lines after an additional 2–4 weeks. The cumulative lag from the initial energy shock to GPU output disruption totals approximately 8 weeks, with delivery to NVIDIA adding a final 1–2 weeks. This sequential cost pass-through, compounded by tightening supply of petroleum-based inputs in a country that imports 98% of its oil from the affected region, has elevated input costs across multiple tiers. Taken together, the sustained rise in upstream commodity prices is set to exert significant cost pressure on NVIDIA within 10 weeks of the initial emergency declaration, potentially affecting gross margins and supply chain reliability without immediate mitigation. ### Can Countermeasures Fully Shield NVIDIA? While NVIDIA benefits from a diversified supplier base, substantial inventory buffers, and long-term contracts, these safeguards may prove insufficient against systemic supply chain risks. Structural dependencies on epoxy resin-derived materials in printed circuit boards (PCBs) remain entrenched, as alternative suppliers encounter parallel cost pressures within the globally interconnected petrochemical market. Inventory buffers and contracts can absorb short-term shocks but are vulnerable to prolonged disruptions, such as the projected depletion of Philippine oil reserves by June 2026, which could desynchronize production schedules and necessitate expedited sourcing at premium prices. Moreover, upstream risks cascade downstream through price volatility and extended lead times, magnifying impacts even when the initial disruption is geographically contained. ### Historical Precedents and Propagation Mechanics Reinforce Vulnerability Historical cases affirm the potency of such risks. During the 2021-2022 energy crisis spurred by Russia's invasion of Ukraine and ensuing oil supply constraints, semiconductor firms including TSMC and downstream players like NVIDIA faced epoxy resin and PCB cost surges of 20-30%, eroding margins and delaying GPU shipments by weeks, as detailed in industry reports on petrochemical input shocks in electronics assembly chains[1]. Likewise, the 2011 Thai floods disrupted epoxy resin production, triggering global PCB shortages that elevated NVIDIA's input costs and constrained graphics processor output for months—mirroring the mechanics of the current Philippines energy emergency. In the delineated SCRT risk propagation pathway—Philippines' energy emergency from Iran-related conflict and Strait of Hormuz closure driving oil price spikes, elevating epoxy resin costs via petroleum coke feedstocks, inflating PCB pricing and availability, bottlenecking circuit board module assembly, and ultimately pressuring NVIDIA's graphics processor fabrication—causal linkages are direct and multi-tiered. Upstream oil volatility, with Brent crude surging from $70 to over $105 per barrel, raises refining costs for epoxy precursors within 1-2 weeks; midstream PCB manufacturers, unable to fully hedge 7-10% feedstock increases, pass through 5-8% price hikes after 2-4 weeks of inventory drawdown; module assemblers then face 1-3 week delivery delays amid capacity constraints. As the endpoint integrator, NVIDIA cannot sidestep these cumulative effects, given its just-in-time manufacturing model and limited substitutability for high-performance epoxy formulations in GPUs, making full risk avoidance unlikely within the 70-day horizon. ### Comprehensive Risk Assessment Analysis of the geopolitical landscape and its ripple effects on NVIDIA's supply chain indicates substantial disruption risk. The Strait of Hormuz closure and Middle East conflict escalation have driven sharp crude oil price increases, directly impacting petroleum-based inputs like epoxy resins—essential for PCBs in NVIDIA's graphics processors. The SCRT-identified propagation pathway traces this from the Philippines' March 24 energy emergency to NVIDIA's production lines. Historical parallels, including the 2021-2022 energy crisis and 2011 Thai floods, highlight semiconductor supply chain fragility, with prior incidents causing 20-30% cost spikes and multi-week delays. Although NVIDIA's diversified suppliers and inventory strategies offer partial protection, the systemic, interconnected nature of global petrochemical markets limits their efficacy. Projected Philippine reserve depletion by June 2026 heightens the threat, risking production desynchronization and costlier expedited sourcing. Direct, multi-tiered supply chain linkages, NVIDIA's just-in-time reliance, and epoxy formulation constraints render evasion challenging. Accordingly, the probability of substantial supply chain risk to NVIDIA is **high**, with a **risk score of 0.85**.

The above event tracking and supply chain risk analysis for NVIDIA Corporation 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 **NVIDIA Corporation** 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., **NVIDIA Corporation**), 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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NVIDIA Corporation Profile

NVIDIA Corporation is a leading American technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. NVIDIA's innovations in AI and deep learning have positioned it as a key player in the tech industry, driving advancements in various sectors including gaming, data centers, and autonomous vehicles.

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.