SciRisk 100 · Technology Hardware · Rank 20 of 100
Dell Technologies
DELL · USA · Technology Hardware SC4 High
What does this ESCRC number mean?
An ESCRC of $125.9m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Dell Technologies under the stated assumptions: a 365-day horizon, 100,000 simulated years, and the 95% tail of the resulting loss distribution. Beyond that threshold the average loss — the Expected Shortfall — is $164.4m; in an ordinary year the expected loss is $37.1m.
Value-at-Risk: the portfolio loss not exceeded with the chosen confidence level. Read as the ESCRC risk capital — the loss the firm should be prepared to absorb in a bad year. Model-implied and intended for screening and ranking, not a calibrated capital figure.
Supply Chain Risk Capital Profile
Where the risk capital comes from. Every column is a production-engine output for this network — nothing is inferred.
By tier
Share of summed standalone VaR. Deeper tiers are attenuated by the engine's echelon buffer factors and capped by flow conservation.
By supplier geography
Major-event risk is correlated within a geography group (rho = 0.35), so concentration here compounds.
By supplier industry
Buckets are the calibrated-priors industry classes that set each supplier's minor-event rate.
| Supplier | Tier | Country | ExposureUSD m | Standalone VaRUSD m | Expected lossUSD m | Tail intensityrevenue-days | RoESCRCx |
|---|---|---|---|---|---|---|---|
| FoxconnServer/PC final assembly | T1 | Taiwan | 11200 | 83.9 | 9.7 | 2.2 | 36.8 |
| IntelServer/PC processors | T1 | USA | 7700 | 55.9 | 4.1 | 2.1 | 38.1 |
| WistronNotebook sub-assembly | T1 | Taiwan | 5600 | 42.0 | 4.8 | 2.2 | 36.8 |
| Samsung ElectronicsDRAM/NAND | T1 | South Korea | 4900 | 37.2 | 3.7 | 2.2 | 36.3 |
| NVIDIAAI accelerator modules | T1 | USA | 6300 | 34.9 | 3.3 | 1.6 | 49.8 |
| TSMCFoundry wafers | T2 | Taiwan | 3500 | 30.7 | 3.0 | 4.2 | 18.8 |
| SK HynixDRAM modules | T1 | South Korea | 3500 | 26.6 | 2.7 | 2.2 | 36.3 |
| Quanta ComputerODM notebook design and manufacturing (Dell XPS/Latitude) | T1 | Taiwan | 2100 | 14.2 | 1.6 | 2.0 | 40.8 |
| LG DisplayNotebook display panels | T1 | South Korea | 2100 | 11.6 | 1.4 | 1.6 | 49.8 |
| Delta ElectronicsPower supply modules | T2 | Taiwan | 1750 | 7.9 | 0.9 | 2.2 | 36.8 |
| AMDServer/PC processors (EPYC) | T2 | USA | 1750 | 7.6 | 0.5 | 2.1 | 38.1 |
| AmphenolConnectors/cable assemblies | T2 | USA | 1400 | 4.7 | 0.4 | 1.6 | 49.8 |
| KioxiaEnterprise SSDs / NAND flash | T3 | Japan | 1050 | 4.6 | 0.4 | 4.2 | 18.8 |
| BroadcomServer/networking Ethernet adapters | T2 | USA | 1400 | 3.7 | 0.4 | 1.3 | 63.0 |
| SeagateEnterprise hard disk drives | T3 | USA | 840 | 1.1 | 0.1 | 1.3 | 63.0 |
Scenario Analysis — coming in Phase 2
Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Dell Technologies are not part of this release. The ESCRC Calculator already supports what-if analysis on a network you build yourself.
Sector peers
Nearest-ranked companies in Technology Hardware. Dell Technologies is highlighted.
| Rank | Company | Ticker | Country | Sector | RevenueUSD bn | ESCRCUSD m | ESCRC / Revenue% | Risk Grade | Change |
|---|---|---|---|---|---|---|---|---|---|
| 2 | Apple | AAPL | USA | Technology Hardware | 383.0 | 856.3 | 0.224 | SC5 Very High | 0.0% |
| 5 | HP | HPQ | USA | Technology Hardware | 127.0 | 309.9 | 0.244 | SC5 Very High | 0.0% |
| 7 | Hon Hai Precision (Foxconn) | 2317.TW | Taiwan | Technology Hardware | 215.0 | 282.7 | 0.132 | SC4 High | 0.0% |
| 20 | Dell Technologies | DELL | USA | Technology Hardware | 88.0 | 125.9 | 0.143 | SC4 High | 0.0% |
| 34 | Sony Group | 6758.T | Japan | Technology Hardware | 85.0 | 91.4 | 0.108 | SC4 High | 0.0% |
| 36 | Lenovo | 0992.HK | China | Technology Hardware | 57.0 | 76.4 | 0.134 | SC4 High | 0.0% |
See this for your own supply chain
You are looking at Dell Technologies's supply-chain risk capital: $125.9m against $88.0bn of revenue, driven mostly by Foxconn and Taiwan. The calculator runs the same engine on a network you build yourself.
Company data as of 2026-06-30 · ESCRC calculated 2026-09-21 · dataset 2026.09-23 Beta
- Simulation
- 100,000 Monte Carlo paths · 95% confidence · 365-day horizon
- Seed
- 20260821 · regional correlation ρ = 0.35
- Input basis
- Curated network, calibrated-prior parameters
- Input fingerprint
- fcab4719ff2e
- Financials
- Curated from the company's most recent reported full financial year, as filed.
- Network
- Curated from company supplier disclosure; purchase volumes declared as a share of reported COGS.
- Parameters
- lambda1/lambda2 = calibrated ESCRC priors 2026.09-5 bucket defaults; r1/r2 = median of the shipped production preset networks within the same industry x geography cell when that cell has enough independent data, else the same industry-only bucket median, or (for industries with no preset supplier coverage) a directly-cited external recovery-event duration where one was found; ic = the same preset-network median (no external benchmark exists for this parameter for any industry). All three clamped into externally-cited recovery-time/BI-loss bounds per field.
Beta / preliminary dataset. Company inputs are analyst-curated from public annual reports and public supply-chain disclosure. ESCRC itself is computed by the production ESCRC engine — only the INPUTS on this page are preliminary.