SciRisk 100 · Semiconductors · Rank 9 of 100
Samsung Electronics
005930.KS · South Korea · Semiconductors SC3 Moderate
What does this ESCRC number mean?
An ESCRC of $269.5m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Samsung Electronics 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 $358.8m; in an ordinary year the expected loss is $77.5m.
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 |
|---|---|---|---|---|---|---|---|
| Tokyo ElectronCoaters/developers | T1 | Japan | 7600 | 139.4 | 13.6 | 4.2 | 31.8 |
| Shin-Etsu ChemicalSilicon wafers 300mm | T1 | Japan | 7600 | 139.4 | 13.5 | 4.2 | 31.8 |
| ASMLEUV/DUV lithography scanners | T1 | Netherlands | 11400 | 108.7 | 7.1 | 2.2 | 61.2 |
| SUMCOSilicon wafers | T1 | Japan | 5700 | 104.5 | 10.1 | 4.2 | 31.8 |
| QualcommMobile chipsets | T1 | USA | 11400 | 103.9 | 7.2 | 2.1 | 64.1 |
| Applied MaterialsCVD/PVD deposition equipment | T1 | USA | 9500 | 86.5 | 6.1 | 2.1 | 64.1 |
| CorningDisplay glass | T1 | USA | 9500 | 66.1 | 6.3 | 1.6 | 83.9 |
| Lam ResearchEtch systems | T1 | USA | 6650 | 60.6 | 4.3 | 2.1 | 64.1 |
| JSR CorpPhotoresist | T2 | Japan | 3800 | 41.8 | 4.1 | 4.2 | 31.8 |
| MurataCapacitors/filters | T2 | Japan | 3800 | 21.5 | 2.5 | 2.2 | 61.9 |
| Air Products and ChemicalsOn-site bulk & specialty industrial gases (N2/O2/Ar/H2) for Pyeongtaek fab | T2 | USA | 2850 | 15.6 | 1.1 | 2.1 | 64.1 |
| EntegrisChemical filtration | T2 | USA | 2850 | 9.8 | 0.8 | 1.3 | 102.0 |
| ZeissEUV optics | T3 | Germany | 2280 | 6.5 | 0.4 | 2.2 | 61.2 |
| Qnity Electronics (DuPont spin-off)CMP polishing pads/slurries for advanced wafer fabrication | T3 | USA | 1520 | 4.2 | 0.3 | 2.1 | 64.1 |
Scenario Analysis — coming in Phase 2
Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Samsung Electronics 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 Semiconductors. Samsung Electronics is highlighted.
| Rank | Company | Ticker | Country | Sector | RevenueUSD bn | ESCRCUSD m | ESCRC / Revenue% | Risk Grade | Change |
|---|---|---|---|---|---|---|---|---|---|
| 3 | NVIDIA | NVDA | USA | Semiconductors | 130.0 | 577.3 | 0.444 | SC5 Very High | 0.0% |
| 9 | Samsung Electronics | 005930.KS | South Korea | Semiconductors | 300.0 | 269.5 | 0.090 | SC3 Moderate | 0.0% |
| 10 | Broadcom | AVGO | USA | Semiconductors | 51.6 | 242.0 | 0.469 | SC5 Very High | 0.0% |
| 13 | TSMC | TSM | Taiwan | Semiconductors | 90.1 | 197.0 | 0.219 | SC4 High | 0.0% |
| 16 | Qualcomm | QCOM | USA | Semiconductors | 39.0 | 158.6 | 0.407 | SC5 Very High | 0.0% |
| 47 | Intel | INTC | USA | Semiconductors | 54.0 | 57.6 | 0.107 | SC4 High | 0.0% |
See this for your own supply chain
You are looking at Samsung Electronics's supply-chain risk capital: $269.5m against $300.0bn of revenue, driven mostly by Tokyo Electron and Japan. 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
- d9ff4882d4b6
- 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.