SciRisk 100 · Technology Hardware · Rank 41 of 100
Xiaomi
1810.HK · China · Technology Hardware SC4 High
What does this ESCRC number mean?
An ESCRC of $70.0m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Xiaomi 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 $91.4m; in an ordinary year the expected loss is $20.2m.
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 |
|---|---|---|---|---|---|---|---|
| MediaTekMobile chipsets | T1 | Taiwan | 2460 | 35.5 | 3.5 | 4.2 | 18.0 |
| QualcommMobile chipsets | T1 | USA | 4920 | 35.3 | 2.5 | 2.1 | 36.3 |
| FoxconnSmartphone final assembly | T1 | China | 5740 | 31.5 | 3.8 | 1.6 | 47.5 |
| TSMCFoundry wafers | T2 | Taiwan | 2870 | 24.9 | 2.5 | 4.2 | 18.0 |
| BYD ElectronicHandset assembly | T1 | China | 3280 | 18.0 | 2.2 | 1.6 | 47.5 |
| BOE TechnologyOLED panels | T1 | China | 2870 | 15.7 | 1.9 | 1.6 | 47.5 |
| Samsung ElectronicsDRAM/NAND | T1 | South Korea | 2050 | 15.4 | 1.5 | 2.2 | 34.7 |
| Sunny OpticalCamera modules | T1 | China | 1435 | 7.9 | 1.0 | 1.6 | 47.5 |
| MurataCapacitors/filters | T2 | Japan | 820 | 3.6 | 0.4 | 2.2 | 35.1 |
| Largan PrecisionSmartphone camera lens modules | T2 | Taiwan | 615 | 2.7 | 0.3 | 2.2 | 35.1 |
| GoertekAcoustic components and TWS earbuds manufacturing | T2 | China | 615 | 1.6 | 0.2 | 1.3 | 60.1 |
| Luxshare PrecisionCables, connectors and device assembly services | T2 | China | 410 | 1.3 | 0.2 | 1.6 | 47.5 |
| AAC TechnologiesAcoustic components (speakers/microphones) | T2 | China | 410 | 1.1 | 0.1 | 1.3 | 60.1 |
| CorningGorilla Glass | T3 | USA | 615 | 0.8 | 0.1 | 1.3 | 57.9 |
| Zhen Ding TechnologyFlexible printed circuit boards (FPCB) for smartphones | T3 | Taiwan | 410 | 0.8 | 0.1 | 2.0 | 39.0 |
Scenario Analysis — coming in Phase 2
Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Xiaomi 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. Xiaomi is highlighted.
| Rank | Company | Ticker | Country | Sector | RevenueUSD bn | ESCRCUSD m | ESCRC / Revenue% | Risk Grade | Change |
|---|---|---|---|---|---|---|---|---|---|
| 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% |
| 41 | Xiaomi | 1810.HK | China | Technology Hardware | 51.0 | 70.0 | 0.137 | SC4 High | 0.0% |
| 48 | Cisco Systems | CSCO | USA | Technology Hardware | 54.0 | 55.7 | 0.103 | SC4 High | 0.0% |
| 51 | LG Electronics | 066570.KS | South Korea | Technology Hardware | 65.0 | 50.3 | 0.077 | SC3 Moderate | 0.0% |
| 56 | Panasonic Holdings | 6752.T | Japan | Technology Hardware | 55.0 | 44.4 | 0.081 | SC3 Moderate | 0.0% |
See this for your own supply chain
You are looking at Xiaomi's supply-chain risk capital: $70.0m against $51.0bn of revenue, driven mostly by MediaTek and China. 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
- 96675bcdaeb6
- 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.