SciRisk Calculate your ESCRC
As of 2026-06-30| Model v5.4.2| Priors 2026.09-5| Calculated 2026-09-21| 100,000 paths · 95% · 365d| BETA Methodology

SciRisk 100 · Automotive · Rank 29 of 100

Ford Motor

F · USA · Automotive   SC2 Low

Economic Supply Chain Risk Capital
$101.5m
95% one-year Value-at-Risk · interval $100.5m to $101.5m (1.0% wide)
Risk Capital Intensity
0.058%
of $176.0bn revenue · rank #61 of 100
Global rank
#29
of 100 by ESCRC
Sector rank
#9
of 10 in Automotive
Expected Shortfall
$133.0m
Mean loss beyond ESCRC
Expected annual loss
$26.3m
Ordinary year
Revenue / COGS
176.0 / 155.0
USD bn · gross margin 12%
Suppliers modelled
13
4 correlated geographies

What does this ESCRC number mean?

An ESCRC of $101.5m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Ford Motor 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 $133.0m; in an ordinary year the expected loss is $26.3m.

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

Tier 1
92%
Tier 2
7%
Tier 3
1%

Share of summed standalone VaR. Deeper tiers are attenuated by the engine's echelon buffer factors and capped by flow conservation.

By supplier geography

USA
40%
Germany
19%
Canada
15%
Ireland
14%
Japan
8%
China
2%

Major-event risk is correlated within a geography group (rho = 0.35), so concentration here compounds.

By supplier industry

automotive
90%
electronics assembly
3%
chemicals materials
3%
general mfg
3%
raw materials mining
1%

Buckets are the calibrated-priors industry classes that set each supplier's minor-event rate.

Largest supplier share
20%
BorgWarner
Top-3 concentration
54%
of summed standalone VaR
Tier-1 share of risk
92%
Direct suppliers
Diversification benefit
69.5%
vs. sum of standalone VaR
SupplierTierCountry ExposureUSD m Standalone VaRUSD m Expected lossUSD m Tail intensityrevenue-days RoESCRCx
BorgWarnerDrivetrain parts T1 USA 4650 67.7 5.3 4.7 9.3
BoschFuel injection/electronics T1 Germany 10850 62.3 4.4 1.8 23.7
Magna InternationalBody stampings T1 Canada 8525 49.0 3.8 1.8 23.6
VersigentWiring harnesses T1 Ireland 6200 35.6 2.5 1.8 23.7
LearSeating/electrical T1 USA 6200 35.6 2.7 1.8 23.7
DensoElectronics, HVAC and fuel-injection systems T1 Japan 2325 23.7 2.5 3.3 13.3
GoodyearTyres T1 USA 2790 16.0 1.2 1.8 23.7
Aptiv PLCConnectors, interconnects and cable-management/electrical-architecture components (distinct from Versigent) T1 Ireland 2325 11.6 1.0 1.6 27.1
NucorSheet steel T2 USA 4650 11.5 0.9 1.3 33.0
CATLLFP EV battery cells/packs (Mustang Mach-E NA & Europe; licensed tech for Marshall MI plant) T2 China 2325 8.0 0.8 1.8 23.6
AutolivAirbags and occupant safety restraint systems T1 Sweden 1550 6.1 0.6 1.3 34.3
NTN CorporationCV joints, driveshaft assemblies and bearings T2 Japan 930 3.4 0.4 2.0 22.2
AlbemarleLithium hydroxide T3 USA 1550 2.2 0.2 1.5 28.6

Scenario Analysis — coming in Phase 2

Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Ford Motor 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 Automotive. Ford Motor is highlighted.

Open in Compare
RankCompanyTickerCountrySectorRevenueUSD bnESCRCUSD mESCRC / Revenue%Risk GradeChange
18 Mercedes-Benz Group MBG.DE Germany Automotive 160.0 136.9 0.086 SC3 Moderate ▲ +36.3%
21 BMW Group BMW.DE Germany Automotive 155.0 123.8 0.080 SC3 Moderate ▲ +28.9%
24 General Motors GM USA Automotive 187.0 118.2 0.063 SC3 Moderate ▲ +19.0%
27 Stellantis STLA Netherlands Automotive 200.0 110.0 0.055 SC2 Low 0.0%
29 Ford Motor F USA Automotive 176.0 101.5 0.058 SC2 Low ▲ +18.1%
32 Tesla TSLA USA Automotive 97.0 93.2 0.096 SC3 Moderate ▲ +0.2%

See this for your own supply chain

You are looking at Ford Motor's supply-chain risk capital: $101.5m against $176.0bn of revenue, driven mostly by BorgWarner and USA. The calculator runs the same engine on a network you build yourself.

ESCRC calculated using SciRisk ESCRC Model v5.4.2 · calibrated priors 2026.09-5
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
124abf4051ed
Input provenance for Ford Motor
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.
SciRisk ESCRC is an analytical estimate generated using the SciRisk Economic Supply Chain Risk Capital methodology. It is not a credit rating, investment recommendation or statement of financial condition. Figures are model-implied and intended for screening and comparison, not as calibrated capital requirements.

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.