SciRisk 100 · Industrial Machinery · Rank 86 of 100

Schneider Electric

SU.PA · France · Industrial Machinery SC1 Very Low

Economic Supply Chain Risk Capital

$15.0m

95% one-year Value-at-Risk · interval $14.9m to $15.1m (1.6% wide)

Risk Capital Intensity

0.038%

of $40.0bn revenue · rank #80 of 100

Global rank

#86

of 100 by ESCRC

Sector rank

#5

of 7 in Industrial Machinery

Expected Shortfall

$20.2m

Mean loss beyond ESCRC

Expected annual loss

$3.8m

Ordinary year

Revenue / COGS

40.0 / 24.0

USD bn · gross margin 41%

Suppliers modelled

10

5 correlated geographies

What does this ESCRC number mean?

An ESCRC of $15.0m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Schneider Electric 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 $20.2m; in an ordinary year the expected loss is $3.8m.

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

82%

Tier 2

14%

Tier 3

4%

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

By supplier geography

Germany

46%

Switzerland

19%

USA

15%

Luxembourg

11%

China

8%

Netherlands

1%

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

By supplier industry

electronics assembly

36%

semiconductor

27%

raw materials mining

20%

chemicals materials

11%

general mfg

7%

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

Largest supplier share

25%

Infineon

Top-3 concentration

58%

of summed standalone VaR

Tier-1 share of risk

82%

Direct suppliers

Diversification benefit

68.4%

vs. sum of standalone VaR

Supplier	Tier	Country	ExposureUSD m	Standalone VaRUSD m	Expected lossUSD m	Tail intensityrevenue-days	RoESCRCx
InfineonPower semiconductors	T1	Germany	1200	12.1	0.8	2.2	67.8
WielandCopper products	T1	Germany	1200	8.4	0.6	1.5	97.7
JabilEMS assembly	T1	USA	960	7.0	0.7	1.6	93.0
TE ConnectivityConnectors	T1	Switzerland	840	6.2	0.5	1.6	93.0
ArcelorMittalElectrical steel	T1	Luxembourg	840	5.1	0.4	1.3	113.0
FoxconnElectronics sub-assembly	T2	China	840	3.7	0.4	1.6	92.9
STMicroelectronicsMicrocontrollers	T2	Switzerland	840	2.9	0.3	1.3	117.6
AurubisRefined copper	T3	Germany	600	1.3	0.1	1.5	97.7
NexperiaDiscrete and small-signal semiconductors for industrial control products	T3	Netherlands	192	0.6	0.0	2.2	67.8
Tricolite Electrical IndustriesLicensed Premset switchgear manufacturing	T3	India	120	0.2	0.0	1.3	117.5

Scenario Analysis — coming in Phase 2

Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Schneider Electric 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 Industrial Machinery. Schneider Electric is highlighted.

Open in Compare

Rank	Company	Ticker	Country	Sector	RevenueUSD bn	ESCRCUSD m	ESCRC / Revenue%	Risk Grade	Change
76	Caterpillar	CAT	USA	Industrial Machinery	65.0	21.1	0.033	SC1 Very Low	▲ +1.4%
78	Deere & Company	DE	USA	Industrial Machinery	51.0	19.7	0.039	SC1 Very Low	▲ +1.8%
84	Komatsu	6301.T	Japan	Industrial Machinery	25.0	15.9	0.064	SC3 Moderate	0.0%
86	Schneider Electric	SU.PA	France	Industrial Machinery	40.0	15.0	0.038	SC1 Very Low	0.0%
88	Honeywell International	HON	USA	Industrial Machinery	38.0	14.2	0.037	SC1 Very Low	▲ +12.0%
92	ABB	ABBN.SW	Switzerland	Industrial Machinery	32.0	11.2	0.035	SC1 Very Low	▲ +0.5%

See this for your own supply chain

You are looking at Schneider Electric's supply-chain risk capital: $15.0m against $40.0bn of revenue, driven mostly by Infineon and Germany. The calculator runs the same engine on a network you build yourself.

Calculate your ESCRC Load Schneider Electric's network Compare with peers

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: 83c27ce0a1e4

Input provenance for Schneider Electric

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.