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 · Chemicals · Rank 99 of 100

Covestro

1COV.DE · Germany · Chemicals   SC1 Very Low

Economic Supply Chain Risk Capital
$6.4m
95% one-year Value-at-Risk · interval $6.4m to $6.4m (0.0% wide)
Risk Capital Intensity
0.043%
of $15.0bn revenue · rank #73 of 100
Global rank
#99
of 100 by ESCRC
Sector rank
#6
of 7 in Chemicals
Expected Shortfall
$9.0m
Mean loss beyond ESCRC
Expected annual loss
$1.5m
Ordinary year
Revenue / COGS
15.0 / 13.0
USD bn · gross margin 13%
Suppliers modelled
10
2 correlated geographies

What does this ESCRC number mean?

An ESCRC of $6.4m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Covestro 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 $9.0m; in an ordinary year the expected loss is $1.5m.

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

Tier 1
83%
Tier 2
14%
Tier 3
3%

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

By supplier geography

United Kingdom
43%
Germany
34%
France
13%
China
6%
Switzerland
2%
Finland
2%

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

By supplier industry

chemicals materials
98%
metals materials inputs
2%

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

Largest supplier share
27%
BASF
Top-3 concentration
62%
of summed standalone VaR
Tier-1 share of risk
83%
Direct suppliers
Diversification benefit
68.2%
vs. sum of standalone VaR
SupplierTierCountry ExposureUSD m Standalone VaRUSD m Expected lossUSD m Tail intensityrevenue-days RoESCRCx
BASFChemical intermediates T1 Germany 1300 5.4 0.4 1.3 35.8
ShellBenzene/petrochemical feedstock T1 United Kingdom 1040 4.3 0.3 1.3 35.8
LindeIndustrial gases T1 United Kingdom 650 2.7 0.2 1.3 35.8
TotalEnergiesPetrochemical feedstock T1 France 650 2.7 0.2 1.3 35.8
INEOSPhenol/acetone feedstock T1 United Kingdom 390 1.6 0.1 1.3 35.8
Evonik Industries AGSpecialty intermediates T2 Germany 520 1.3 0.1 1.3 35.8
SinopecPetrochemical intermediates T2 China 455 1.1 0.1 1.3 35.8
GlencoreMetal catalysts T3 Switzerland 195 0.5 0.0 2.6 17.9
NesteRenewable hydrocarbon feedstock T2 Finland 156 0.4 0.0 1.3 35.8
DB Cargo BTTRail/intermodal logistics for bulk MDI/TDI/polyol chemical transport T3 Germany 78 0.1 0.0 1.3 35.8

Scenario Analysis — coming in Phase 2

Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Covestro 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 Chemicals. Covestro is highlighted.

Open in Compare
RankCompanyTickerCountrySectorRevenueUSD bnESCRCUSD mESCRC / Revenue%Risk GradeChange
77 LyondellBasell LYB Netherlands Chemicals 41.0 19.9 0.049 SC2 Low 0.0%
79 Dow DOW USA Chemicals 43.0 18.7 0.043 SC1 Very Low 0.0%
93 Linde LIN United Kingdom Chemicals 33.0 9.3 0.028 SC1 Very Low ▼ -2.3%
97 Air Liquide AI.PA France Chemicals 29.0 8.3 0.029 SC1 Very Low ▼ -5.2%
99 Covestro 1COV.DE Germany Chemicals 15.0 6.4 0.043 SC1 Very Low 0.0%
100 Shin-Etsu Chemical 4063.T Japan Chemicals 16.0 6.1 0.038 SC1 Very Low 0.0%

See this for your own supply chain

You are looking at Covestro's supply-chain risk capital: $6.4m against $15.0bn of revenue, driven mostly by BASF and United Kingdom. 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
45cebaa92b6b
Input provenance for Covestro
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.
Fallback
Some suppliers resolve to an industry bucket with no coverage in the shipped preset networks (metals materials inputs). Their recovery times use the median across all preset suppliers rather than a bucket-specific or externally-cited one.
Fallback
Some suppliers resolve to an industry bucket with no preset coverage for revenue-at-risk fraction (metals materials inputs). This parameter has no external benchmark for any industry in this dataset, so it uses the median across all preset suppliers.
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.