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 · Energy & Utilities · Rank 46 of 100

TotalEnergies

TTE · France · Energy & Utilities   SC1 Very Low

Economic Supply Chain Risk Capital
$58.5m
95% one-year Value-at-Risk · interval $57.7m to $61.5m (6.5% wide)
Risk Capital Intensity
0.030%
of $195.0bn revenue · rank #94 of 100
Global rank
#46
of 100 by ESCRC
Sector rank
#4
of 7 in Energy & Utilities
Expected Shortfall
$95.1m
Mean loss beyond ESCRC
Expected annual loss
$9.5m
Ordinary year
Revenue / COGS
195.0 / 155.0
USD bn · gross margin 21%
Suppliers modelled
10
3 correlated geographies

What does this ESCRC number mean?

An ESCRC of $58.5m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for TotalEnergies 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 $95.1m; in an ordinary year the expected loss is $9.5m.

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 2
51%
Tier 1
42%
Tier 3
6%

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

By supplier geography

France
61%
Luxembourg
24%
USA
9%
United Kingdom
6%
Italy
0%
Denmark
0%

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

By supplier industry

chemicals materials
85%
energy equipment
9%
raw materials mining
6%

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

Largest supplier share
34%
Air Liquide
Top-3 concentration
85%
of summed standalone VaR
Tier-1 share of risk
42%
Direct suppliers
Diversification benefit
-86.5%
vs. sum of standalone VaR
SupplierTierCountry ExposureUSD m Standalone VaRUSD m Expected lossUSD m Tail intensityrevenue-days RoESCRCx
Air LiquideIndustrial gases T1 France 2325 10.6 0.8 1.3 57.9
VallourecOCTG tubular steel T2 France 3100 8.5 0.6 1.3 57.9
ArcelorMittalLine-pipe steel T2 Luxembourg 2790 7.6 0.6 1.3 57.9
Baker HughesTurbomachinery equipment T1 USA 3875 2.7 1.4 0.2 381.7
Rio TintoMineral inputs T3 United Kingdom 1240 2.0 0.1 1.5 50.0
SLBOilfield services T1 USA 5425 0.0 2.0
SaipemOffshore EPC services T1 Italy 4650 0.0 1.4
TechnipFMCSubsea systems T1 United Kingdom 4340 0.0 1.4
VinciConstruction/EPC services T1 France 3100 0.0 0.9
VestasOffshore/floating wind turbines (V164-10.0 MW) for the Eolmed project T1 Denmark 930 0.0 0.3

Scenario Analysis — coming in Phase 2

Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for TotalEnergies 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 Energy & Utilities. TotalEnergies is highlighted.

Open in Compare
RankCompanyTickerCountrySectorRevenueUSD bnESCRCUSD mESCRC / Revenue%Risk GradeChange
31 ExxonMobil XOM USA Energy & Utilities 340.0 93.7 0.028 SC1 Very Low ▲ +25.7%
33 Shell SHEL United Kingdom Energy & Utilities 284.0 92.4 0.033 SC1 Very Low ▲ +61.5%
45 BP BP United Kingdom Energy & Utilities 190.0 61.8 0.033 SC1 Very Low ▲ +66.6%
46 TotalEnergies TTE France Energy & Utilities 195.0 58.5 0.030 SC1 Very Low ▲ +52.0%
49 Chevron CVX USA Energy & Utilities 193.0 55.1 0.029 SC1 Very Low ▲ +27.7%
68 Enel ENEL.MI Italy Energy & Utilities 85.0 27.9 0.033 SC1 Very Low 0.0%

See this for your own supply chain

You are looking at TotalEnergies's supply-chain risk capital: $58.5m against $195.0bn of revenue, driven mostly by Air Liquide and France. 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
310e10a88215
Input provenance for TotalEnergies
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 preset coverage for revenue-at-risk fraction (energy equipment). 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.