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 · Consumer Goods · Rank 95 of 100

Colgate-Palmolive

CL · USA · Consumer Goods   SC1 Very Low

Economic Supply Chain Risk Capital
$8.6m
95% one-year Value-at-Risk · interval $8.5m to $8.8m (3.3% wide)
Risk Capital Intensity
0.043%
of $20.0bn revenue · rank #72 of 100
Global rank
#95
of 100 by ESCRC
Sector rank
#8
of 8 in Consumer Goods
Expected Shortfall
$14.8m
Mean loss beyond ESCRC
Expected annual loss
$2.3m
Ordinary year
Revenue / COGS
20.0 / 8.0
USD bn · gross margin 60%
Suppliers modelled
10
5 correlated geographies

What does this ESCRC number mean?

An ESCRC of $8.6m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Colgate-Palmolive 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 $14.8m; in an ordinary year the expected loss is $2.3m.

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
80%
Tier 2
19%
Tier 3
2%

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

By supplier geography

Switzerland
32%
Germany
22%
Singapore
18%
USA
17%
Indonesia
9%
China
2%

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

By supplier industry

packaging
36%
chemicals materials
30%
general mfg
25%
food agri
9%

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

Largest supplier share
20%
BASF
Top-3 concentration
54%
of summed standalone VaR
Tier-1 share of risk
80%
Direct suppliers
Diversification benefit
56.2%
vs. sum of standalone VaR
SupplierTierCountry ExposureUSD m Standalone VaRUSD m Expected lossUSD m Tail intensityrevenue-days RoESCRCx
BASFSurfactant chemicals T1 Germany 440 4.0 0.3 1.3 165.5
Wilmar InternationalPalm-derived oleochemicals T1 Singapore 400 3.5 0.3 1.3 172.1
AmcorFlexible packaging T1 Switzerland 560 3.2 0.5 0.8 260.6
AmcorPlastic components T1 Switzerland 360 2.1 0.3 0.8 260.6
International PaperCorrugated packaging T1 USA 320 1.8 0.3 0.8 260.5
Golden Agri-ResourcesCrude palm oil T2 Indonesia 240 1.8 0.3 1.9 117.6
DowPolymer resin T2 USA 280 1.5 0.1 1.3 165.5
GivaudanFragrance compounds T1 Switzerland 120 1.0 0.1 1.3 172.1
Evonik Industries AGPrecipitated silica abrasive/thickener (ZEODENT) for toothpaste T2 Germany 64 0.3 0.0 1.3 172.1
SinopecPetrochemical feedstock T3 China 120 0.3 0.0 1.3 165.4

Scenario Analysis — coming in Phase 2

Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Colgate-Palmolive 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 Consumer Goods. Colgate-Palmolive is highlighted.

Open in Compare
RankCompanyTickerCountrySectorRevenueUSD bnESCRCUSD mESCRC / Revenue%Risk GradeChange
61 Procter & Gamble PG USA Consumer Goods 84.0 37.3 0.044 SC1 Very Low ▼ -9.7%
65 Inditex ITX.MC Spain Consumer Goods 39.0 30.8 0.079 SC3 Moderate ▲ +29.4%
72 adidas ADS.DE Germany Consumer Goods 24.0 26.2 0.109 SC4 High ▲ +6.3%
83 L'Oréal OR.PA France Consumer Goods 45.0 16.9 0.038 SC1 Very Low ▼ -5.8%
85 LVMH MC.PA France Consumer Goods 92.0 15.2 0.017 SC1 Very Low ▼ -6.8%
95 Colgate-Palmolive CL USA Consumer Goods 20.0 8.6 0.043 SC1 Very Low ▼ -4.9%

See this for your own supply chain

You are looking at Colgate-Palmolive's supply-chain risk capital: $8.6m against $20.0bn of revenue, driven mostly by BASF and Switzerland. 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
d9290ecd67b9
Input provenance for Colgate-Palmolive
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 (packaging, food agri). 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.