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 · Pharmaceuticals & Biotechnology · Rank 25 of 100

Eli Lilly

LLY · USA · Pharmaceuticals & Biotechnology   SC5 Very High

Economic Supply Chain Risk Capital
$116.3m
95% one-year Value-at-Risk · interval $115.3m to $117.2m (1.7% wide)
Risk Capital Intensity
0.259%
of $45.0bn revenue · 6th highest in the index
Global rank
#25
of 100 by ESCRC
Sector rank
#6
of 10 in Pharmaceuticals & Biotechnology
Expected Shortfall
$164.0m
Mean loss beyond ESCRC
Expected annual loss
$31.3m
Ordinary year
Revenue / COGS
45.0 / 9.0
USD bn · gross margin 81%
Suppliers modelled
15
2 correlated geographies

What does this ESCRC number mean?

An ESCRC of $116.3m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Eli Lilly 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 $164.0m; in an ordinary year the expected loss is $31.3m.

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
83%
Tier 2
14%
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
72%
USA
14%
Germany
9%
United States
5%
Italy
1%

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

By supplier industry

pharma bio
94%
general mfg
4%
chemicals materials
2%

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

Largest supplier share
31%
Siegfried
Top-3 concentration
72%
of summed standalone VaR
Tier-1 share of risk
83%
Direct suppliers
Diversification benefit
44.2%
vs. sum of standalone VaR
SupplierTierCountry ExposureUSD m Standalone VaRUSD m Expected lossUSD m Tail intensityrevenue-days RoESCRCx
SiegfriedFill/finish CMO (Siegfried) T1 Switzerland 1080 63.9 10.0 4.3 68.3
Lonza GroupPeptide API CMO T1 Switzerland 900 53.3 8.3 4.3 68.3
BachemPeptide API T1 Switzerland 540 32.0 5.0 4.3 68.3
West Pharmaceutical Services, Inc.Stoppers/closures T1 USA 270 11.9 1.7 3.2 91.8
Thermo Fisher ScientificBioprocess raw materials T2 USA 360 8.7 1.3 3.0 99.9
Merck KGaACell culture media T2 Germany 225 8.0 1.3 4.3 68.3
Becton DickinsonPrefilled syringes/pens T1 USA 450 7.8 0.7 1.3 232.3
Resilience (National Resilience, Inc.)Fill/finish CDMO and KwikPen device manufacturing for diabetes/obesity injectables T2 United States 180 5.0 0.7 3.4 87.9
SchottGlass cartridges T1 Germany 270 4.9 0.4 1.3 223.4
CatalentFill/finish contract manufacturing for GLP-1 injectables (Zepbound/Mounjaro) T2 United States 135 3.5 0.5 3.2 93.2
GerresheimerGlass vials and autoinjector/pen components for injectable drug packaging T2 Germany 90 3.2 0.5 4.3 68.3
Evonik Industries AGExcipients T3 Germany 135 2.4 0.4 4.3 68.3
BSP PharmaceuticalsFill/finish contract manufacturing for Zepbound/Mounjaro (tirzepatide) T3 Italy 72 1.3 0.2 4.3 68.3
Stevanato GroupGlass vials, cartridges and syringes for injectable drug primary packaging T3 Italy 72 1.3 0.2 4.3 68.3
CambrexDrug substance/drug product CDMO manufacturing and analytical services for Lilly Catalyze360 biotech collaborators T2 United States 45 1.2 0.2 3.4 87.9

Scenario Analysis — coming in Phase 2

Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Eli Lilly 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 Pharmaceuticals & Biotechnology. Eli Lilly is highlighted.

Open in Compare
RankCompanyTickerCountrySectorRevenueUSD bnESCRCUSD mESCRC / Revenue%Risk GradeChange
15 Johnson & Johnson JNJ USA Pharmaceuticals & Biotechnology 88.0 172.7 0.196 SC4 High 0.0%
17 Roche ROG.SW Switzerland Pharmaceuticals & Biotechnology 66.0 137.1 0.208 SC4 High 0.0%
22 AstraZeneca AZN United Kingdom Pharmaceuticals & Biotechnology 54.0 118.9 0.220 SC5 Very High 0.0%
23 Merck & Co. MRK USA Pharmaceuticals & Biotechnology 64.0 118.6 0.185 SC4 High 0.0%
25 Eli Lilly LLY USA Pharmaceuticals & Biotechnology 45.0 116.3 0.259 SC5 Very High 0.0%
26 Novartis NVS Switzerland Pharmaceuticals & Biotechnology 45.0 116.3 0.258 SC5 Very High 0.0%

See this for your own supply chain

You are looking at Eli Lilly's supply-chain risk capital: $116.3m against $45.0bn of revenue, driven mostly by Siegfried 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
73415adc7e40
Input provenance for Eli Lilly
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.