SciRisk 100 · Healthcare Equipment · Rank 80 of 100

Abbott Laboratories

ABT · USA · Healthcare Equipment SC1 Very Low

Economic Supply Chain Risk Capital

$18.6m

95% one-year Value-at-Risk · interval $18.6m to $18.9m (1.3% wide)

Risk Capital Intensity

0.044%

of $42.0bn revenue · rank #68 of 100

Global rank

#80

of 100 by ESCRC

Sector rank

#3

of 8 in Healthcare Equipment

Expected Shortfall

$25.2m

Mean loss beyond ESCRC

Expected annual loss

$4.7m

Ordinary year

Revenue / COGS

42.0 / 19.0

USD bn · gross margin 55%

Suppliers modelled

10

3 correlated geographies

What does this ESCRC number mean?

An ESCRC of $18.6m is the estimated economic supply-chain risk capital requirement generated by the SciRisk ESCRC model for Abbott Laboratories 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 $25.2m; in an ordinary year the expected loss is $4.7m.

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

63%

Tier 2

35%

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

USA

56%

Germany

26%

Switzerland

13%

Singapore

6%

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

By supplier industry

electronics assembly

33%

general mfg

28%

pharma bio

19%

packaging

7%

chemicals materials

7%

semiconductor

3%

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

Largest supplier share

33%

Jabil

Top-3 concentration

63%

of summed standalone VaR

Tier-1 share of risk

63%

Direct suppliers

Diversification benefit

52.4%

vs. sum of standalone VaR

Supplier	Tier	Country	ExposureUSD m	Standalone VaRUSD m	Expected lossUSD m	Tail intensityrevenue-days	RoESCRCx
JabilMedical device EMS	T1	USA	1330	13.0	1.2	1.6	124.7
SartoriusFiltration/bioprocess consumables	T2	Germany	475	7.5	1.2	4.3	46.3
West Pharmaceutical Services, Inc.Elastomer components	T1	USA	570	4.4	0.4	1.3	157.7
Corning Life SciencesDiagnostic glassware	T1	USA	570	4.4	0.4	1.3	157.7
AmcorMedical plastics	T1	Switzerland	570	2.9	0.4	0.8	238.8
Merck KGaAAssay chemicals	T2	Germany	570	2.7	0.2	1.3	151.7
FlexDiagnostics contract manufacturing	T2	Singapore	475	2.2	0.2	1.3	157.7
EM MicroelectronicBluetooth Low Energy system-on-chip (EM9304) for FreeStyle Libre CGM sensors	T2	Switzerland	152	1.2	0.1	2.2	91.0
GlencorePrecious metal inputs	T3	Switzerland	190	0.9	0.1	2.6	76.0
Thermo Fisher ScientificDiagnostic reagents/raw materials	T1	USA	1140	0.0	0.5	—	—

Scenario Analysis — coming in Phase 2

Recovery-time, supplier-diversification, inventory and geographic-diversification scenarios for Abbott Laboratories 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 Healthcare Equipment. Abbott Laboratories is highlighted.

Open in Compare

Rank	Company	Ticker	Country	Sector	RevenueUSD bn	ESCRCUSD m	ESCRC / Revenue%	Risk Grade	Change
73	Danaher	DHR	USA	Healthcare Equipment	24.0	24.3	0.101	SC4 High	0.0%
80	Abbott Laboratories	ABT	USA	Healthcare Equipment	42.0	18.6	0.044	SC1 Very Low	▲ +0.5%
89	Medtronic	MDT	Ireland	Healthcare Equipment	32.0	14.1	0.044	SC1 Very Low	▲ +0.3%
91	Becton Dickinson	BDX	USA	Healthcare Equipment	20.0	11.4	0.057	SC2 Low	▼ -1.5%
94	Koninklijke Philips	PHG	Netherlands	Healthcare Equipment	20.0	8.9	0.045	SC1 Very Low	▲ +0.5%
96	Siemens Healthineers	SHL.DE	Germany	Healthcare Equipment	24.0	8.6	0.036	SC1 Very Low	0.0%

See this for your own supply chain

You are looking at Abbott Laboratories's supply-chain risk capital: $18.6m against $42.0bn of revenue, driven mostly by Jabil and USA. The calculator runs the same engine on a network you build yourself.

Calculate your ESCRC Load Abbott Laboratories'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: d92494d1a9b4

Input provenance for Abbott Laboratories

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 (packaging, 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.