Ardagh Metal Packaging S.A.
c3b85f798c9d4e94a23a77a6a1f627ff
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-22T18:31:08.559634+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-036 Product to Capability WHAT High
Direct: revenue_model_type=~80%+ revenue under multi-year volume supply contracts (3-5 year) with beverage and food companies; highly recurring in nature; transactional spot sales minimal. Corroborated: business_model_type_primary=Physical manufacturing; zero cloud-infrastructure dependency for core operations; ERP/IT disruption would cause administrative delays, not production stoppage
SG-026
Make-to-Order
HOW High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Make-to-Order (SG-026) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 18 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~$4.8B; Net Debt/EBITDA ~5.5x as of 2023; a 20bp rate rise adds ~$10M annual interest cost given ~50% floating-rate exposure
Inferred
Agent_Inference
interest_rate_sensitivity
~50% of debt is floating rate; 20bp increase raises annual interest expense by approximately $9-11M, pressuring thin FCF margins
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Aluminum smelting concentrated in politically volatile Guinea (bauxite) and Russian/Chinese alumina refining; key chokepoints are Guinea mining and Strait of Malacca shipping
Inferred
Agent_Inference
international_expansion_readiness
Operates in EUR, BRL, and GBP markets; EUR/USD volatility manageable via natural hedges; BRL devaluation risk significant given Brazilian beverage can growth exposure
Inferred
Agent_Inference
geographic_footprint
Revenue split roughly Americas 55%, Europe 45%; BRL, GBP, EUR are primary foreign currency exposures; EUR near-natural hedge via European cost base
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Aluminum represents ~60-70% of COGS; sourced from multiple suppliers but commodity price pass-through clauses limit but don't eliminate supplier concentration risk
Inferred
Agent_Inference
business_model_type_primary
Physical manufacturing; zero cloud-infrastructure dependency for core operations; ERP/IT disruption would cause administrative delays, not production stoppage
Inferred
Agent_Inference
business_model_type_secondary
Industrial manufacturer with long-term supply agreements; cloud termination would affect back-office systems only, not core can-forming production lines
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; operations are hardware/manufacturing-centric with standard ERP integrations; no mission-critical third-party API dependencies
Inferred
Agent_Inference
howey_test_risk_index
Revenue model is product sales (metal packaging); fails Howey Test on 'common enterprise profits from others' efforts' — no securities law risk; score: very low
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; B2B manufacturer with limited consumer PII; primary data risk is proprietary customer contract and volume data, not personal data
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; global beverage can market is oligopolistic (Ball, Crown, Ardagh control ~70%+); pricing coordination scrutiny is ongoing regulatory risk in EU and US
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~80%+ revenue under multi-year volume supply contracts (3-5 year) with beverage and food companies; highly recurring in nature; transactional spot sales minimal
Inferred
Agent_Inference
monetization_vector
B2B long-term supply agreements with CPI/commodity pass-through clauses; volume-based pricing with major beverage brands (AB InBev, Coca-Cola, etc.)
Inferred
Agent_Inference
pricing_architecture
Cost-plus with aluminum pass-through; limited pricing power beyond input cost recovery; CPI escalators provide partial protection but margin compression risk in demand downturns
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; commodity pass-through exists but conversion margin pricing power is constrained by duopoly competition from Ball and Crown Holdings
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~18-22%; EBITDA margin ~14-16%; structurally compressed by aluminum cost pass-through accounting and high fixed manufacturing overhead
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; B2B contracts with volume commitments; churn risk is contract non-renewal; top-5 customers likely represent 40-50% of revenue — key retention risk
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely capital-linear (new can lines), not headcount-linear; doubling revenue requires new plants/lines but not proportional headcount doubling — sublinear labor scaling
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth requires significant capex for new lines (~$150-200M per plant); once operational, incremental volume has high operating leverage; capital-intensive, not labor-intensive at margin
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Ardagh Metal Packaging is not a franchise business model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains near-zero (RFP/contract-driven); unit economics improve via fixed-cost absorption but aluminum input costs scale linearly, capping margin expansion
Inferred
Agent_Inference
network_effect_present
No network effects; metal packaging is a commodity manufacturing business; value is derived from scale, geography, and contract relationships, not user density
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is very low; core operations are physical can-forming; AI may optimize scheduling and quality control but cannot displace primary manufacturing assets
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 resilience; beverage cans are staple consumer goods but volumes tied to discretionary beverage consumption; 2008-09 showed modest volume declines; not fully recession-proof
Inferred
Agent_Inference
customer_segment_primary
Large multinational beverage companies (AB InBev, Coca-Cola, Monster, Red Bull) representing majority of volumes under long-term supply agreements
Inferred
Agent_Inference
customer_segment_secondary
Mid-tier craft beer, energy drink, and hard seltzer brands; growing segment but smaller individual contract sizes and higher churn risk than tier-1 customers
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "23-0000 Legal Occupations", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capex ~$400-500M annually; primarily maintenance and capacity expansion in Americas growth markets; limited legacy-to-future reallocation — capex is sustaining, not transformational
Inferred
Agent_Inference
sec_cik
0001845097
High
SEC-EDGAR
ticker
AMBP
High
SEC-EDGAR

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-22no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.