Ardmore Shipping Corporation
55af456d-4761-49bc-a9a3-4b1964973e43
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T09:48:37.653978+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

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=~100% transactional; spot voyage charters and time-charters with no recurring subscription revenue. Time-charters provide partial revenue visibility (6-24 months).
SG-049
Subscription
VALUE High

Hybrid Combination

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

55 Archetypes Evaluated High: 2 Medium: 21 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~$200M; Net LTV ~50% on vessel fleet; floating-rate exposure means 20% rate rise adds ~$4M annual interest cost.
Inferred
Agent_Inference
interest_rate_sensitivity
~70% floating-rate debt; 20% rate increase (e.g., SOFR +100bps) raises annual interest expense by ~$3-5M, compressing net income ~10-15%.
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Strait of Hormuz (Middle East crude/product flows) and Suez Canal (Europe-Asia product tanker routing) are top two critical chokepoints.
Inferred
Agent_Inference
international_expansion_readiness
Revenue denominated in USD; minimal direct FX exposure. Indirect risk via counterparties in EUR, INR, SGD zones facing devaluation pressure.
Inferred
Agent_Inference
geographic_footprint
Operates globally; primary revenue markets are Europe, Asia-Pacific, and Middle East. USD-denominated contracts largely neutralize sovereign currency devaluation risk.
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Crude Oil, Natural Gas, Coal, Refined Petroleum Products, Uranium, Steel (equipment); geopolitical: OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30% of input costs; bunker fuel suppliers are diversified, though top 2-3 fuel suppliers may represent ~40% of fuel procurement.
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy maritime shipping; minimal cloud infrastructure dependency. Cloud termination would disrupt back-office/reporting but not core vessel operations.
Inferred
Agent_Inference
business_model_type_secondary
Vessel chartering (spot and time-charter); operational continuity depends on physical assets, not cloud platforms.
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; uses standard maritime ERP and voyage management systems. Switching costs low to moderate; no proprietary platform lock-in.
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue from physical tanker chartering services. No investment contract structure; clearly a traditional shipping operating company.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; handles commercial shipping data, not consumer personal data. EU crew data requires GDPR compliance but risk is minimal.
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in fragmented global product tanker market with no dominant market share. IMO regulations constrain collusion structurally.
Inferred
Agent_Inference
regulatory_exposure_profile
High burden; regimes: EPA, FERC, DOE, CFTC, OSHA, SEC; Accelerating emissions mandates and methane rules threaten capex economics.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~100% transactional; spot voyage charters and time-charters with no recurring subscription revenue. Time-charters provide partial revenue visibility (6-24 months).
Inferred
Agent_Inference
monetization_vector
Revenue per vessel per day (TCE rate); monetizes owned and commercially managed tanker fleet capacity in product and chemical tanker markets.
Inferred
Agent_Inference
pricing_architecture
Spot market rate pricing via Baltic Exchange benchmarks; stress test shows 30% TCE rate decline reduces revenue ~$30-40M and EBITDA to near breakeven.
Inferred
Agent_Inference
pricing_power_rating
Low independent pricing power; rates set by global supply-demand balance. Ardmore is a price-taker in spot markets with limited ability to command premium.
Inferred
Agent_Inference
target_gross_margin_bracket
Vessel operating margin (TCE minus opex) typically 40-60% in strong markets; gross margin highly cyclical, compressing to 10-20% in soft freight environments.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; services are fully contracted per voyage or time-charter. Customer 'churn' manifests as spot market rate volatility rather than subscription loss.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-sublinear; adding vessels adds crew but shore-based staff scales minimally. Operational leverage exists in fleet expansion.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (vessel acquisition ~$30-45M/unit) but incremental shore-side overhead is low; EBITDA margins expand with scale.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Ardmore is not a franchise business. Regulatory compliance risk is via IMO, MARPOL, and flag-state requirements rather than franchise drift.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains low (broker-intermediated spot market); unit economics hinge on fleet utilization and TCE spread over daily opex (~$7,000-9,000/day).
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; shipping is a commodity service. Scale provides marginal commercial and operational advantages but not compounding network dynamics.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low for core operations; vessel management, navigation, and chartering resist full automation. AI may optimize routing/fuel, saving 3-5% costs.
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession resilience; product tanker demand tied to refined fuel consumption, which is relatively inelastic but weakens in deep global recessions.
Inferred
Agent_Inference
customer_segment_primary
Major oil companies, trading houses, and refiners (e.g., Shell, Vitol, Trafigura) chartering product and chemical tankers for refined product transport.
Inferred
Agent_Inference
customer_segment_secondary
Chemical producers and industrial shippers requiring specialized stainless-steel or coated tankers for chemical cargo transport on spot or COA basis.
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", "19-0000 Life, Physical, and Social Science Occupations", "23-0000 Legal 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", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.33 (HIL — ~33% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capex focused on fleet renewal (eco-design vessels, scrubber retrofits, methanol-ready ships); capital reallocation toward compliant future-state fleet is evident.
Inferred
Agent_Inference
sec_cik
0001577437
High
SEC-EDGAR
ticker
ASC
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_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-20no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.