debt_leverage_profile
0.29x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
A 200bps rate increase raises annual interest expense by ~$20-30M given ~$1.2B floating-rate debt, compressing net income materially; fixed-rate tranches partially hedge exposure.
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
Strait of Hormuz (Middle East crude/product flows) and Strait of Malacca (Asia-Pacific petroleum trade) are the two critical chokepoints for INSW's tanker routes.
Inferred
Agent_Inference
international_expansion_readiness
Revenue denominated in USD via standard charter contracts; minimal direct FX devaluation risk as global crude/product freight is USD-priced; sovereign risk exists in sanctioned-country trade avoidance.
Inferred
Agent_Inference
geographic_footprint
Operations span Middle East Gulf, Southeast Asia, and Atlantic Basin; USD-denominated freight rates insulate against local currency devaluation; key exposure is counterparty sovereign credit risk.
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
No single vendor exceeds 30% of operational costs; ship management, fuel bunkering, and port services are highly competitive and substitutable markets globally.
Inferred
Agent_Inference
business_model_type_primary
Physical asset-intensive tanker operator; zero cloud infrastructure dependency—termination of any cloud account would disrupt back-office IT but not core vessel operations or revenue generation.
Inferred
Agent_Inference
business_model_type_secondary
Spot voyage charter and time charter contracts drive revenue; cloud disruption would affect administrative systems only, with rapid fallback to manual/alternative IT systems feasible within days.
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; INSW is a maritime asset operator using standard industry platforms (Veson IMOS, broker networks); no proprietary API dependencies critical to revenue.
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; tanker freight revenue is clearly a service/asset-rental model, not an investment contract; equity shares are standard securities already regulated under existing frameworks.
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; INSW handles limited personal data (crew, counterparties); no consumer data business; primary compliance burden is crew data under maritime labor regulations.
Inferred
Agent_Inference
antitrust_exposure_flag
Low-moderate; tanker industry historically scrutinized for rate coordination; INSW participates in Euronav/INSW merger history and pool arrangements requiring ongoing competition law monitoring.
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
~30-40% recurring (time charters with multi-year contracts), ~60-70% transactional (spot voyage charters); spot market dominance creates significant revenue volatility quarter-to-quarter.
Inferred
Agent_Inference
monetization_vector
Asset utilization fees (voyage and time charter hire rates) on owned/leased tanker fleet; secondary revenue from vessel management fees and FSO/FPS unit contracts.
Inferred
Agent_Inference
pricing_architecture
Spot rates set by Baltic Exchange indices (BDTI/BCTI); time charter rates negotiated bilaterally; INSW is a price-taker in spot markets with limited ability to unilaterally raise rates.
Inferred
Agent_Inference
pricing_power_rating
Low standalone pricing power; rates driven by global supply/demand for tanker capacity; INSW benefits from supply constraints but cannot price above market clearing rates.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~50-65% (voyage revenues minus voyage expenses); EBITDA margins ~40-55% in strong rate environments; highly cyclical and compressed in rate downturns.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; each voyage/charter is a paid contract; churn risk is charterer non-renewal on time charters, mitigated by staggered contract expiry laddering.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital-linear not headcount-linear; doubling revenue requires adding vessels (capex) not proportional shore-side staff; crew scales with fleet but is variable cost.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is vessel acquisition/newbuild capex (~$60-100M per VLCC); operating leverage is high once fleet is deployed; incremental revenue has favorable marginal economics.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; INSW is not a franchise business. Regulatory compliance risk exists via IMO/MARPOL environmental regulations (CII, EEXI) requiring fleet upgrades.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains low (broker-intermediated market); unit economics depend on day rates vs. OpEx (~$8,000-12,000/day); scale benefits from G&A leverage and lower financing costs.
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; tanker shipping is a commodity service; scale provides procurement and financing advantages but no demand-side network effect exists.
Inferred
Agent_Inference
asset_efficiency_ratio
11.6% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate resilience; petroleum product demand is relatively inelastic short-term, but prolonged recession reduces crude trade volumes and suppresses freight rates significantly.
Inferred
Agent_Inference
customer_segment_primary
Major integrated oil companies and national oil companies (Shell, BP, Saudi Aramco, Vitol, Trafigura) as voyage charterers; concentration risk exists with top 10 charterers.
Inferred
Agent_Inference
customer_segment_secondary
Independent petroleum traders, refiners, and commodity trading houses as spot voyage customers; diverse counterparty base reduces single-customer concentration below material threshold.
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
0.3% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001679049
High
SEC-EDGAR
ticker
INSW
High
SEC-EDGAR