debt_leverage_profile
0.09x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
A 200bps rate increase raises annual interest expense ~$8-12M on ~$400M floating-rate debt, compressing net income by ~15-20%
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
Suez Canal (Asia-Europe trade routes) and Strait of Malacca (Asia-Pacific commodity flows) are top two critical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Revenue denominated in USD eliminates direct FX devaluation risk; freight rates indirectly affected by emerging-market currency weakness reducing commodity import demand
Inferred
Agent_Inference
geographic_footprint
Operations span global oceans; top revenue markets (China, Brazil, Australia commodity trades) all USD-denominated, limiting sovereign currency devaluation exposure materially
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; fuel suppliers and port agents are substitutable, though bunker fuel represents ~40-50% of voyage costs collectively
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination would cause minimal operational disruption; core operations are vessel-based with traditional maritime IT, not cloud-dependent SaaS
Inferred
Agent_Inference
business_model_type_secondary
Back-office and fleet management software could face disruption but is largely on-premise or maritime-specific platforms, not AWS/GCP/Azure dependent
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; Genco uses standard maritime ERP and voyage management systems with no critical third-party API dependencies
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model is physical asset vessel chartering, clearly a traditional shipping service, not an investment contract or security
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; Genco handles minimal consumer personal data, primarily B2B counterparty and crew data with limited regulatory compliance complexity
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; Genco holds less than 5% of global dry bulk capacity; Baltic Exchange rate-setting provides transparent pricing benchmark
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
~100% transactional; spot voyage charters and short-term time charters dominate, with minimal multi-year contracted revenue, making cash flows highly cyclical
Inferred
Agent_Inference
monetization_vector
Per-voyage freight rate revenue based on cargo tonnage and distance; secondary time-charter daily hire rate monetization for fleet sub-segments
Inferred
Agent_Inference
pricing_architecture
Freight rates set by Baltic Dry Index market; Genco is price-taker with no proprietary pricing power; stress scenario of 30% BDI drop reduces revenue proportionally
Inferred
Agent_Inference
pricing_power_rating
Very low; commodity price-taker in spot freight market; BDI volatility of 50-70% year-over-year demonstrates near-zero independent pricing authority
Inferred
Agent_Inference
target_gross_margin_bracket
Voyage gross margin typically 30-50%; time-charter equivalent earnings minus voyage costs; EBITDA margins of 40-55% at mid-cycle BDI levels
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; chartering is transactional with direct payment per voyage; customer 'churn' is inherent to spot market without structural leakage
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; adding vessels requires crew scaling but shore-side G&A grows modestly; fleet expansion is capital- not headcount-intensive
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital expenditure for vessel acquisition (~$30-60M per vessel); incremental operating leverage exists as G&A fixed costs spread over larger fleet
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Genco operates no franchise network
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, Baltic freight market liquidity supports volume but Genco would represent significant market share; CAC near zero as brokers intermediary all transactions
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; dry bulk shipping is commoditized; larger fleet provides minor operational scale benefits but no user-growth flywheel
Inferred
Agent_Inference
asset_efficiency_ratio
-2.9% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Low recession resistance; dry bulk demand tightly correlated with global industrial production and commodity trade volumes, which contract sharply in downturns
Inferred
Agent_Inference
customer_segment_primary
Major commodity trading houses, steel mills, and grain traders; no single charterer represents more than 10-15% of revenue in spot-dominated model
Inferred
Agent_Inference
customer_segment_secondary
Industrial manufacturers and energy companies chartering bulk carriers for raw material imports; customer concentration risk is low due to spot market diversification
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
0.9% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001326200
High
SEC-EDGAR
ticker
GNK
High
SEC-EDGAR