debt_leverage_profile
0.50x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
~$15M annual interest cost increase per 200bps rise; ~$750M floating-rate debt exposure makes refinancing risk moderate-high given offshore vessel financing norms
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
Middle East Gulf (Strait of Hormuz for GOM/MENA ops) and West Africa Niger Delta region represent top two geopolitical chokepoints for vessel deployment and fuel supply
Inferred
Agent_Inference
international_expansion_readiness
High devaluation exposure: Nigerian Naira (~15% revenue), Brazilian Real (~12%), and West African CFA Franc markets create meaningful FX translation risk annually
Inferred
Agent_Inference
geographic_footprint
Operations in Nigeria, Brazil, Middle East, Southeast Asia, and North Sea; Naira, Real, and CFA Franc represent top three currency devaluation risks totaling ~35% of revenue
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; fuel suppliers (multiple majors), shipyards (diverse), and crewing agencies spread risk; low lock-in score ~2/10
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud infrastructure dependency; operational systems (vessel tracking, ERP) could migrate within 90 days; core asset value is physical OSV fleet, not software
Inferred
Agent_Inference
business_model_type_secondary
Asset-heavy marine services; secondary digital/operational systems disruption would cause 2-4 week operational friction but no permanent revenue loss
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; no significant third-party API dependencies in revenue-generating operations; proprietary vessel management systems dominate
Inferred
Agent_Inference
howey_test_risk_index
Very low Howey risk; revenue derived from vessel charter/day-rate services, clear exchange of service for payment, no passive profit expectation from others' efforts
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; minimal consumer personal data processed; employee and crew data subject to standard maritime labor compliance, not high-volume consumer data flows
Inferred
Agent_Inference
antitrust_exposure_flag
Low-moderate; post-2016 OSV industry consolidation (absorbed GulfMark 2018) flagged minor scrutiny; current market share ~15% globally insufficient for dominance claims
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
~70% transactional day-rate contracts (30-180 day terms), ~30% longer multi-year charters; limited true recurring subscription revenue; highly utilization-dependent
Inferred
Agent_Inference
monetization_vector
Day-rate charter fees per vessel per day ($15,000-$40,000+ depending on vessel class); ancillary revenue from crew/logistics services comprises <10% of total
Inferred
Agent_Inference
pricing_architecture
Day-rate pricing tied to spot OSV market; limited contractual price escalators; stress scenario: 30% day-rate decline (as in 2015-2020) compresses EBITDA by ~60%
Inferred
Agent_Inference
pricing_power_rating
Moderate; Tidewater's scale and modern fleet command 5-10% premium over smaller rivals, but commodity-like OSV market limits sustained pricing power; rating 5/10
Inferred
Agent_Inference
target_gross_margin_bracket
-2.2% Gross Margin (Negative equity)
High
SEC-XBRL
churn_vulnerability_index
No free-rider leakage; physical asset deployment prevents non-paying usage; churn risk tied to E&P capex cycles rather than competitive substitution
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear; each incremental vessel requires ~20-25 crew; doubling revenue requires ~proportional crew/marine staff growth; sublinear only in G&A
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; vessel acquisition ($20M-$60M per OSV) and crew costs dominate incremental revenue; no software-like scalability; EBITDA margins plateau ~35-40%
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Tidewater does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains low (direct B2B sales to majors/NOCs); but vessel supply constraints and shipyard capacity become binding; returns compress beyond ~400 vessel fleet
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; OSV utilization does not improve with fleet scale from demand side; geographic density provides mild operational efficiency only
Inferred
Agent_Inference
asset_efficiency_ratio
9.2% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 4 (cyclical); revenue highly correlated with oil price and E&P capex; 2014-2020 downturn saw 60%+ revenue decline; minimal recession resilience
Inferred
Agent_Inference
customer_segment_primary
Major international oil companies (Shell, BP, Chevron, TotalEnergies) and national oil companies (Petrobras, Saudi Aramco) representing ~60% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Independent E&P operators and offshore wind developers (emerging, <10% currently); concentration risk high with top-5 customers likely representing 40-50% of revenue
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
1.9% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000098222
High
SEC-EDGAR
ticker
TDW
High
SEC-EDGAR