debt_leverage_profile
0.02x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Low direct sensitivity; minimal long-term debt, but rising rates increase cost of equity capital raises critical for cash-burning pre-profit stage company
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Specialized marine-grade power electronics from Asian manufacturers; rare-earth magnets for wave energy converters concentrated in China
Inferred
Agent_Inference
international_expansion_readiness
Exposure to AUD, GBP, and EUR devaluation; Australian and UK defense/energy contracts create moderate FX risk on ~40% of international revenues
Inferred
Agent_Inference
geographic_footprint
Primary markets: Australia, UK, Europe; AUD and GBP devaluation risk most material given active government contracts denominated in local currencies
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Single-source marine-grade mooring and power conversion component suppliers likely represent non-substitutable inputs; no public >30% vendor disclosed but concentration risk is high
Inferred
Agent_Inference
business_model_type_primary
Operational disruption moderate; OPT uses cloud for data telemetry and remote monitoring of wave energy buoys; migration painful but survivable within 60-90 days
Inferred
Agent_Inference
business_model_type_secondary
Hardware and services revenue would be temporarily impaired; real-time PowerBuoy monitoring dashboards depend on cloud infrastructure for customer deliverables
Inferred
Agent_Inference
switching_cost_profile
API coupling risk low; OPT's core IP is proprietary hardware and firmware; software integrations with government/defense clients are custom and loosely coupled
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from hardware sales and service contracts is not a securities offering; no profit-sharing or investment contract structure present
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via EU and UK defense/energy client data; CCPA exposure minimal given B2G focus; compliance costs manageable but not yet fully documented
Inferred
Agent_Inference
antitrust_exposure_flag
Negligible antitrust risk; OPT operates in nascent wave energy market with minimal market share and no dominant position in any relevant product market
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Approximately 60-70% project/transactional (hardware delivery), 30-40% recurring via service retainers and multi-year government support contracts
Inferred
Agent_Inference
monetization_vector
Primary: hardware product sales (PowerBuoy units); Secondary: managed services, data subscriptions, and long-term government maintenance contracts
Inferred
Agent_Inference
pricing_architecture
Cost-plus government contract pricing; limited ability to absorb input cost inflation without contract renegotiation; fixed-price contracts create margin compression risk
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; government procurement constrains premium pricing; differentiated technology provides some leverage but competitive pressure from solar/wind alternatives limits power
Inferred
Agent_Inference
target_gross_margin_bracket
28.3% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; proprietary hardware requires purchase; however, small customer base means single contract non-renewal creates significant revenue cliff risk
Inferred
Agent_Inference
headcount_cost_structure
Largely headcount-linear at current scale; engineering and deployment labor scales with project volume; limited software leverage until remote monitoring scales independently
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; each new deployment requires engineering, manufacturing, and marine installation labor; no digital scalability in core product line
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; OPT does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC likely improves via brand recognition in defense/energy; LTV:CAC ratio currently unfavorable given long sales cycles and high deployment costs
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; each PowerBuoy deployment is independent; data aggregation across units could create weak informational network effect over time
Inferred
Agent_Inference
asset_efficiency_ratio
-73.2% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Moderate resilience; government and defense contracts provide stability, but capital-intensive clean energy projects face budget cuts in severe recessions
Inferred
Agent_Inference
customer_segment_primary
U.S. and allied government/defense agencies (U.S. Navy, DARPA, DoE); represent majority of revenue with high concentration risk in federal budget cycles
Inferred
Agent_Inference
customer_segment_secondary
Offshore oil and gas operators and commercial maritime sector seeking remote power solutions; smaller revenue contribution but diversifies away from pure government dependency
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", "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"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
8.6% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001378140
High
SEC-EDGAR
ticker
OPTT
High
SEC-EDGAR