debt_leverage_profile
High leverage; net debt ~$20M+ against sub-$50M revenue base; 20% rate rise materially increases interest burden and strains covenant headroom
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate exposure on project-finance debt means 20% rate increase adds ~$1-2M annual interest cost, compressing already thin margins
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
1) Critical minerals (lithium, cobalt) from DRC/Congo Basin; 2) Solar panel components from China amid US-China trade tensions
Inferred
Agent_Inference
international_expansion_readiness
Exposed to AUD depreciation (Australia operations), NGN volatility (Africa/Nigeria EV push), and GBP fluctuation (UK-listed parent)
Inferred
Agent_Inference
geographic_footprint
Operations across Australia, USA, Africa, and UK; AUD and NGN devaluation risk most acute given project revenue 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
Battery and EV conversion technology suppliers (e.g., Tembo) represent non-substitutable input; single-supplier dependency exceeds 30% of operational cost
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy project delivery and energy-as-a-service; cloud disruption risk is low — operations are physical infrastructure-dependent
Inferred
Agent_Inference
business_model_type_secondary
Sustainable energy solutions and EV conversion services; minimal SaaS layer means cloud termination causes administrative disruption only
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; business is hardware/project-delivery centric with no significant third-party API dependencies in core revenue delivery
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from physical energy projects and EV conversions, not token/investment schemes; no securities law ambiguity
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited GDPR/CCPA exposure; not a data-intensive business; some employee/contractor data obligations but no consumer data monetization
Inferred
Agent_Inference
antitrust_exposure_flag
Negligible antitrust risk; sub-scale player in fragmented renewable energy and EV markets with no dominant market position
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
Predominantly transactional project-based revenue (~70-80%); energy-as-a-service contracts provide ~20-30% recurring component
Inferred
Agent_Inference
monetization_vector
Project delivery fees, EV conversion sales, and emerging energy-as-a-service long-term offtake agreements
Inferred
Agent_Inference
pricing_architecture
Cost-plus project pricing with thin margins; limited ability to absorb input cost inflation, making pricing architecture fragile under stress
Inferred
Agent_Inference
pricing_power_rating
Low pricing power; operates in competitive renewable/EV markets with commodity-like components and government-tender pricing pressure
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins estimated 15-30%; EV conversion and energy project margins compressed by hardware costs and supply chain pricing
Inferred
Agent_Inference
churn_vulnerability_index
Minimal free-rider leakage; services are contracted and project-specific; however, project pipeline lumpy with high single-contract dependency
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; project delivery requires proportional engineering, installation, and project management scaling
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; doubling revenue likely requires near-doubling of project delivery staff and capital equipment procurement
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; VivoPower does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC efficiency improves modestly through brand recognition but remains high due to long B2B sales cycles and tender processes
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; hardware/project business does not benefit from user-base scale dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low in core operations; physical installation and project engineering resist near-term AI substitution
Inferred
Agent_Inference
recession_resistance_tier
Low-to-moderate recession resistance; capital expenditure by mining/industrial clients defers in downturns, reducing project pipeline
Inferred
Agent_Inference
customer_segment_primary
Mining and resources companies in Australia/Africa requiring off-grid power and EV fleet electrification
Inferred
Agent_Inference
customer_segment_secondary
Industrial and commercial clients in developed markets seeking sustainable energy transition and EV conversion solutions
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
Capital is shifting toward EV conversion (Tembo) and energy-as-a-service infrastructure, away from legacy diesel-centric power generation models
Inferred
Agent_Inference
sec_cik
0001681348
High
SEC-EDGAR
ticker
VIVO
High
SEC-EDGAR