debt_leverage_profile
Net debt ~A$2.8B, net debt/EBITDA ~2.8x; a 20bp rate rise adds ~A$5-6M annual interest cost on floating-rate tranches
Inferred
Agent_Inference
interest_rate_sensitivity
~30-40% of debt is floating-rate; 20bp increase compresses NPAT by ~A$4-6M (~2-3% earnings impact) given thin net margins
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
Australian east-coast fuel supply (diesel for fleet) and Chinese recycled commodity export markets are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Cleanaway operates almost exclusively in Australia; sovereign currency devaluation risk in international markets is effectively nil
Inferred
Agent_Inference
geographic_footprint
Domestic Australia only (~99% revenue); no material foreign currency revenue exposure; AUD is sole operating currency
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
Diesel fuel is largest single input (~15-20% of opex); no single vendor >30%, but fuel price concentration creates non-trivial exposure
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy physical waste infrastructure; no meaningful cloud dependency; cloud termination would cause minor IT disruption only
Inferred
Agent_Inference
business_model_type_secondary
Back-office ERP and route optimisation software (SAP, fleet telematics) could face 30-day transition stress but operations would continue
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operational systems are logistics/fleet telematics, not customer-facing APIs; switching cost is moderate internally
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test entirely; revenue model is fee-for-service waste collection and processing — no investment contract or profit-sharing element
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR exposure (no EU operations); CCPA not applicable; Australian Privacy Act compliance required but low complexity relative to peers
Inferred
Agent_Inference
antitrust_exposure_flag
Elevated; ACCC scrutiny ongoing on waste sector consolidation; Cleanaway holds ~30%+ Australian market share in some segments
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
~70-75% recurring via multi-year municipal and commercial contracts; ~25-30% transactional (spot industrial, remediation projects)
Inferred
Agent_Inference
monetization_vector
Long-term gate-fee and collection contracts with local government and commercial clients; volume-linked pricing with CPI escalators
Inferred
Agent_Inference
pricing_architecture
CPI-linked escalation clauses in most contracts; fuel surcharge mechanisms partially offset cost inflation; pricing power moderate
Inferred
Agent_Inference
pricing_power_rating
Moderate-to-strong; essential service with limited alternatives, but municipal contract renegotiation caps upside; rated 6/10
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~35-40%; EBITDA margin ~22-25%; capital intensity limits net margin to ~4-6%
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; waste collection is regulated and contracted; illegal dumping exists but does not materially displace Cleanaway revenue
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is near headcount-linear; each new collection route requires drivers and mechanics; limited scalability without automation
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear only at infrastructure layer (existing landfill/MRF capacity); collection growth is largely linear in labour and fleet cost
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC economics improve via route density; however, landfill capacity and EPA licensing become binding constraints nationally
Inferred
Agent_Inference
network_effect_present
Weak network effects; route density creates local cost advantages but no cross-customer value accrual; durability low, rated 2/10
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low-to-moderate; route optimisation AI can improve margins ~2-3% but cannot replace physical collection infrastructure
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession-resistant; waste collection is essential and government-contracted; volumes decline only marginally in deep recessions
Inferred
Agent_Inference
customer_segment_primary
Municipal/local government councils (~40-45% revenue); long-term contracts with low churn but price-sensitive at renewal
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial clients (~35-40%); more fragmented, lower concentration risk but higher churn than municipal segment
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
Capex ~A$500-600M p.a.; mix shifting toward energy-from-waste and MRF infrastructure (future-state) from pure fleet replacement (legacy)
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
CWY.AX; trading at ~18-20x EV/EBITDA, broadly fair value; geopolitical commodity risk (recycled commodity prices) partially reflected but not at deep discount
Inferred
Agent_Inference