debt_leverage_profile
Net debt ~$2.8B, leverage ~4.5x EBITDA; 20% rate rise adds ~$56M annual interest expense given ~60% variable-rate exposure
Inferred
Agent_Inference
interest_rate_sensitivity
~$280M floating-rate debt exposure; 20% increase in base rates (~100bps) pressures free cash flow by ~$28-56M annually
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
Diesel fuel supply via Gulf Coast refining corridor; landfill liner/equipment manufacturing concentrated in US Midwest industrial base
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Operations entirely domestic (Northeast/Mid-Atlantic US); zero sovereign currency devaluation exposure across international markets
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
Diesel fuel (~15-20% of operating costs) and Republic/Waste Connections equipment OEMs create moderate but substitutable dependencies; no single vendor >30%
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy physical waste collection and disposal; cloud disruption negligible—core operations are truck routing, landfill management, not cloud-dependent SaaS
Inferred
Agent_Inference
business_model_type_secondary
Recycling processing and commodity sales (~10% revenue); landfill gas-to-energy generation as secondary revenue stream
Inferred
Agent_Inference
switching_cost_profile
Minimal cloud API coupling risk; operational software (routing, billing) could migrate in 90+ days with moderate disruption but no existential risk
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from waste hauling/disposal service contracts—no investment of money in common enterprise expecting profits from others' efforts
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure (US-only operations); moderate CCPA exposure for California customers; primary data is operational/billing, not sensitive personal data
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate-high; serial acquirer in concentrated Northeast markets; DOJ/FTC scrutiny on local market share post-acquisition; ~40 acquisitions since 2016
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
~85% recurring via multi-year municipal and commercial service contracts; ~15% transactional (recycled commodity sales, special waste)
Inferred
Agent_Inference
monetization_vector
Per-unit volume-based fees (tons, lifts, hauls) under long-term contracts with CPI/fuel escalators plus recycling commodity revenue
Inferred
Agent_Inference
pricing_architecture
Cost-plus with CPI and fuel surcharge escalators; franchise agreements cap municipal pricing; commodity recycling prices (~$80-120/ton) create volatility
Inferred
Agent_Inference
pricing_power_rating
Strong (7/10); essential service with limited substitutes, regulatory moats, and contractual escalators offset by municipal rate approval requirements
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~35-40%; EBITDA margin ~27-30%; landfill-heavy mix improves margins vs. pure-collection peers
Inferred
Agent_Inference
churn_vulnerability_index
Very low free-rider risk; waste disposal is regulated mandatory service; residential/commercial customers have no practical free alternative
Inferred
Agent_Inference
headcount_cost_structure
Largely headcount-linear for collection operations (drivers, mechanics); landfill/transfer station operations offer modest sublinear scaling at volume
Inferred
Agent_Inference
marginal_cost_of_growth
Growth via acquisition (capital-intensive, not headcount-efficient); organic volume growth requires proportional fleet/driver additions—limited operating leverage
Inferred
Agent_Inference
franchise_compliance_risk
Municipal franchise agreements create compliance drift risk; ~200+ contracts with varying terms, renewal schedules, and service-level requirements across Northeast
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, municipal RFP competition intensifies, driver labor markets tighten further, and landfill capacity becomes critical constraint on unit economics
Inferred
Agent_Inference
network_effect_present
Weak/absent traditional network effects; density routing creates localized cost advantages (route density effect) but not true demand-side network effects
Inferred
Agent_Inference
asset_efficiency_ratio
0.4% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession-resistant; waste generation declines only ~5-8% in severe recessions; essential municipal contracts provide floor; 2008-09 revenue dipped <10%
Inferred
Agent_Inference
customer_segment_primary
Municipal/governmental (~40% revenue); residential and commercial collection under long-term franchise agreements in Northeast US
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial customers (~45% revenue); retail, manufacturing, healthcare, construction—diversified across thousands of accounts, low concentration risk
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
13.3% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0000911177
High
SEC-EDGAR
ticker
CWST
High
SEC-EDGAR