debt_leverage_profile
Net debt ~$22B, leverage ~3.5x EBITDA; 20% rate rise adds ~$440M annual interest expense on floating-rate portion (~$2.2B variable debt).
Inferred
Agent_Inference
interest_rate_sensitivity
~15% of debt is floating-rate; 20% increase in rates (~100bps on current levels) pressures free cash flow by roughly $200-250M annually.
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
1) Gulf Coast fuel supply corridors (diesel for fleet); 2) Midwest steel manufacturing hubs (truck/container procurement).
Inferred
Agent_Inference
international_expansion_readiness
WM derives ~95%+ revenue from US/Canada; minimal sovereign currency devaluation exposure; Canadian CAD/USD fluctuation is primary FX risk, modest impact.
Inferred
Agent_Inference
geographic_footprint
Predominantly US (~90%) and Canada (~8%); CAD devaluation is primary risk; negligible exposure to emerging-market currency volatility.
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
No single vendor exceeds 30% of input costs; diesel fuel is largest input (~10-12% of revenue) but sourced from multiple suppliers—moderate substitutability.
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy physical infrastructure; cloud disruption risk is negligible—operations depend on trucks, landfills, and transfer stations, not cloud compute.
Inferred
Agent_Inference
business_model_type_secondary
SaaS-like billing/routing software is cloud-dependent but non-core; 30-day termination would disrupt back-office, not core waste collection operations.
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; WM uses standard ERP/fleet management platforms (SAP, Salesforce); no proprietary API lock-in with single provider.
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test entirely; revenue model is fee-for-service waste collection and disposal—no investment contract, no profit expectation from third-party efforts.
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure (minimal EU operations); moderate CCPA exposure for California customer data; no significant cross-border data transfer risk.
Inferred
Agent_Inference
antitrust_exposure_flag
HIGH; WM faces ongoing DOJ/FTC scrutiny—proposed Stericycle acquisition reviewed; local market duopoly with Republic Services raises pricing and market-share concerns.
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 (multi-year municipal and commercial contracts); ~25-30% transactional (roll-off, special waste, one-time pickups).
Inferred
Agent_Inference
monetization_vector
Service fee per pickup/ton plus fuel surcharges, environmental fees, and recycling commodity revenue; B2B and municipal contract-based billing.
Inferred
Agent_Inference
pricing_architecture
Cost-plus with CPI/fuel escalators embedded in contracts; pricing power strong in captive municipal markets; competitive pressure in open-market commercial accounts.
Inferred
Agent_Inference
pricing_power_rating
HIGH (8/10); essential service with limited substitutes, regulatory barriers to entry, and contractual CPI escalators protect margins against cost inflation.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~38-42%; EBITDA margin ~28-30%; landfill and collection segments carry highest margins; recycling is margin-dilutive.
Inferred
Agent_Inference
churn_vulnerability_index
Minimal free-rider risk; waste collection is a paid mandatory service; no free tier exists; churn risk is low due to switching costs and contract lock-ins.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-sublinear at margin; route density improvements and automation (AI routing, automated trucks) reduce incremental labor per revenue dollar.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (trucks, landfill capacity) but operationally sublinear; technology and route optimization compress incremental headcount needs.
Inferred
Agent_Inference
franchise_compliance_risk
WM operates directly, not via franchises; municipal contract compliance drift is low risk—standardized service agreements with penalty clauses manage variance.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains low (municipal RFP process); unit economics improve via route density but landfill capacity constraints become binding—ROIC may compress.
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; scale advantages via route density and landfill proximity create cost moats, but value does not increase with more users per se.
Inferred
Agent_Inference
asset_efficiency_ratio
7.5% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
TIER 1 (highly recession-resistant); waste generation is non-discretionary; WM maintained revenue stability through 2008-09 and COVID-19 with <5% volume declines.
Inferred
Agent_Inference
customer_segment_primary
Municipal/government contracts (~35% revenue); top single customer unlikely to exceed 3-4% of total revenue—low concentration risk.
Inferred
Agent_Inference
customer_segment_secondary
Commercial small-to-medium businesses (~45% revenue); highly fragmented base with thousands of accounts—diversified and low individual 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", "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
11.1% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0000823768
High
SEC-EDGAR