debt_leverage_profile
Net debt ~$1.7B, leverage ratio ~4.5x EBITDA; 20% rate rise adds ~$34M annual interest expense on floating-rate tranche
Inferred
Agent_Inference
interest_rate_sensitivity
~30% of debt is floating-rate; 20% rate increase compresses free cash flow by ~$30-35M, reducing FCF yield by ~1.5pp
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) Gulf of Mexico plastic resin shipping lanes; 2) Canadian border crossings for water-cooler equipment imports from Asia
Inferred
Agent_Inference
international_expansion_readiness
Primary FX exposure: EUR (Europe ~20% revenue), GBP (UK), CAD (Canada); CAD most material given North American operations scale
Inferred
Agent_Inference
geographic_footprint
Operates in US, Canada, Europe (primarily UK, France, Germany); CAD and EUR devaluation pose meaningful translation risk to USD reporting
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
No single vendor exceeds 30% of input costs; plastic resin suppliers are concentrated but substitutable across 3-4 major petrochemical providers
Inferred
Agent_Inference
business_model_type_primary
Physical water-delivery and cooler-rental business; not cloud-dependent — route logistics software outage causes disruption, not existential failure
Inferred
Agent_Inference
business_model_type_secondary
Hybrid: recurring water-delivery subscription plus equipment rental; cloud termination would disrupt routing/billing but physical ops continue
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; primarily uses third-party route-optimization and ERP platforms; no proprietary API ecosystem creating external lock-in
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue model is direct service delivery (water/cooler rental), not an investment contract — negligible securities classification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via EU customer billing data; CCPA applies to California residential customers; no sensitive health/financial data materially elevates risk
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; post-Cott/DS Waters acquisitions created regional dominance in HOD water; FTC scrutiny possible on further consolidation but no active proceedings
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
~70-75% recurring (subscription delivery contracts, cooler rentals); ~25-30% transactional (one-time equipment sales, filtration products)
Inferred
Agent_Inference
monetization_vector
Recurring monthly delivery subscriptions plus cooler rental fees; upsell via filtration, flavored water, and coffee accessories
Inferred
Agent_Inference
pricing_architecture
Cost-plus with annual escalators; 5-10% price increases implemented 2022-2023 largely held, indicating moderate pricing power vs. commodity-exposed cost base
Inferred
Agent_Inference
pricing_power_rating
Moderate (6/10); customers accept incremental increases but churn risk rises above ~10% annual hike; competitive alternatives from retail water limit ceiling
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~35-40%; constrained by fuel, resin, and labor costs; asset-heavy physical distribution limits margin expansion beyond ~42%
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider leakage; subscription model requires active account — no meaningful free-tier exploitation; annual churn estimated 8-12% for residential segment
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear due to route-driver model; doubling revenue requires near-proportional driver/delivery headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear only at density within existing routes; entering new geographies requires full route infrastructure build — high marginal cost of geographic expansion
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; company-owned routes dominate; limited franchisee compliance drift risk, though third-party distribution partners exist in select markets
Inferred
Agent_Inference
customer_acquisition_metric
CAC estimated $150-250 per residential customer; LTV/CAC ratio ~3-4x at current scale; 10x scale improves route density, lowering delivery cost per stop
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; water delivery is point-to-point physical service — route density creates cost advantage but not demand-side network effects
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core delivery; route optimization AI already deployed; driver replacement via autonomous vehicles is 10+ year horizon
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 — moderately recession-resistant; water is essential but customers downgrade to retail jugs; residential churn rises ~3-5pp in severe recessions
Inferred
Agent_Inference
customer_segment_primary
Residential HOD (Home and Office Delivery) water subscribers — majority of revenue; fragmented, no single customer >1% of revenue
Inferred
Agent_Inference
customer_segment_secondary
SMB office accounts (5-500 employees); higher average order value but more price-sensitive and faster to cancel in downturns than large enterprise
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
CapEx ~5-7% of revenue; split between fleet renewal and cooler/dispenser assets; modest reallocation toward filtration tech but legacy physical asset base dominates
Inferred
Agent_Inference
sec_cik
1643953
Inferred
Agent_Inference
ticker
PRMW
Inferred
Agent_Inference