debt_leverage_profile
0.76x Total Debt / Equity (Moderate leverage)
High
SEC-XBRL
interest_rate_sensitivity
A 200bps rate increase raises annual interest expense ~$60-80M given ~$4.5B long-term debt, compressing EPS by ~$0.80-1.00; mostly fixed-rate mitigates near-term exposure
Inferred
Agent_Inference
geopolitical_supply_exposure
Low intensity; China and India supply >60% of global API inputs, creating concentration risk.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Medical supply/pharmaceutical distribution concentrated through McKesson and Cardinal Health; generic drug sourcing dependent on India/China API manufacturing corridors
Inferred
Agent_Inference
international_expansion_readiness
Minimal sovereign currency risk; ~95% of revenue is U.S.-domestic; UK operations (Cygnet Health) expose ~3-4% of revenue to GBP devaluation risk
Inferred
Agent_Inference
geographic_footprint
Predominantly U.S.-based (96%+ revenue); UK subsidiary Cygnet represents primary international exposure; GBP/USD fluctuation is the dominant FX risk
Inferred
Agent_Inference
commodity_exposure_profile
Low intensity; commodities: Active Pharmaceutical Ingredients, Rare Earth Elements, Natural Gas (energy), Plastics/Resins, Ethanol, Packaging Materials; geopolitical: China and India supply >60% of global API inputs, creating concentration risk.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30% of input costs; however McKesson pharmaceutical distribution and Epic EHR platform represent high-switching-cost, quasi-locked dependencies
Inferred
Agent_Inference
business_model_type_primary
Cloud disruption risk is moderate-low; core clinical operations run on on-premise and hybrid EHR systems; 30-day AWS termination would disrupt analytics/back-office but not acute care delivery
Inferred
Agent_Inference
business_model_type_secondary
Secondary administrative and billing systems are partially cloud-hosted; migration feasible within 60-90 days with significant cost but not existential operational risk
Inferred
Agent_Inference
switching_cost_profile
Epic EHR API coupling is high; replacing Epic across 400+ facilities would cost $500M+ and 3-5 years; payor contracting APIs moderately substitutable
Inferred
Agent_Inference
howey_test_risk_index
Near-zero Howey Test risk; UHS generates revenue through direct healthcare services delivery, not investment contracts; no securities law reclassification exposure
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
High HIPAA exposure domestically; GDPR risk limited to UK/EU Cygnet operations; CCPA applies to California facilities; overall compliance cost estimated $50-80M annually
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; FTC scrutiny on hospital market consolidation rising; UHS holds dominant positions in select regional behavioral health markets attracting state-level scrutiny
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FDA, CMS, HHS, HIPAA, EMA, OIG; Drug pricing legislation and approval delays directly compress revenue visibility.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~70-75% quasi-recurring via government payor contracts (Medicare/Medicaid) and commercial managed care agreements; ~25-30% transactional fee-for-service
Inferred
Agent_Inference
monetization_vector
Fee-for-service and value-based care reimbursement from government payors (Medicare/Medicaid ~40%) and commercial insurers (~55%); small self-pay component (~5%)
Inferred
Agent_Inference
pricing_architecture
Pricing set via payor contract negotiations and CMS rate schedules; limited direct pricing power; commercial rates typically 150-200% of Medicare; stress point is Medicaid rate freezes
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; reimbursement rates largely externally set by CMS and commercial contracts; behavioral health segment has slightly better pricing flexibility than acute care
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~30-35%; EBITDA margin ~12-15%; labor cost (60-65% of revenue) is primary margin constraint; limited ability to expand without labor productivity gains
Inferred
Agent_Inference
churn_vulnerability_index
No material free-rider problem; services are consumed individually; patient volume churn is low given geographic market captivity and emergency/behavioral health necessity
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is near-linear to headcount; clinical staffing (nurses, physicians, techs) must scale with patient volume; administrative functions offer modest sublinear scaling
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; each new hospital bed or facility requires proportional clinical FTEs; greenfield expansion capex ~$200-400M per acute facility; no meaningful digital leverage
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; UHS operates owned/leased facilities; compliance risk is regulatory (CMS Conditions of Participation, Joint Commission) rather than franchise drift
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, payor concentration risk intensifies; CAC is effectively marketing + physician referral network investment; unit economics improve modestly via overhead leverage only
Inferred
Agent_Inference
network_effect_present
Weak network effects; patient volume referral networks exist locally but don't compound digitally; behavioral health bed scarcity creates supply-side moat, not demand-side network effect
Inferred
Agent_Inference
asset_efficiency_ratio
12.7% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession resistant; healthcare demand is largely inelastic; behavioral health volumes historically counter-cyclical; government payor mix (~40%) provides revenue floor
Inferred
Agent_Inference
customer_segment_primary
Individual patients covered by commercial insurance (~55% of revenue); no single commercial payor exceeds ~15% of revenue reducing concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Government payors (Medicare/Medicaid) represent ~40% of revenue; Medicaid rate and eligibility policy changes represent the highest single customer-segment concentration risk
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "19-0000 Life, Physical, and Social Science Occupations", "21-0000 Community and Social Service Occupations", "23-0000 Legal Occupations", "29-0000 Healthcare Practitioners and Technical Occupations", "31-0000 Healthcare Support Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "51-0000 Production Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.32 (HIL — ~32% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
5.8% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0000352915
High
SEC-EDGAR
ticker
UHS
High
SEC-EDGAR