debt_leverage_profile
1.02x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
RadNet carries ~$700M+ in debt; a 200bps rate increase adds ~$14M annual interest expense, pressuring thin margins materially
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 imaging equipment concentrated in Siemens/GE/Philips manufacturing (Germany, China); semiconductor components for AI diagnostics sourced via Taiwan
Inferred
Agent_Inference
international_expansion_readiness
RadNet is ~95% U.S.-domestic; minimal sovereign currency devaluation exposure; international revenue negligible, making this token essentially non-applicable
Inferred
Agent_Inference
geographic_footprint
Operates ~400+ outpatient imaging centers across California, Maryland, New York, New Jersey, Florida, Arizona; overwhelmingly U.S.-only with no meaningful FX exposure
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
High dependency on GE/Siemens/Philips for MRI/CT hardware; DeepHealth AI platform proprietary but radiology workflow tied to Epic/RIS vendors exceeding substitutability threshold
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud termination risk; RadNet operates physical imaging centers; clinical operations and PACS/RIS systems are largely on-premise or hybrid, not cloud-native
Inferred
Agent_Inference
business_model_type_secondary
DeepHealth AI subsidiary has higher cloud dependency; AWS/GCP termination would disrupt AI model inference pipelines within 30 days, requiring urgent migration
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling risk; DeepHealth integrates with EHR/RIS systems via HL7/FHIR; switching costs meaningful but not insurmountable given standards-based interfaces
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; RadNet's revenue derives from fee-for-service medical imaging; no investment contract, profit-sharing, or token mechanism; securities risk negligible
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
High HIPAA exposure; CCPA applicable given California concentration (~60% of centers); limited GDPR exposure given minimal international operations; breach liability material
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate-to-elevated; RadNet holds dominant outpatient imaging market share in California and several metro markets; serial acquisitions draw FTC scrutiny under Hart-Scott-Rodino
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
~80% transactional fee-for-service (insurance reimbursement per scan); ~20% recurring via capitated managed care contracts and AI SaaS licensing from DeepHealth
Inferred
Agent_Inference
monetization_vector
Primary monetization via per-procedure insurance reimbursement (Medicare, Medicaid, commercial payers); secondary via AI diagnostic software licensing and capitation contracts
Inferred
Agent_Inference
pricing_architecture
Pricing largely set by CMS reimbursement schedules and payer contracts; limited independent pricing power; AI/software segment allows value-based pricing with better margins
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; reimbursement rates dictated by CMS and managed care negotiations; AI segment offers 4-6/10 pricing power; core imaging business scores 2-3/10
Inferred
Agent_Inference
target_gross_margin_bracket
Core imaging gross margin ~25-35%; DeepHealth AI segment targets 60-70% gross margins; blended company gross margin approximately 30-35%
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; imaging is a billable, credentialed service; no meaningful free-tier leakage; patient churn driven by geography and referral physician relationships
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear in core imaging (technologists, radiologists scale with volume); DeepHealth AI segment is sublinear, improving blended scalability over time
Inferred
Agent_Inference
marginal_cost_of_growth
Core imaging marginal cost high (requires facilities, equipment, staff); AI/software segment near-zero marginal cost per additional customer, driving long-term margin improvement thesis
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; RadNet operates company-owned centers; compliance risk is regulatory (ACR accreditation, state licensing) rather than franchise network drift
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC efficiency improves via brand and referral network density; however, capital expenditure per new center (~$3-5M) remains a binding constraint on scalability
Inferred
Agent_Inference
network_effect_present
Weak direct network effects in core imaging; DeepHealth AI benefits from data network effects—more scans improve diagnostic model accuracy, creating defensible moat over time
Inferred
Agent_Inference
asset_efficiency_ratio
0.8% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 2 recession resistance; elective imaging vulnerable to consumer cutbacks but essential diagnostic imaging (oncology, cardiology) provides ~60% revenue floor during downturns
Inferred
Agent_Inference
customer_segment_primary
Commercial and government health insurers (Medicare/Medicaid) as ultimate payers; referring physicians as demand drivers; no single payer represents >20% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Hospital systems and health networks contracting DeepHealth AI; self-pay patients (~5-8% of volume); employer health plans via direct radiology benefit management contracts
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
3.6% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000790526
High
SEC-EDGAR
ticker
RDNT
High
SEC-EDGAR