debt_leverage_profile
Near-zero debt; USANA carries minimal long-term debt with strong cash position (~$200M+), so a 20% rate rise has negligible P&L impact
Inferred
Agent_Inference
interest_rate_sensitivity
Low sensitivity; minimal floating-rate debt exposure means a 20% rate increase adds <$1M annual interest cost, immaterial to operations
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
Top chokepoints: (1) Chinese manufacturing/ingredient sourcing amid US-China trade tensions; (2) Taiwan Strait disruption affecting Asia-Pacific distribution
Inferred
Agent_Inference
international_expansion_readiness
High exposure: China (~50% revenue) RMB devaluation risk, plus meaningful exposure to South Korean Won and Malaysian Ringgit volatility
Inferred
Agent_Inference
geographic_footprint
Operations in 24+ markets; China dominates (~50% revenue), with Asia-Pacific representing ~80% total; heavy concentration in emerging-market currencies
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; USANA manufactures most products in-house at Utah facility, limiting single-supplier lock-in
Inferred
Agent_Inference
business_model_type_primary
Direct-to-consumer nutritional supplements via MLM/direct sales; cloud disruption would impact e-commerce and distributor portals but not core fulfillment
Inferred
Agent_Inference
business_model_type_secondary
30-day cloud termination would disrupt Associate back-office tools and ordering systems; recovery feasible within 60-90 days via migration
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; no disclosed mission-critical third-party API dependencies; primary digital touchpoints are proprietary or commodity platforms
Inferred
Agent_Inference
howey_test_risk_index
Moderate Howey risk; distributor income from recruiting could imply investment contract; FTC scrutiny of MLM income claims is ongoing structural risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Significant exposure; operates in China (PIPL compliance), EU (GDPR), California (CCPA); cross-border health/personal data flows create material compliance cost
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; MLM structure faces ongoing FTC pyramid-scheme scrutiny; no current major antitrust action but business model is inherently under regulatory watch
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
~85% transactional (product sales via Associates); ~15% quasi-recurring via Preferred Customer subscriptions and autoship programs
Inferred
Agent_Inference
monetization_vector
Product margin on nutritional supplements sold through independent Associates; autoship/preferred customer programs provide partial revenue predictability
Inferred
Agent_Inference
pricing_architecture
Premium-positioned nutraceuticals with limited price elasticity testing; competitor commoditization and Amazon private-label pressure could compress margins 200-400bps
Inferred
Agent_Inference
pricing_power_rating
Moderate (6/10); brand loyalty supports modest pricing power but MLM channel discount structures and commodity ingredient costs limit sustained price increases
Inferred
Agent_Inference
target_gross_margin_bracket
78.3% Gross Margin (Premium (>60%))
High
SEC-XBRL
churn_vulnerability_index
Moderate free-rider risk; Associates consume products at discount without active selling; ~60% of 'distributors' are effectively end consumers, diluting active sales force
Inferred
Agent_Inference
headcount_cost_structure
Sublinear; independent Associate model means revenue growth does not require proportional employee headcount increases; corporate headcount ~1,700 is relatively fixed
Inferred
Agent_Inference
marginal_cost_of_growth
Low marginal cost of growth; incremental revenue primarily requires product COGS (~40%) and Associate commissions (~40%); minimal capital investment needed for scale
Inferred
Agent_Inference
franchise_compliance_risk
High compliance drift risk; 500,000+ independent Associates globally are difficult to monitor for income claim misrepresentation and recruiting practice violations
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, Associate recruitment economics deteriorate (market saturation); CAC likely increases 3-5x while LTV compresses due to distributor density limits
Inferred
Agent_Inference
network_effect_present
Weak network effects; MLM recruiting creates social network but product value does not increase with more users; distributor network is more distribution than network effect
Inferred
Agent_Inference
asset_efficiency_ratio
5.6% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 3 (moderate vulnerability); health supplements see some trade-down during recessions; MLM income opportunity attracting cost-conscious recruits partially offsets volume decline
Inferred
Agent_Inference
customer_segment_primary
Independent Associates/distributors (~500K globally) who buy products for personal use and resale; heavy concentration in Chinese and Asian-American demographics
Inferred
Agent_Inference
customer_segment_secondary
Preferred Customers (direct end-consumers on autoship); estimated 200K-300K globally, representing growing strategic priority away from pure MLM model
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
1.5% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000896264
High
SEC-EDGAR
ticker
USNA
High
SEC-EDGAR