Ultragenyx Pharmaceutical Inc.
17b5a2959ffa46269a7020806ae13f77
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T02:21:06.982896+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-036 Product to Capability WHAT High
Direct: revenue_model_type=Predominantly transactional (~85% product sales); milestone/royalty revenues (~15%) provide some recurring character; no true subscription revenue stream. Corroborated: business_model_type_primary=Rare disease biopharmaceutical; cloud disruption would impact internal operations but not directly interrupt product manufacturing or commercial sales
SG-024
Lock-in
WHO High
SG-026
Make-to-Order
HOW High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Lock-in (SG-024) + Make-to-Order (SG-026) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 4 Medium: 20 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Low-to-moderate leverage; ~$750M convertible notes outstanding; 20% rate rise modestly increases refinancing cost but near-term maturities limited
Inferred
Agent_Inference
interest_rate_sensitivity
Predominantly fixed-rate convertible debt; 20% rate increase raises cost of future capital raises but minimal immediate P&L impact given cash runway
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
1) API/raw material sourcing from China-based CMOs; 2) European gene therapy vector manufacturing concentrated in single-region CDMOs
Inferred
Agent_Inference
international_expansion_readiness
EU (EUR), Japan (JPY), and Brazil (BRL) are key markets; BRL and JPY devaluation risk most material given recent volatility; EU revenue partially hedged
Inferred
Agent_Inference
geographic_footprint
Primary revenues in North America (~70%), EU (~20%), Japan/ROW (~10%); JPY and BRL devaluation pose moderate erosion risk to international net revenues
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; single CDMO relationships for gene therapy vectors (e.g., Ultragenyx relies on specialized manufacturers) likely represent non-substitutable >30% input cost
Inferred
Agent_Inference
business_model_type_primary
Rare disease biopharmaceutical; cloud disruption would impact internal operations but not directly interrupt product manufacturing or commercial sales
Inferred
Agent_Inference
business_model_type_secondary
30-day cloud termination would disrupt clinical data management, regulatory submissions, and CRM but core drug supply chain is pharma-infrastructure-dependent, not cloud-native
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling risk; regulatory systems (Veeva, SAP) create switching friction but no single proprietary API lock-in that is existential
Inferred
Agent_Inference
howey_test_risk_index
Not applicable; revenue model is drug sales and milestone payments, not an investment contract; Howey Test risk is null
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via EU patient data in clinical trials; CCPA exposure limited; compliance frameworks in place but ongoing regulatory scrutiny likely
Inferred
Agent_Inference
antitrust_exposure_flag
Low-to-moderate; rare disease focus means small market share per indication; orphan drug pricing may attract Congressional scrutiny but formal antitrust risk is low
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
Predominantly transactional (~85% product sales); milestone/royalty revenues (~15%) provide some recurring character; no true subscription revenue stream
Inferred
Agent_Inference
monetization_vector
Per-unit drug sales (net product revenue) for approved therapies; milestone payments from partnerships; royalties from out-licensed assets
Inferred
Agent_Inference
pricing_architecture
Orphan drug ultra-high pricing model (~$100K–$3M/year per patient); pricing power constrained by payer pushback and government negotiations in EU/Japan
Inferred
Agent_Inference
pricing_power_rating
Moderate-high domestically due to orphan designation and lack of competition; significantly weaker internationally due to HTA/reimbursement negotiations
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins ~60–70% on marketed products; gene therapy programs carry higher COGS diluting blended margins toward 55–65% near-term
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; rare disease patients require prescriptions and payer authorization; adherence-driven revenue is stable but patient population is finite
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth potential long-term; commercial infrastructure is largely built; incremental product launches require modest headcount additions relative to revenue uplift
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of adding new approved products leverages existing commercial infrastructure; R&D spend remains high and largely fixed per pipeline program
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Ultragenyx is not a franchise business model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, patient identification and physician outreach costs decline per patient; payer contracting complexity increases; CAC likely improves but reimbursement friction scales
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; rare disease drug demand is patient-need-driven, not user-network-driven; durability of revenue tied to clinical differentiation
Inferred
Agent_Inference
asset_efficiency_ratio
-37.3% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
High recession resistance; rare disease therapies treating life-threatening conditions are non-discretionary; demand is inelastic to economic cycles
Inferred
Agent_Inference
customer_segment_primary
Patients with rare metabolic and genetic diseases (ultra-orphan populations); prescribing physicians are metabolic specialists and pediatric neurologists
Inferred
Agent_Inference
customer_segment_secondary
Hospital systems, specialty pharmacies, and government/private payers; no single payer represents disclosed >30% concentration but Medicaid/Medicare collectively dominate
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
0.9% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001515673
High
SEC-EDGAR
ticker
RARE
High
SEC-EDGAR

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-24no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.