CUMBERLAND PHARMACEUTICALS INC
158fa070dd414eb2a9a253079a80c0dc
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-23T11:30:08.258037+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); some recurring royalty/milestone revenue (~15%) from licensing agreements. Corroborated: business_model_type_primary=Minimal cloud disruption risk; Cumberland is a specialty pharma company, not SaaS-dependent — core ops use ERP/CRM on-premise or low-criticality cloud tools
SG-023
Licensing
VALUE High
SG-006
Cash Machine
VALUE High
SG-010
Digitization
WHAT High
SG-024
Lock-in
WHO High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Licensing (SG-023) + Cash Machine (SG-006) + Digitization (SG-010) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 6 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
0.00x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Low sensitivity; Cumberland carries minimal long-term debt (~$5M credit facility), so a 200bps rate rise adds <$100K annual interest expense
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
Indian API manufacturers (generic drug intermediates) and Chinese raw chemical precursors represent top-two geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Minimal exposure; Cumberland derives ~95% of revenue domestically, with negligible sovereign currency devaluation risk in international markets
Inferred
Agent_Inference
geographic_footprint
Predominantly US-focused (~95% domestic revenue); negligible FX devaluation risk from international markets, no material top-three foreign revenue geographies
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 lock-in risk; single-source API suppliers for niche hospital products (e.g., Acetadote) likely exceed 30% input cost and lack easy substitutes
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud disruption risk; Cumberland is a specialty pharma company, not SaaS-dependent — core ops use ERP/CRM on-premise or low-criticality cloud tools
Inferred
Agent_Inference
business_model_type_secondary
Specialty pharmaceutical manufacturer and marketer; secondary model is licensing/royalty revenue from out-licensed compounds
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Cumberland does not sell APIs or software integrations — distribution relies on standard pharmaceutical wholesale EDI channels
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from pharmaceutical product sales and royalties does not constitute an investment contract — near-zero securities law reclassification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure given minimal EU operations; moderate CCPA risk from patient support program data collection, but not a core revenue-model dependency
Inferred
Agent_Inference
antitrust_exposure_flag
Low-moderate; niche hospital drug portfolio with small market share, though branded pricing on off-patent drugs (e.g., Kristalose) could attract 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
Predominantly transactional (~85% product sales); some recurring royalty/milestone revenue (~15%) from licensing agreements
Inferred
Agent_Inference
monetization_vector
Direct pharmaceutical product sales through wholesale distributors (McKesson, Cardinal, AmerisourceBergen) plus royalty streams from out-licensed assets
Inferred
Agent_Inference
pricing_architecture
WAC-based branded drug pricing with GPO/PBM contract discounts; pricing power constrained by generic competition and hospital formulary committee pressure
Inferred
Agent_Inference
pricing_power_rating
Weak-to-moderate; niche hospital products have some formulary stickiness, but generic threats and payer pushback limit sustained price increases above CPI
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins approximately 60–70%; specialty pharma norm, but Cumberland's small scale limits manufacturing leverage versus large-cap peers
Inferred
Agent_Inference
churn_vulnerability_index
No meaningful free-rider problem; pharmaceutical products are purchased and consumed — no digital/open-source equivalent creating leakage
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth possible; small specialty sales force (~50 reps) already covers target hospitals — revenue can grow via new product additions without proportional headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Low marginal cost for existing products via distribution leverage; new product launches require incremental sales force and promotional spend, making growth semi-linear
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Cumberland operates no franchise network — direct sales and distribution model only
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, hospital formulary access and GPO contract wins become bottlenecks; CAC likely rises as addressable hospital targets are exhausted in niche indications
Inferred
Agent_Inference
network_effect_present
No network effects present; pharmaceutical product utility is independent of user base size — adoption driven by clinical evidence and formulary access
Inferred
Agent_Inference
asset_efficiency_ratio
-8.4% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession-resistant; hospital-administered drugs (IV acetaminophen, Acetadote) address acute medical needs with inelastic demand regardless of economic cycle
Inferred
Agent_Inference
customer_segment_primary
Hospital systems and acute-care institutions (~70% of revenue); top wholesalers McKesson/Cardinal/AmerisourceBergen create concentration risk at distribution layer
Inferred
Agent_Inference
customer_segment_secondary
Retail pharmacy and outpatient patients for GI products (Kristalose, Vaprisol); secondary segment more susceptible to generic substitution and payer formulary exclusion
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
0.2% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001087294
High
SEC-EDGAR
ticker
CPIX
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_03PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-23no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.