debt_leverage_profile
Near-zero debt; cash-funded clinical-stage biotech with ~AUD 50M cash runway; 20% rate rise has negligible P&L impact
Inferred
Agent_Inference
interest_rate_sensitivity
Minimal direct sensitivity; no material floating-rate debt; higher rates increase opportunity cost of cash holdings and raise future equity dilution cost
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) European GMP biologics manufacturers (efti supply); 2) US/EU clinical-site reagent and CRO concentration risk
Inferred
Agent_Inference
international_expansion_readiness
Pre-revenue clinical stage; no meaningful international revenue streams; currency devaluation exposure limited to AUD/USD/EUR operating cost translation
Inferred
Agent_Inference
geographic_footprint
Operations span Australia, US, EU; AUD functional currency; EUR and USD cash holdings create modest FX translation exposure on grants and trial costs
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
Single-source biologics CMO for eftilagimod alpha (efti) represents non-substitutable critical input; switching would require 12-24 month revalidation
Inferred
Agent_Inference
business_model_type_primary
Clinical-stage pharma; no cloud-infrastructure revenue model; AWS/GCP termination would disrupt data management but not core IP or trial operations
Inferred
Agent_Inference
business_model_type_secondary
Secondary operational disruption: electronic data capture and trial management platforms (e.g., Medidata) are greater operational dependencies than cloud hyperscalers
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; uses standard CRO/EDC platforms; core value resides in proprietary LAG-3 biological IP, not software integrations
Inferred
Agent_Inference
howey_test_risk_index
Not applicable; revenue model is pharma licensing/milestone-based; no token, investment contract, or profit-sharing scheme involved
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via EU clinical trial patient data; CCPA limited; compliance managed through CRO agreements and standard ICH-GCP data protocols
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; small-cap clinical-stage company with no market dominance; partnership agreements with large pharma (GSK, Merck) are standard co-development deals
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
~100% transactional/milestone-based; occasional research grants; no recurring subscription revenue; entirely dependent on partnership milestones and future royalties
Inferred
Agent_Inference
monetization_vector
Pharma licensing, milestone payments, and future royalties from LAG-3 immunotherapy programs; near-term revenue from collaboration agreements
Inferred
Agent_Inference
pricing_architecture
Milestone and royalty pricing set by negotiation with big-pharma partners; no direct product pricing power until commercialization; vulnerable to partner renegotiation
Inferred
Agent_Inference
pricing_power_rating
Low current pricing power as pre-commercial licensor; potential high power post-approval if efti demonstrates differentiated OS benefit in breast cancer/NSCLC
Inferred
Agent_Inference
target_gross_margin_bracket
Target gross margin 80-90%+ post-commercialization (biotech royalty/licensing norm); currently negative as R&D spend dominates
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage applicable; clinical partnerships are contractually bound; risk is partner termination of co-development agreements (e.g., Merck KEYNOTE-884 halt)
Inferred
Agent_Inference
headcount_cost_structure
Headcount-sublinear growth model; ~30-40 FTE core team outsources trials to CROs; doubling pipeline does not require doubling headcount
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is clinical trial spend (CRO/site costs), not headcount; largely variable and outsourced, preserving fixed-cost leverage
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; no franchise network
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale (multiple approved indications), CAC model shifts to pharma sales force partnerships; unit economics depend on royalty rates (typically 10-20% net sales)
Inferred
Agent_Inference
network_effect_present
No traditional network effect; scientific data network effect exists as each trial strengthens LAG-3 platform evidence, attracting further partnership interest
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core immunotherapy R&D; AI may accelerate trial design and biomarker analysis but cannot replace GMP manufacturing or clinical execution
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession resistance; clinical funding depends on equity markets and partner budgets; oncology drugs maintain priority but discretionary trial expansions may be deferred
Inferred
Agent_Inference
customer_segment_primary
Large pharmaceutical and biotech companies (GSK, Merck KGaA) as licensing/co-development partners
Inferred
Agent_Inference
customer_segment_secondary
Government and non-profit research grant bodies (NHMRC, EU Horizon) providing non-dilutive funding
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
Capital allocated almost entirely to future-state R&D (clinical trials, IP); no legacy infrastructure drag; ~85-90% of spend is clinical and regulatory pipeline investment
Inferred
Agent_Inference
sec_cik
0001506184
High
SEC-EDGAR
ticker
IMMP
High
SEC-EDGAR