debt_leverage_profile
0.06x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Low direct sensitivity; no significant debt load, but rising rates increase burn rate pressure on cash reserves funding R&D 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
Single-source API manufacturers in China for menin inhibitor synthesis; U.S.-China trade tensions and FDA import controls are top chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Minimal international revenue currently; clinical trials primarily U.S.-based, so sovereign currency devaluation exposure is negligible
Inferred
Agent_Inference
geographic_footprint
Predominantly U.S.-based operations; no material international revenue markets, making currency devaluation exposure effectively zero
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
CROs like Covance/Labcorp represent non-substitutable clinical trial execution partners; switching mid-trial would cause 12-18 month delays and regulatory risk
Inferred
Agent_Inference
business_model_type_primary
Cloud disruption risk is low; core IP resides in molecular compounds and clinical data, not software infrastructure dependent on single cloud provider
Inferred
Agent_Inference
business_model_type_secondary
Pre-commercial biopharma; no secondary cloud-dependent business model exists; operations could migrate within 60-90 days with manageable disruption
Inferred
Agent_Inference
switching_cost_profile
API coupling risk is minimal; company uses standard clinical trial software (Medidata/Veeva); switching costs are moderate at ~$2-5M and 6-month delay
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; equity shares in a development-stage biopharma represent ownership in enterprise, not a passive profit-sharing investment contract
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure from EU clinical trial patient data; CCPA exposure limited; compliance costs estimated $1-3M annually for trial data management
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; single-asset oncology company with no market dominance; menin inhibitor space has multiple competitors including Syndax and Syndax
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
Currently 0% recurring revenue; 100% transactional via potential milestone payments and future drug sales; pre-commercial stage with no product on market
Inferred
Agent_Inference
monetization_vector
Future monetization via drug sales (tipifarnib, ziftomenib) and potential licensing/partnership milestones; partnered with Jazz Pharmaceuticals for commercialization
Inferred
Agent_Inference
pricing_architecture
Oncology drug pricing estimated $150,000-$300,000/year per patient based on comparable AML therapies; pricing power dependent on FDA approval and label breadth
Inferred
Agent_Inference
pricing_power_rating
Moderate-high pricing power if approved; rare hematologic oncology indication with limited competition supports premium pricing with payer negotiation risk
Inferred
Agent_Inference
target_gross_margin_bracket
Expected 75-85% gross margin post-commercialization, consistent with specialty oncology drug peers; COGS dominated by manufacturing and royalties
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; prescription oncology drugs require physician authorization and payer approval, creating inherent access controls with no free-rider leakage
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; commercial launch requires sales force build (~150-200 reps) but manufacturing scales independently of headcount
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is primarily manufacturing scale-up and clinical expansion; incremental revenue from new indications has high operating leverage post-approval
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Kura Oncology is not a franchise business model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, customer acquisition cost (oncologist outreach) decreases via brand recognition; estimated CAC per prescribing physician ~$15,000-$25,000
Inferred
Agent_Inference
network_effect_present
No traditional network effects; clinical data breadth creates modest knowledge moat but prescriber adoption is linear, not exponential network-driven
Inferred
Agent_Inference
asset_efficiency_ratio
-37.7% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
High recession resistance; oncology treatment is non-discretionary; AML patients continue therapy regardless of economic cycle; payer mix risk is primary concern
Inferred
Agent_Inference
customer_segment_primary
Oncologists and hematologists treating AML/MDS patients; top 200 academic medical centers represent ~60-70% of addressable patient volume
Inferred
Agent_Inference
customer_segment_secondary
Specialty pharmacy distributors and hospital formulary committees as secondary gatekeepers; GPO contracts and payer coverage decisions drive secondary segment risk
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
9.8% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001422143
High
SEC-EDGAR
ticker
KURA
High
SEC-EDGAR