debt_leverage_profile
Early-stage aerospace startup; likely minimal formal debt, relying on equity/grants; a 20% rate rise modestly increases cost of any variable-rate facility
Inferred
Agent_Inference
interest_rate_sensitivity
Low near-term sensitivity; primary funding via equity rounds and USAF/DoD contracts, not floating-rate debt instruments
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
1) Rare-earth materials sourced via China-controlled channels; 2) Ukrainian/Russian titanium supply disruption for airframe components
Inferred
Agent_Inference
international_expansion_readiness
Primarily USD-denominated DoD/USAF contracts; international revenue minimal, limiting sovereign currency devaluation exposure materially
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Florida (Tyndall AFB adjacency); negligible non-USD revenue; currency devaluation risk effectively near-zero currently
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Single-engine supplier (GE/Pratt legacy F-104 sourcing) and specialized avionics vendors likely exceed 30% input cost; high substitution difficulty
Inferred
Agent_Inference
business_model_type_primary
Services/training model; cloud dependency is operational, not product-critical; 30-day termination causes disruption but not existential mission failure
Inferred
Agent_Inference
business_model_type_secondary
B2G (business-to-government) contracted services; secondary model is asset-based leasing of supersonic aircraft to military customers
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling risk; relies on DoD scheduling/mission systems; proprietary avionics integration creates moderate-to-high switching friction
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from contracted flight services/training, not passive investment returns; no token or profit-sharing structure identified
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Handles ITAR-controlled defense data; GDPR/CCPA exposure is low given DoD-centric client base, but ITAR non-compliance risk is materially higher
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; niche supersonic adversarial air services market is small; no dominant market position warranting regulatory scrutiny currently
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Predominantly contract-based (multi-year DoD/USAF agreements); estimated 70%+ recurring contractual revenue, remainder transactional mission taskings
Inferred
Agent_Inference
monetization_vector
Flight-hour billing and contracted aggressor/training sortie packages to U.S. and allied military forces; per-sortie and retainer hybrid
Inferred
Agent_Inference
pricing_architecture
Cost-plus and fixed-price government contract pricing; limited pricing flexibility under FAR/DFARS; stress scenario shows margin compression if fuel/maintenance spikes
Inferred
Agent_Inference
pricing_power_rating
Moderate; sole-source positioning in supersonic adversarial training grants some power, but government contracting rules cap margin expansion significantly
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated 30–45% gross margin; aircraft operating costs (fuel, maintenance, crew) are substantial; government contract margins typically constrained below 50%
Inferred
Agent_Inference
churn_vulnerability_index
Minimal free-rider risk; access to supersonic aircraft requires contracted payment; no freemium or open-access tier exists in this B2G model
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear; each additional sortie requires qualified pilots, maintainers, and ground crew—scaling is personnel and asset intensive
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear only at fleet economies of scale; doubling revenue requires ~70-80% headcount increase plus capital aircraft acquisition; not a software-like model
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Starfighters does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC likely manageable via existing DoD relationships, but fleet acquisition costs ($10M+ per aircraft) become binding constraint on unit economics
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; service value does not increase with additional customers; purely supply-constrained asset-service business
Inferred
Agent_Inference
asset_efficiency_ratio
-58.3% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
High recession resistance; DoD training budgets are legislatively mandated and relatively countercyclical; military readiness spending rarely cut in downturns
Inferred
Agent_Inference
customer_segment_primary
U.S. Department of Defense / Air Force (USAF, USSF); likely represents 60%+ of revenue; high concentration risk if contract not renewed
Inferred
Agent_Inference
customer_segment_secondary
Allied foreign military forces and NASA; secondary segment provides diversification but remains small relative to primary DoD dependency
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "23-0000 Legal Occupations", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital being actively deployed into future-state fleet (F-104 refurbishment, potential next-gen supersonic acquisition); legacy-to-future reallocation underway
Inferred
Agent_Inference
sec_cik
0001947016
High
SEC-EDGAR
ticker
FJET
High
SEC-EDGAR