debt_leverage_profile
0.11x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
~$15M annual interest cost increase per 100bps rise; ~$1.5B variable-rate debt exposure makes refinancing risk material at current leverage ~4x EBITDA
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) Toulouse/Seattle Boeing/Airbus production choke; 2) CFM/GE engine MRO concentration amid global aerospace parts shortage
Inferred
Agent_Inference
international_expansion_readiness
Minimal sovereign currency risk; ~95% of revenue is USD-denominated domestic US leisure travel; negligible international market exposure
Inferred
Agent_Inference
geographic_footprint
Effectively zero currency devaluation exposure; operates almost exclusively within US domestic markets; no meaningful foreign-currency revenue streams
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
Boeing 737MAX/757 single-fleet type creates near-total airframe vendor lock; Airbus transition underway but Boeing still >90% of operational aircraft
Inferred
Agent_Inference
business_model_type_primary
Cloud termination would disrupt reservations and loyalty systems but core ops (aircraft, crew, airports) continue; recovery feasible within 60-90 days via alternative providers
Inferred
Agent_Inference
business_model_type_secondary
Secondary hospitality/hotel bundling revenue (~Sunseeker Resort) has minimal cloud dependency; physical resort operations largely unaffected by cloud provider termination
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling via Navitaire/New Skies reservation system; switching costs high (~$50M+ migration) but not impossible; GDS bypass reduces third-party API dependency
Inferred
Agent_Inference
howey_test_risk_index
Near-zero Howey risk; revenue model is direct airline ticket sales and ancillary fees — purely transactional, no investment contract elements
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure given negligible EU operations; CCPA exposure moderate given California passenger volume; PCI-DSS compliance for payment data is primary regulatory focus
Inferred
Agent_Inference
antitrust_exposure_flag
Low traditional antitrust risk; operates in underserved small/medium markets with limited overlap with majors; no dominant market share in any single route corridor
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
~95% transactional (ticket sales, ancillary fees); ~5% quasi-recurring (Allways loyalty co-brand credit card revenue share, Sunseeker hotel bookings)
Inferred
Agent_Inference
monetization_vector
Primary: airline ticket + ancillary unbundling (bags, seats, priority boarding); Secondary: hotel/resort stays and vacation packages bundled with flights
Inferred
Agent_Inference
pricing_architecture
Ultra-low base fare with aggressive ancillary unbundling; stress scenario shows 20% yield compression would erode EBITDA margins by ~8-10 ppts given ~70% fixed cost base
Inferred
Agent_Inference
pricing_power_rating
3/10; leisure price-sensitive customers with low switching cost to Spirit/Frontier/Southwest; fuel surcharge pass-through limited by low-fare brand promise
Inferred
Agent_Inference
target_gross_margin_bracket
Airline segment gross margin ~20-25%; consolidated margin compressed by Sunseeker resort drag (~negative EBITDA initially); long-term target ~25-30%
Inferred
Agent_Inference
churn_vulnerability_index
High transactional churn; no meaningful free-rider problem but repeat purchase rate (~40% of passengers fly once/year) indicates loyalty fragility vs. major carriers
Inferred
Agent_Inference
headcount_cost_structure
Sublinear but not highly scalable; pilot/crew headcount grows ~linearly with ASMs; overhead and tech are sublinear; doubling revenue requires ~70-80% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is high due to aircraft capital, crew training, and airport agreements; each new route requires ~$15-20M in incremental fixed cost before profitability
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Allegiant operates as a direct carrier with no franchise network
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would rise sharply as underserved market pool depletes; current low-cost direct marketing model breaks above ~80M passengers annually
Inferred
Agent_Inference
network_effect_present
Weak network effects; route utility is point-to-point with no hub connectivity benefit; loyalty program has limited aspirational value vs. major carrier programs
Inferred
Agent_Inference
asset_efficiency_ratio
-1.3% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 4 (recession vulnerable); leisure-only traveler base with high price sensitivity; historical revenue dropped ~45% in COVID; discretionary travel cuts hit disproportionately
Inferred
Agent_Inference
customer_segment_primary
Leisure travelers in small/medium US cities (population 50K-500K) without major carrier service; household income $40K-$75K; vacation-motivated, highly price-sensitive
Inferred
Agent_Inference
customer_segment_secondary
Sun-destination vacationers (Las Vegas, Florida, Phoenix) from Midwest/Southeast; supplemented by Sunseeker resort guests seeking integrated travel-accommodation packages
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
13.5% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001362468
High
SEC-EDGAR
ticker
ALGT
High
SEC-EDGAR