debt_leverage_profile
Low absolute debt; Yatra carries minimal long-term debt, so a 20% rate rise has negligible interest expense impact on operations
Inferred
Agent_Inference
interest_rate_sensitivity
Low sensitivity; near-zero debt load means interest expense immaterial; working capital costs marginally affected by rate moves
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
Not applicable; pure online travel agency with no physical supply chain; geopolitical risk lies in India-Pakistan tension disrupting air corridors
Inferred
Agent_Inference
international_expansion_readiness
Predominantly India-revenue business; USD/INR devaluation risk significant; minimal exposure to third sovereign currencies
Inferred
Agent_Inference
geographic_footprint
~95% India-focused; INR depreciation vs USD directly compresses USD-reported revenues; negligible exposure to other sovereign currencies
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
High dependency on GDS providers (Amadeus, Sabre, Galileo); single GDS likely exceeds 30% of ticket inventory access; non-trivially substitutable
Inferred
Agent_Inference
business_model_type_primary
OTA marketplace/transactional intermediary connecting travelers with airlines, hotels, and holiday packages primarily in India
Inferred
Agent_Inference
business_model_type_secondary
B2B corporate travel management platform serving Indian enterprises with managed travel programs and expense tools
Inferred
Agent_Inference
switching_cost_profile
High GDS API coupling risk; migrating from Amadeus/Sabre requires 12-24 months re-certification; real-time fare feeds are mission-critical
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from travel commissions and service fees is straightforward commerce, not an investment contract
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate; India's DPDP Act 2023 applies; CCPA exposure minimal given negligible US customer base; GDPR low given India focus
Inferred
Agent_Inference
antitrust_exposure_flag
Low-moderate; competes with MakeMyTrip/Goibibo dominant duopoly; Yatra is challenger with ~5-8% market share, unlikely antitrust target
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
~90%+ transactional (booking commissions, service fees); recurring corporate travel contracts represent estimated 10-15% of revenue
Inferred
Agent_Inference
monetization_vector
Per-transaction commission on air, hotel, holiday bookings plus corporate SaaS/managed travel fees and ancillary upsells
Inferred
Agent_Inference
pricing_architecture
Commission-based pricing vulnerable to airline commission compression; hotel margins healthier; corporate fees provide partial buffer
Inferred
Agent_Inference
pricing_power_rating
Low; OTA market is intensely price-competitive; consumers easily cross-shop; airlines periodically pressure or eliminate agent commissions
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated 55-65% gross margin on net revenue basis; significantly lower on gross booking value basis (~8-12% take rate)
Inferred
Agent_Inference
churn_vulnerability_index
Moderate free-rider risk; users research on Yatra then book directly with airline; loyalty to platform is weak without strong price differentiation
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth possible via tech leverage; customer service remains headcount-sensitive; doubling revenue likely requires ~30-40% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of incremental bookings is low (GDS API calls, payment fees); customer acquisition cost is the primary growth constraint
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Yatra does not operate a franchise network
Inferred
Agent_Inference
customer_acquisition_metric
CAC likely INR 300-600 per new booker; at 10x scale, performance marketing costs would inflate CAC significantly without brand strength
Inferred
Agent_Inference
network_effect_present
Weak network effects; more suppliers improve selection but demand-supply flywheel is fragile; MakeMyTrip dominance limits Yatra's reinforcing loop
Inferred
Agent_Inference
asset_efficiency_ratio
AI risk moderate; AI travel planning agents (Google, ChatGPT plugins) could disintermediate OTAs; Yatra lacks proprietary AI moat
Inferred
Agent_Inference
recession_resistance_tier
Cyclical/low resilience; travel is discretionary; corporate travel budgets are first cut in downturns; revenue declined ~90% during COVID
Inferred
Agent_Inference
customer_segment_primary
Indian leisure travelers (retail consumers) booking flights, hotels, and holiday packages online
Inferred
Agent_Inference
customer_segment_secondary
Indian corporate enterprises using managed travel management services; estimated 800+ corporate accounts
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
Asset-light; capex minimal (~2-4% of revenue); investment directed toward platform technology and mobile app, not legacy infrastructure
Inferred
Agent_Inference
sec_cik
0001516899
High
SEC-EDGAR
ticker
YTRA
High
SEC-EDGAR