debt_leverage_profile
Net debt ~$7.5B USD; Net Debt/EBITDA ~2.5x; 20% rate rise adds ~$150M annual interest burden on floating-rate tranches
Inferred
Agent_Inference
interest_rate_sensitivity
~40% of debt is floating-rate; 20% rate increase raises annual interest expense by ~$150-180M, compressing net income ~15-20%
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Strait of Hormuz for imported light crude blending; Paso Los Libertadores border crossing for equipment/materials from Chile
Inferred
Agent_Inference
international_expansion_readiness
Minimal international revenue; virtually all revenue is Argentina-peso-denominated, making sovereign devaluation the primary domestic risk, not international
Inferred
Agent_Inference
geographic_footprint
95%+ revenue generated in Argentina; exposed to ARS devaluation, which has historically eroded USD-equivalent revenues by 50%+ in devaluation cycles
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Crude Oil, Natural Gas, Coal, Refined Petroleum Products, Uranium, Steel (equipment); geopolitical: OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Schlumberger/SLB and Halliburton collectively supply critical oilfield services; no single vendor exceeds 30% but substitution takes 6-12 months in Vaca Muerta
Inferred
Agent_Inference
business_model_type_primary
Vertically integrated national oil company; cloud dependency is minimal — operational tech runs on private/industrial infrastructure, not hyperscaler clouds
Inferred
Agent_Inference
business_model_type_secondary
ERP and corporate IT may use cloud; 30-day termination would disrupt back-office but not upstream/downstream operations; low existential risk
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; core operations use proprietary SCADA/industrial systems; no significant third-party API dependency in production operations
Inferred
Agent_Inference
howey_test_risk_index
Primary revenue from commodity extraction and refining; fails Howey Test — no common enterprise investment contract; securities classification risk is negligible
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Operates primarily in Argentina under local data law 25.326; minimal GDPR/CCPA exposure as consumer-facing operations are domestic; low compliance risk
Inferred
Agent_Inference
antitrust_exposure_flag
Dominant market position in Argentine upstream, refining, and fuel retail (~55% market share); subject to Argentine antitrust scrutiny but state ownership provides political shield
Inferred
Agent_Inference
regulatory_exposure_profile
High burden; regimes: EPA, FERC, DOE, CFTC, OSHA, SEC; Accelerating emissions mandates and methane rules threaten capex economics.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~80% transactional (spot commodity sales, refined fuel retail); ~20% quasi-recurring via long-term gas supply contracts with utilities and industrial customers
Inferred
Agent_Inference
monetization_vector
Primary vectors: crude oil/NGL sales, refined fuel retail (YPF stations), natural gas sales, petrochemicals; fuel retail is largest single contributor
Inferred
Agent_Inference
pricing_architecture
Retail fuel prices regulated/influenced by Argentine government; upstream prices partially dollarized; government interference limits full pass-through of cost increases
Inferred
Agent_Inference
pricing_power_rating
Moderate-low; government caps retail fuel prices during inflation spikes, preventing full cost recovery; upstream crude benchmarked to Brent with local discount
Inferred
Agent_Inference
target_gross_margin_bracket
Consolidated gross margin ~25-35%; upstream segment highest (~45%); downstream/refining compressed to ~10-15% due to price controls
Inferred
Agent_Inference
churn_vulnerability_index
No significant free-rider problem; fuel retail is transactional with high repeat purchase frequency; industrial gas contracts have take-or-pay provisions reducing churn
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; Vaca Muerta production scale-up requires drilling crews but automation and pad drilling improve efficiency; ~15,000 employees
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (wells ~$8-12M each) but not headcount-linear; doubling production requires ~2x capex, not 2x employees
Inferred
Agent_Inference
franchise_compliance_risk
YPF-branded service station network (~1,600 stations) includes franchised operators; compliance drift risk moderate — fuel quality and branding standards enforced but pricing disputes common
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, institutional gas/LNG offtake customers dominate; CAC near zero for retail (brand incumbency); wholesale margins compress as buyer concentration increases
Inferred
Agent_Inference
network_effect_present
Weak network effects; fuel retail benefits from location density (convenience) but no data/platform network effects; incumbent advantage is infrastructure, not network
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low in core E&P operations short-term; predictive drilling analytics could reduce dry-hole rate; refinery optimization AI offers 3-5% efficiency gains
Inferred
Agent_Inference
recession_resistance_tier
Moderate resilience; fuel demand inelastic for transport, but Argentine recession reduces industrial gas demand and compresses government-controlled retail margins
Inferred
Agent_Inference
customer_segment_primary
Argentine retail consumers and transport sector (fuel); represents ~40% of downstream revenue with high fragmentation — no single customer >5%
Inferred
Agent_Inference
customer_segment_secondary
Industrial and power generation customers for natural gas; top 10 gas customers (utilities, Pampa Energía, etc.) represent ~30% of gas revenue — moderate concentration
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", "19-0000 Life, Physical, and Social Science Occupations", "23-0000 Legal 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", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.33 (HIL — ~33% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capex ~$3-4B/year; ~70% directed to Vaca Muerta unconventional development (future-state); ~30% maintenance of legacy conventional fields and refinery upgrades — growth-oriented allocation
Inferred
Agent_Inference
sec_cik
0000904851
High
SEC-EDGAR
ticker
YPF
High
SEC-EDGAR