Vista Energy, S.A.B. de C.V.
993b3f38562244f294cd4887538214a5
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T12:39:10.478719+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-035 Premium WHO Medium
Indirect: target_gross_margin_bracket=Gross margin ~55–65%; lifting cost ~$8–10/bbl vs. $55–65/bbl realized price; strong margin but highly sensitive to oil price and Argentine fiscal take (High gross margin bracket (>60%) indicates premium positioni)
SG-035
Premium
WHO Medium
SG-002
Affiliation
VALUE Medium
SG-004
Auction
HOW Medium

Hybrid Combination

Premium (SG-035) WHO provides the core structure, combined with Premium (SG-035) + Affiliation (SG-002) + Auction (SG-004) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 0 Medium: 7 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt/EBITDA ~1.5x as of 2024; 20% rate rise adds ~$15–20M annual interest expense given ~$800M gross debt, manageable given $600M+ EBITDA
Inferred
Agent_Inference
interest_rate_sensitivity
~70% of debt is fixed-rate bonds; 20% rate increase on floating portion adds roughly $8–12M incremental annual interest cost, limited near-term P&L impact
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
Vaca Muerta shale access via Argentine road/pipeline infrastructure; Strait of Magellan/Chilean Pacific export route for potential LNG diversification
Inferred
Agent_Inference
international_expansion_readiness
Revenue almost entirely USD-denominated in Argentina; Argentine peso devaluation risk is primary exposure—official vs. parallel rate spreads create ~30–40% effective revenue haircut risk
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Argentina (Vaca Muerta, Neuquén basin); minor Mexico presence; sovereign peso devaluation and capital controls are dominant geographic risk
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
No single vendor exceeds 30% of input costs; oilfield services spread across Schlumberger, Halliburton, and local contractors, but fracking service availability in Argentina is regionally constrained
Inferred
Agent_Inference
business_model_type_primary
Upstream oil and gas E&P; cloud infrastructure irrelevant to core operations—field SCADA and ERP systems are on-premise or private cloud, 30-day termination notice is non-disruptive
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital/data analytics tools may use cloud; operational disruption from cloud termination would be minor, resolvable within 60–90 days via migration
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; core operations rely on proprietary reservoir data and oilfield services contracts, not third-party software APIs
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; Vista sells physical hydrocarbons under commodity contracts—revenue model is asset-based commodity sales, not investment contracts
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; customer base is B2B commodity buyers and institutional counterparties, not retail consumers with personal data obligations
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; Vista holds ~10–12% of Vaca Muerta production share; Argentine hydrocarbon market is fragmented with YPF, Shell, Pan American Energy as larger peers
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
~100% transactional commodity sales (crude oil, gas); no subscription or multi-year fixed-volume contracts with price lock-in; revenue highly correlated to Brent price
Inferred
Agent_Inference
monetization_vector
Spot and short-term crude oil sales to Argentine refiners (YPF primary offtaker) and export markets; gas monetized via local distribution contracts
Inferred
Agent_Inference
pricing_architecture
Price-taker model indexed to Brent crude; Argentine domestic crude trades at Medanito marker ~$5–8 discount to Brent; gas prices partially regulated by Argentine government
Inferred
Agent_Inference
pricing_power_rating
Low standalone pricing power as commodity producer; partial insulation via export parity pricing and USD-denominated contracts negotiated with government
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55–65%; lifting cost ~$8–10/bbl vs. $55–65/bbl realized price; strong margin but highly sensitive to oil price and Argentine fiscal take
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; hydrocarbon commodity business with direct offtake agreements; YPF concentration (~40–50% of domestic sales) creates customer concentration risk instead
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; production growth driven by drilling capital deployment, not proportional labor—doubling output requires ~20–30% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (drilling/completion ~$8–10M per well) but operationally scalable; incremental F&D cost ~$5–7/boe in Vaca Muerta
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Vista is not a franchise business
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale (~500 kboe/d), export infrastructure bottlenecks and Argentine refinery capacity become binding constraints; customer acquisition cost effectively zero (commodity market)
Inferred
Agent_Inference
network_effect_present
No network effects; oil and gas E&P is a resource-extraction model with no user-base compounding dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low for core drilling/extraction; AI could optimize reservoir modeling and reduce exploration G&A by 10–15%, not existential
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession resilience; oil demand relatively inelastic short-term but price drops sharply in recessions—Vista's breakeven ~$35–40/bbl provides buffer in mild downturns
Inferred
Agent_Inference
customer_segment_primary
Argentine domestic refiners and industrial gas buyers; YPF is estimated ~40–50% of domestic crude offtake
Inferred
Agent_Inference
customer_segment_secondary
International crude export buyers (traders, refiners in Chile, Brazil, Asia); export volumes growing as pipeline and port infrastructure expands
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
Capital actively reallocated toward Vaca Muerta unconventional development (future-state); legacy conventional fields in maintenance mode—CapEx ~$700–800M/yr, ~80% growth-oriented
Inferred
Agent_Inference
sec_cik
0001762506
High
SEC-EDGAR
ticker
VIST
High
SEC-EDGAR

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-20no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.