BATTALION OIL CORP
ce94df235cf54a89a195aea877989d90
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T12:34:54.565568+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-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=High dependency on 2-3 major oilfield services vendors (Halliburton, SLB) for completions; substitutable but switching causes meaningful operational delay and cost
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 18 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
-7.03x Total Debt / Equity (Negative equity)
High
SEC-XBRL
interest_rate_sensitivity
High sensitivity; Battalion carries significant floating-rate debt typical of E&P firms, a 200bps rate rise could increase annual interest expense by ~15-20% of EBITDA
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
Permian Basin oilfield services concentration and Gulf Coast pipeline/export terminal infrastructure are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Purely domestic US operator (Permian Basin, Texas); no material international revenue, thus sovereign currency devaluation risk is negligible
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
High dependency on 2-3 major oilfield services vendors (Halliburton, SLB) for completions; substitutable but switching causes meaningful operational delay and cost
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination would have minimal operational impact; Battalion is an upstream E&P company relying on field SCADA and ERP, not cloud-native operations
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital exposure limited to reservoir modeling software and accounting platforms; 30-day cloud termination manageable with on-premise fallback
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Battalion uses standard industry software (Aucerna, WellView) with no proprietary API dependencies driving core revenue generation
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from crude oil and natural gas commodity sales is clearly not a security; no token, royalty trust structure, or passive investor profit-sharing mechanism
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; no consumer data collected, operations are US-domestic B2B commodity sales with counterparties subject to standard commercial contracts
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; Battalion is a price-taking mid-size E&P with sub-1% Permian Basin market share, no pricing power or market foreclosure capability
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
~0% recurring subscription revenue; ~100% transactional commodity sales (crude oil, natural gas, NGLs) priced at spot or short-term hedged market rates
Inferred
Agent_Inference
monetization_vector
Commodity volume monetization: revenue equals production volumes multiplied by realized hydrocarbon prices, with partial hedge overlay covering 40-60% of near-term production
Inferred
Agent_Inference
pricing_architecture
Price-taker architecture; realized prices driven by WTI/Henry Hub benchmarks minus differential; no proprietary pricing power, stress scenario at $50 WTI pressures cash flow break-even
Inferred
Agent_Inference
pricing_power_rating
1/10 pricing power; pure commodity producer with zero ability to set price above market benchmark rates
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin typically 40-60% at $70-80 WTI; heavily compressed below $55 WTI where LOE and gathering costs consume margin
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; commodity buyers have no ability to consume product without payment; churn risk is counterparty credit risk on offtake contracts, currently low
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-sublinear; production increases via capital deployment (wells drilled), not proportional staff additions; G&A leverage improves at scale
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (drill/complete well costs $6-9M per well) but operationally scalable without linear headcount increase beyond field technicians
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, unit economics improve via fixed G&A leverage but capital efficiency depends on remaining Permian inventory quality; breakeven wells decline in later development
Inferred
Agent_Inference
network_effect_present
No network effects present; oil and gas commodity production is non-networked, value does not increase with additional producers or customers
Inferred
Agent_Inference
asset_efficiency_ratio
2.6% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Low recession resistance (Tier 4/5); revenue directly correlated with oil price which historically declines 30-50% in recessions, 2020 demonstrated existential cash flow risk
Inferred
Agent_Inference
customer_segment_primary
Major oil traders and refiners (Plains All American, Shell Trading) purchasing crude under short-term offtake agreements; top 3 buyers likely represent 60-80% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Natural gas and NGL purchasers via pipeline/midstream agreements (DCP Midstream, EnLink); secondary segment representing 15-25% of total revenue at market hub prices
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
26.1% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001282648
High
SEC-EDGAR
ticker
BATL
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_01FAIL2026-07-201 authored question(s) unanswerable — e.g. QBANK_MACRO_003 n
SKILL_OPS_PARTNER_01FAIL2026-07-201 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.