debt_leverage_profile
78.65x Total Debt / Equity (High leverage)
High
SEC-XBRL
interest_rate_sensitivity
Moderate sensitivity; ~$400M net debt at ~6% weighted avg cost; 20bps rate rise adds ~$800K annual interest expense, minimal EPS impact given ~$500M 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 egress constraints are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Magnolia operates exclusively in domestic US (South Texas Eagle Ford/Austin Chalk); zero international revenue exposure, no sovereign currency devaluation risk
Inferred
Agent_Inference
geographic_footprint
100% US domestic operations in South Texas; no international revenue markets; sovereign currency devaluation risk is null
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
Oilfield services vendors (Halliburton, SLB) are substitutable; no single vendor exceeds 30% of operational input cost; moderate lock-in risk
Inferred
Agent_Inference
business_model_type_primary
Upstream E&P; no material cloud infrastructure dependency; operations run on standard industry software (Quorum, Enertia); 30-day cloud termination is negligible risk
Inferred
Agent_Inference
business_model_type_secondary
Asset-light relative to major E&Ps; owns mineral rights and wellbores; secondary model is royalty/working-interest revenue from operated and non-operated wells
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; uses standard oilfield ERP and reservoir modeling tools; no proprietary platform lock-in; switching costs are minimal
Inferred
Agent_Inference
howey_test_risk_index
Very low Howey Test risk; revenue model is commodity hydrocarbon sales, a tangible good; no investment contract structure present
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; no consumer data collected; operational data is industrial/geological; compliance burden is negligible
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; ~1% Permian/Eagle Ford market share; no pricing power sufficient to trigger scrutiny; commodity price-taker
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; oil, gas, and NGL spot and short-term contract sales; no subscription or multi-year fixed-price revenue of significance
Inferred
Agent_Inference
monetization_vector
Hydrocarbon commodity sales at market prices; oil ~70% of revenue, gas/NGL ~30%; monetization entirely volume and price-driven
Inferred
Agent_Inference
pricing_architecture
Price-taker on WTI and Henry Hub benchmarks; no proprietary pricing power; stress scenario of $20/bbl WTI decline cuts EBITDA ~40% based on $45/boe breakeven
Inferred
Agent_Inference
pricing_power_rating
Very low; commodity producer with zero pricing differentiation; fully exposed to global oil and gas price cycles
Inferred
Agent_Inference
target_gross_margin_bracket
Upstream E&P gross margin ~55-65% at $70 WTI; lease operating expenses ~$8-10/BOE; margins compress sharply below $50 WTI
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; commodity buyers pay market rate; 'churn' manifests as volume decline from well depletion (~25-30% annual base decline rate)
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; ~280 employees generate ~$800M revenue; doubling production requires minimal headcount increase; capital-intensive not labor-intensive
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth driven by drilling capital (~$450M annual capex) not headcount; cost per incremental BOE ~$15-18; highly capital-efficient relative to peers
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Magnolia is not a franchise business model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, Eagle Ford acreage constraints become binding; unit economics deteriorate as Tier 1 locations deplete; CAC effectively equals well cost (~$5-7M per well)
Inferred
Agent_Inference
network_effect_present
No network effects present; oil and gas production is linear volume business with no cross-side or same-side network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
14.4% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Low recession resistance; oil demand and price historically drop 20-40% in severe recessions; Magnolia's revenue is directly correlated with economic cycles
Inferred
Agent_Inference
customer_segment_primary
Commodity traders and refiners purchasing crude oil; no single customer disclosed above 10% of revenue publicly; moderate concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Natural gas and NGL purchasers via midstream marketing agreements; South Texas midstream providers (Nuevo, Crestwood) are key offtake counterparties
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 allocation is growth-oriented drilling (~$450M/yr) plus ~15% shareholder returns via buybacks; no legacy-to-future-state reallocation; pure-play upstream reinvestment cycle
Inferred
Agent_Inference
sec_cik
0001698990
High
SEC-EDGAR
ticker
MGY
High
SEC-EDGAR