debt_leverage_profile
High leverage ~6-7x Net Debt/EBITDA; 20bp rate rise adds ~$15-20M annual interest expense given ~$3B+ floating-rate debt exposure.
Inferred
Agent_Inference
interest_rate_sensitivity
Significant sensitivity; variable-rate credit facility exposure means each 20bp increase costs ~$6-8M annually, pressuring distributable cash flow.
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 takeaway capacity constraints and Cushing, Oklahoma crude hub congestion are top two chokepoints for NGL's midstream operations.
Inferred
Agent_Inference
international_expansion_readiness
Negligible; NGL operates almost exclusively in the US. International revenue is effectively zero, so sovereign currency devaluation exposure is null.
Inferred
Agent_Inference
geographic_footprint
Purely domestic US operations across Permian, Bakken, Mid-Continent, and Northeast; no material international revenue or currency devaluation exposure.
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
Moderate; NGL depends on key crude oil producers (e.g., Permian Basin E&Ps) for volume, but no single producer exceeds 30% of throughput per public disclosures.
Inferred
Agent_Inference
business_model_type_primary
Physical midstream infrastructure (pipelines, terminals, water disposal); zero cloud infrastructure dependency — operations are asset-heavy, not cloud-hosted.
Inferred
Agent_Inference
business_model_type_secondary
Fee-based midstream MLP; cloud termination risk is negligible as core business relies on physical pipelines and trucks, not SaaS or cloud platforms.
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; NGL's business is physical commodity logistics. IT systems are standard ERP/SCADA — no proprietary API lock-in.
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; NGL's LP units are registered securities generating fee-based midstream revenue — clearly commodity services, not an investment contract scheme.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; NGL handles B2B commodity transactions with minimal consumer personal data. Compliance cost is immaterial relative to revenue.
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; NGL's water disposal and crude gathering in Permian could attract scrutiny if market share becomes dominant, but current scale unlikely triggers DOJ action.
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
~70-75% fee-based contracted revenue (volume commitments, take-or-pay); ~25-30% transactional/commodity-exposed, particularly in crude logistics segment.
Inferred
Agent_Inference
monetization_vector
Primarily throughput/volume fees on pipelines and water disposal plus crude oil buy-sell spreads; secondarily truck logistics and terminal storage fees.
Inferred
Agent_Inference
pricing_architecture
Fee-based tariffs with CPI escalators in long-term contracts; commodity spread business vulnerable to crude differentials compressing in backwardated markets.
Inferred
Agent_Inference
pricing_power_rating
Moderate; contracted segments have CPI-linked pricing power, but crude logistics margins are market-driven and compress in low-differential environments. Rating: 5/10.
Inferred
Agent_Inference
target_gross_margin_bracket
3.0% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
Low free-rider risk; physical infrastructure requires formal contracts. Volume shortfall risk exists under minimum volume commitments but no free-rider dynamic.
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth model; pipeline and water disposal infrastructure scales with capital investment, not headcount. Doubling revenue requires ~20-30% headcount growth.
Inferred
Agent_Inference
marginal_cost_of_growth
Primarily capital-intensive (pipeline/disposal well capex), not labor-intensive. Incremental EBITDA margins improve at scale once fixed infrastructure costs are covered.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; NGL is not a franchise business. Operations are directly owned midstream assets across pipeline, water, and crude logistics segments.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, unit economics weaken without new pipeline corridors; water disposal well costs ~$5-10M each, limiting rapid scaling without significant capex.
Inferred
Agent_Inference
network_effect_present
Weak network effects; more producer connections improve asset utilization and reduce per-unit cost, but physical infrastructure limits true network effect durability.
Inferred
Agent_Inference
asset_efficiency_ratio
-4.3% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 3 (moderate vulnerability); crude and NGL volumes decline in recessions as E&P activity falls, though water disposal has more stable contracted volumes.
Inferred
Agent_Inference
customer_segment_primary
E&P companies (oil and gas producers) in Permian, Bakken, and Mid-Continent basins representing the majority of water disposal and crude gathering revenue.
Inferred
Agent_Inference
customer_segment_secondary
Refiners, crude oil traders, and terminals served through NGL's crude logistics segment; concentration risk moderate if top 5 E&P customers represent ~40%+ of volume.
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
25.1% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001504461
High
SEC-EDGAR
ticker
NGL
High
SEC-EDGAR