debt_leverage_profile
Debt/EBITDA ~2.0x; 20% rate rise increases annual interest expense ~$15-20M given floating-rate credit facility exposure, compressing distributable cash flow modestly.
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate credit facility (~$400M drawn) means 20% rate increase adds ~$8-12M annual interest cost; partially offset by commodity price correlation with inflation.
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 pipeline egress capacity constraints and Gulf Coast LNG export terminal access are top two geopolitical/infrastructure chokepoints.
Inferred
Agent_Inference
international_expansion_readiness
Essentially zero; BSM derives ~100% of revenue from U.S. domestic operations; no material sovereign currency devaluation exposure.
Inferred
Agent_Inference
geographic_footprint
Purely domestic U.S. operator across 20+ states; no international revenue markets; 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
Significant operator dependency: working interest operators (e.g., Shelby County assets) control drilling decisions; no single vendor >30% of direct input cost.
Inferred
Agent_Inference
business_model_type_primary
No material cloud infrastructure dependency; BSM operates as a mineral and royalty rights MLP, not a SaaS or cloud-dependent business.
Inferred
Agent_Inference
business_model_type_secondary
Back-office and land administration software (e.g., Quorum, P2 Energy) used but non-critical; cloud termination risk is negligible to core revenue.
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; revenue driven by lease agreements and royalty contracts, not software APIs; switching cost is contractual/legal, not technical.
Inferred
Agent_Inference
howey_test_risk_index
LP units likely pass Howey Test (investment of money in common enterprise expecting profits from others' efforts); regulated as securities, MLP structure accepted.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; no consumer personal data collected; land and royalty records are business data with low regulatory compliance burden.
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; BSM is a passive mineral rights holder, not an operator; no market-dominant pricing behavior in upstream oil and gas royalties.
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-linked royalty revenue; no subscription or retainer model; revenue fluctuates with production volumes and commodity prices.
Inferred
Agent_Inference
monetization_vector
Royalty and lease bonus payments from operators; production-linked revenue per Mcfe/Bbl; no direct commodity hedging at royalty level.
Inferred
Agent_Inference
pricing_architecture
Royalty rates fixed in lease contracts (typically 20-25%); pricing power tied to commodity markets, not internal pricing decisions; stress scenario is sustained sub-$50 WTI.
Inferred
Agent_Inference
pricing_power_rating
Low independent pricing power; royalty rates set at lease signing; BSM benefits from commodity price upside but cannot reprice existing leases upward.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~70-80%; royalty model has minimal direct production costs; operating expenses primarily G&A and land administration.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; operators must pay contractual royalties; primary risk is operators curtailing or delaying drilling on BSM acreage, reducing volumes.
Inferred
Agent_Inference
headcount_cost_structure
Sublinear headcount model; revenue scales with commodity prices and operator activity, not BSM headcount; ~100 employees manage $500M+ revenue base.
Inferred
Agent_Inference
marginal_cost_of_growth
Near-zero marginal cost of incremental royalty revenue; growth driven by acquisitions and operator drilling activity, not proportional internal resource addition.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; BSM is not a franchise business; operator compliance with lease terms is the analogous risk, managed through lease audits.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, acquisition economics worsen as premium mineral acreage becomes scarcer; current A&D market implies 4-6x EBITDA acquisition multiples.
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; mineral rights value is asset-specific; scale provides negotiating leverage in acquisitions but not a self-reinforcing user network.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low; core business is legal/contractual mineral ownership; AI may improve land administration efficiency but cannot displace royalty revenue streams.
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession resilience; royalties decline with commodity prices and operator capex cuts during downturns; distribution has been cut historically during commodity crashes.
Inferred
Agent_Inference
customer_segment_primary
Exploration and production (E&P) operators working BSM's acreage (e.g., SandRidge, XTO/ExxonMobil affiliates); top operators represent significant production concentration.
Inferred
Agent_Inference
customer_segment_secondary
Midstream and marketing counterparties purchasing produced volumes at wellhead; secondary concentration in East Texas/Haynesville shale gas buyers.
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
Minimal maintenance capex; capital allocated primarily to mineral and royalty acquisitions (growth capex); no legacy infrastructure reinvestment drag; acquisition-driven model.
Inferred
Agent_Inference
sec_cik
0001621434
High
SEC-EDGAR
ticker
BSM
High
SEC-EDGAR