Brigham Minerals Inc.
60a2ffde-573a-4d50-8bd6-66db38ca1833
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T06:32:58.896682+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
transaction_fee_percentage
null
Inferred
Pending — BM Dev Shop classification run
deal_closure_rate
null
Inferred
Pending — BM Dev Shop classification run
counterparty_trust_architecture
null
Inferred
Pending — BM Dev Shop classification run
regulatory_license_requirements
null
Inferred
Pending — BM Dev Shop classification run
market_liquidity_dependency
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

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

SG-010 Digitization WHAT High
Direct: marginal_cost_of_growth=Near-zero marginal cost of production revenue; incremental royalty acres add revenue with only acquisition capital and modest G&A, yielding high operating leverage.
SG-022
Layer Player
HOW High
SG-025
Long Tail
WHAT High
SG-023
Licensing
VALUE High

Hybrid Combination

Digitization (SG-010) WHAT provides the core structure, combined with Layer Player (SG-022) + Long Tail (SG-025) + Licensing (SG-023) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 4 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Low leverage; Brigham carried minimal long-term debt (~$0–30M) relative to equity, with net-debt-to-EBITDA well below 1x at acquisition by Sitio Royalties in 2022.
Inferred
Agent_Inference
interest_rate_sensitivity
Minimal direct sensitivity; royalty model generates debt-light cash flows, but a 20bp rate rise marginally increases discount rates, compressing NAV by ~1–2%.
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
Not applicable; as a pure-play mineral royalty company, Brigham has no physical supply chain or geopolitical chokepoints in procurement.
Inferred
Agent_Inference
international_expansion_readiness
Brigham operates exclusively in U.S. domestic basins; zero exposure to sovereign currency devaluation or international revenue markets.
Inferred
Agent_Inference
geographic_footprint
100% U.S.-focused across Permian, DJ, Anadarko, and Williston basins; no foreign currency revenue exposure whatsoever.
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 operational input; operators on leased minerals (e.g., Pioneer, Diamondback) are counterparties, not cost vendors.
Inferred
Agent_Inference
business_model_type_primary
Asset-light royalty model; no material cloud infrastructure dependency—operational disruption from cloud provider termination would be negligible within 30 days.
Inferred
Agent_Inference
business_model_type_secondary
Mineral rights royalty aggregator; secondary revenue from ORRIs. IT systems are back-office only, easily migrated.
Inferred
Agent_Inference
switching_cost_profile
Negligible API coupling risk; Brigham uses standard land management and accounting software (e.g., P2 Energy), with no proprietary API lock-in.
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; royalty income from owned mineral rights is real-property-based, not a securities offering—does not satisfy common enterprise or profit-from-others prongs.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; Brigham's data is primarily geological, land, and financial records with no material personal consumer data collection.
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; mineral acquisition is fragmented and competitive; Brigham held <1% of U.S. mineral acres, insufficient for market power concerns.
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/volumetric royalty revenue tied to operator production; no subscription or retainer contracts—revenue fluctuates with commodity prices and well activity.
Inferred
Agent_Inference
monetization_vector
Royalty override on hydrocarbon production (oil, gas, NGL); monetized per-barrel or per-Mcf at prevailing market prices without operating cost exposure.
Inferred
Agent_Inference
pricing_architecture
Pricing is market-determined (WTI, Henry Hub benchmarks); Brigham has no independent pricing power—revenue is a pass-through percentage of wellhead production value.
Inferred
Agent_Inference
pricing_power_rating
Very low independent pricing power; royalty rates are contractually fixed (typically 20–25% NPI/ORRIs) and commodity prices are exogenous.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins historically ~85–90%; royalty model eliminates lifting costs, with G&A and depletion as primary expense drivers.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; mineral rights are legally binding—operators must pay royalties under lease terms or face title disputes and production injunctions.
Inferred
Agent_Inference
headcount_cost_structure
Highly sublinear; Brigham scaled to ~$200M+ revenue with ~60–80 employees. Doubling revenue requires minimal incremental headcount—land and data roles dominate.
Inferred
Agent_Inference
marginal_cost_of_growth
Near-zero marginal cost of production revenue; incremental royalty acres add revenue with only acquisition capital and modest G&A, yielding high operating leverage.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Brigham is not a franchise business and has no franchise network.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains tied to mineral acquisition premium over PV10; land competition would compress IRRs, but per-unit G&A scales favorably.
Inferred
Agent_Inference
network_effect_present
No network effects; royalty ownership is purely asset-based. Value derives from geological quality and operator activity, not user/network density.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low; geological screening and land acquisition benefit from AI tools but core value is legal mineral ownership, not human labor.
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession resilience; royalty revenue tracks oil prices which are cyclical—2020 downturn cut revenues ~40%, but zero-opex model protects cash flow floor.
Inferred
Agent_Inference
customer_segment_primary
E&P operators (e.g., Pioneer Natural Resources, Diamondback Energy, Devon) who hold working interests on Brigham's mineral acres—top 5 operators ~40–50% of revenue.
Inferred
Agent_Inference
customer_segment_secondary
Mid-tier and private E&P operators across Permian, DJ, and Williston; diversification across 350+ operators reduces single-operator concentration below 15%.
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 reallocation is almost entirely offensive (new mineral acquisitions); no legacy infrastructure to maintain—CapEx is discretionary M&A-style bolt-on spending.
Inferred
Agent_Inference

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.