Kimbell Royalty Partners, LP
3a4539e929d24ccab12b2ffdbc69a0ee
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T00:10:05.910673+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-022 Layer Player HOW High
Direct: marginal_cost_of_growth=Marginal cost of growth is acquisition capital, not headcount; each royalty acquisition adds revenue with near-zero incremental operating cost. Corroborated: network_effect_present=No meaningful network effects; royalty ownership is non-networked; scale provides data/deal-flow advantages but not true network effect defensibility
SG-025
Long Tail
WHAT High
SG-053
Two-sided Market
HOW High
SG-023
Licensing
VALUE High
SG-010
Digitization
WHAT High

Hybrid Combination

Layer Player (SG-022) HOW provides the core structure, combined with Long Tail (SG-025) + Two-sided Market (SG-053) + Licensing (SG-023) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 5 Medium: 21 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Moderate leverage; ~1.5x Debt/EBITDA on credit facility; 20bps rate rise adds ~$1-2M annual interest expense given floating-rate exposure
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate credit facility means 20bps increase raises cash interest cost modestly; partially offset by royalty income inflation linkage via commodity prices
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 takeaway capacity constraints; Gulf Coast LNG export terminal access are top two geopolitical chokepoints affecting royalty value
Inferred
Agent_Inference
international_expansion_readiness
Virtually no international revenue; 100% U.S.-based mineral royalties; sovereign currency devaluation exposure is effectively zero
Inferred
Agent_Inference
geographic_footprint
Entirely domestic U.S. operations across Permian, Mid-Continent, Appalachia, and other basins; no foreign currency revenue 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
No single vendor exceeds 30% of operational input; relies on multiple E&P operators as lessees; operator concentration (e.g., top 5 operators) is monitored but substitutable
Inferred
Agent_Inference
business_model_type_primary
Asset-light mineral royalty aggregator; not cloud-dependent; termination of any cloud provider would cause operational disruption but not business model failure
Inferred
Agent_Inference
business_model_type_secondary
Passive royalty income model with back-office data/analytics support; cloud dependency is administrative only, not core revenue-generating
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; uses third-party production data aggregators (Enverus/DrillingInfo); switching possible within 3-6 months at moderate cost
Inferred
Agent_Inference
howey_test_risk_index
LP units likely satisfy Howey Test (investment of money in common enterprise, expectation of profits from others' efforts); standard MLP securities risk, not novel
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; no consumer personal data collected; counterparties are energy companies; compliance burden is low
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; passive mineral rights holder with no pricing power over operators; fragmented royalty market with no dominant position
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/volume-based royalty revenue tied to oil and gas production volumes and commodity prices; no subscription or retainer contracts
Inferred
Agent_Inference
monetization_vector
Royalty percentage of gross wellhead revenue from oil, natural gas, and NGL production on owned mineral acres; purely production-volume driven
Inferred
Agent_Inference
pricing_architecture
Royalty rates fixed in perpetuity by lease terms (typically 18-25%); pricing architecture is contractually locked but commodity price exposure creates revenue volatility
Inferred
Agent_Inference
pricing_power_rating
Low direct pricing power; royalty rates set at lease origination; upside comes from acquiring higher royalty-rate acreage and commodity price appreciation
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins ~85-90%; minimal direct operating costs as passive royalty owner; G&A and financing costs are primary expense drivers
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; mineral rights are legally enforceable; operators must pay royalties or face legal action; near-zero churn risk on acreage
Inferred
Agent_Inference
headcount_cost_structure
Highly sublinear; revenue can scale significantly via acquisitions without proportional headcount increases; ~60-70 employees managing $3B+ asset base
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is acquisition capital, not headcount; each royalty acquisition adds revenue with near-zero incremental operating cost
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; not a franchise business model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, royalty aggregation model remains viable; operator counterparty credit risk increases; acquisition multiples may compress with scale
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; royalty ownership is non-networked; scale provides data/deal-flow advantages but not true network effect defensibility
Inferred
Agent_Inference
asset_efficiency_ratio
8.0% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate recession resistance; energy demand partially inelastic but commodity prices highly cyclical; dividend cuts occurred in 2020 oil price crash
Inferred
Agent_Inference
customer_segment_primary
Major and independent E&P operators acting as lessees/operators on Kimbell's mineral acreage (e.g., Pioneer, Devon, Diamondback)
Inferred
Agent_Inference
customer_segment_secondary
No secondary customer segment; all revenue derived from E&P operator royalty payments; no direct consumer or retail exposure
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
0.1% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001657788
High
SEC-EDGAR
ticker
KRP
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_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-21no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.