Delek Logistics Partners LP
e6aa6c7a-67f0-481a-af7a-feda640512d4
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T15:25:44.782850+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
billing_cadence
null
Inferred
Pending — BM Dev Shop classification run
churn_rate_benchmark
null
Inferred
Pending — BM Dev Shop classification run
annual_recurring_revenue_ratio
null
Inferred
Pending — BM Dev Shop classification run
free_trial_conversion_rate
null
Inferred
Pending — BM Dev Shop classification run
subscriber_ltv_model
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

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

SG-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=High dependency on Delek US Holdings as anchor customer (~80%+ of revenue via long-term commercial agreements), representing critical non-substitutable counterparty risk
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
High leverage ~4.5–5.5x Debt/EBITDA; 20% rate rise adds ~$15–25M annual interest expense given floating-rate credit facility exposure
Inferred
Agent_Inference
interest_rate_sensitivity
Moderate-to-high sensitivity; variable-rate debt on revolving credit facility means 20% rate increase compresses distributable cash flow by ~5–8%
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 corridor and Gulf Coast refinery throughput routes; both subject to regulatory and weather disruption risk
Inferred
Agent_Inference
international_expansion_readiness
Negligible; Delek Logistics operates almost exclusively in the US with no material international revenue, making sovereign currency devaluation exposure effectively zero
Inferred
Agent_Inference
geographic_footprint
Domestic-only operations across Texas, Tennessee, and mid-continent US; no material 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
High dependency on Delek US Holdings as anchor customer (~80%+ of revenue via long-term commercial agreements), representing critical non-substitutable counterparty risk
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination is immaterial; pipeline and terminal operations run on physical infrastructure with minimal cloud dependency for core throughput
Inferred
Agent_Inference
business_model_type_secondary
MLP (Master Limited Partnership) fee-based midstream logistics; physical asset operator not reliant on SaaS or cloud-native architecture
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; operations are physical pipeline/terminal assets; SCADA and ERP systems have moderate switching costs but are not API-dependent revenue drivers
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; LP units represent equity in a physical-asset operating partnership with fee-based revenues, not a speculative investment contract
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; B2B midstream operator with minimal consumer personal data collection; compliance posture is straightforward and low-risk
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; captive pipeline infrastructure serving affiliated refiner (Delek US) raises potential FERC rate scrutiny but not traditional antitrust concern
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
~85–90% recurring via long-term fee-based throughput and storage contracts with minimum volume commitments; ~10–15% transactional/spot
Inferred
Agent_Inference
monetization_vector
Capacity reservation and throughput fees on pipelines, terminals, and storage assets under long-term take-or-pay agreements
Inferred
Agent_Inference
pricing_architecture
Tariff/fee-based with inflation escalators (typically CPI-linked or FERC-indexed); stress scenario of volume decline below MVCs reduces margin but floor is contractually protected
Inferred
Agent_Inference
pricing_power_rating
Moderate; FERC-regulated tariffs limit upside pricing power, but MVC structures and CPI escalators provide stable, inflation-linked floor
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55–70%; high fixed-cost infrastructure with strong incremental margins once fixed costs covered
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; physical infrastructure with exclusive access; no public-good leakage; churn risk tied to Delek US financial health
Inferred
Agent_Inference
headcount_cost_structure
Sublinear; pipeline/terminal throughput growth requires minimal incremental headcount; revenue growth is asset-intensity-driven, not labor-driven
Inferred
Agent_Inference
marginal_cost_of_growth
Low marginal cost once infrastructure is built; growth capex-intensive upfront but incremental throughput carries very high incremental margins (~70–80%)
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Delek Logistics is not a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
Unit economics at 10x scale benefit from fixed-cost leverage; however, growth constrained by Delek US capacity needs and Permian Basin acreage development pace
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; value derives from physical asset exclusivity and contractual relationships, not user-growth dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
6.4% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate resilience; MVC contracts provide downside protection, but prolonged refinery utilization decline or Delek US distress would impair distributions
Inferred
Agent_Inference
customer_segment_primary
Delek US Holdings (affiliated refiner) accounts for ~80%+ of revenue; extreme single-customer concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Third-party crude and refined product shippers in West Texas and mid-continent regions; secondary but growing diversification target
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
26.4% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001552797
High
SEC-EDGAR
ticker
DKL
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_03PASS2026-07-20no 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.