Compañía Española de Petróleos (CEPSA)
0b8e89ac-e7cc-4ede-85a1-f553b882091c
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-22T08:06:25.661681+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
consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
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
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

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

SG-036 Product to Capability WHAT High
Direct: revenue_model_type=~85–90% transactional (fuel/petrochemical spot and contract sales); ~10–15% quasi-recurring via multi-year supply contracts with industrial clients. Corroborated: business_model_type_primary=Asset-heavy industrial; minimal cloud dependency; refining and petro-chemical operations run on proprietary OT/SCADA systems, not public cloud SaaS
SG-010
Digitization
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Digitization (SG-010) + 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
Net debt ~€3.5–4B; Net debt/EBITDA ~2.0–2.5x; 20% rate rise adds ~€70–90M annual interest cost, compressing EBITDA margin ~1–1.5pp
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate debt exposure ~40–50% of total; 20% rate increase on prevailing EURIBOR adds ~€60–80M annual interest burden
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
Strait of Hormuz (Middle East crude sourcing) and Strait of Gibraltar (European export/import corridor for Algerian and West African crude)
Inferred
Agent_Inference
international_expansion_readiness
Top markets: Algeria (DZD non-convertible, high devaluation risk), Panama (USD-pegged, low risk), Saudi Arabia (SAR pegged, low risk); net exposure moderate
Inferred
Agent_Inference
geographic_footprint
Spain ~60% revenue, Algeria ~15%, Panama/Americas ~10%; Algeria's DZD inconvertibility is primary sovereign currency devaluation risk
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
Algeria's Sonatrach represents ~20–25% of crude supply input; non-substitutable in short term due to pipeline infrastructure dependency — near 30% threshold
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy industrial; minimal cloud dependency; refining and petro-chemical operations run on proprietary OT/SCADA systems, not public cloud SaaS
Inferred
Agent_Inference
business_model_type_secondary
Retail fuel network (service stations) uses point-of-sale and loyalty platforms; cloud termination disrupts retail IT but core refining unaffected
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operations are industrial/OT-based; IT systems use standard ERP (SAP); vendor switching feasible within 12–18 months
Inferred
Agent_Inference
howey_test_risk_index
Very low Howey Test risk; revenue from commodity sales and refining services — not investment contracts; no tokenized or passive-return product
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
GDPR exposure via Spanish retail customer loyalty program (~6M cardholders); CCPA not applicable; EU-based operations largely compliant; moderate residual risk
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; dominant Iberian fuel retail position (~25% Spanish market share) attracts CNMC scrutiny; no current active major antitrust proceedings
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% transactional (fuel/petrochemical spot and contract sales); ~10–15% quasi-recurring via multi-year supply contracts with industrial clients
Inferred
Agent_Inference
monetization_vector
Primary: refined product margin (crack spread capture); secondary: petrochemical sales; tertiary: retail fuel station network margin and lubricants
Inferred
Agent_Inference
pricing_architecture
Commodity pass-through pricing; refining margin (crack spread) is real pricing lever; stress scenario of $5/bbl crack spread compression = ~€300–400M EBITDA impact
Inferred
Agent_Inference
pricing_power_rating
Low standalone pricing power; price-taker in crude input and largely price-taker in fuel retail due to competition; crack spread is the value-capture mechanism
Inferred
Agent_Inference
target_gross_margin_bracket
Refining gross margin ~4–8%; chemicals ~12–15%; blended company gross margin ~6–10% depending on crack spread environment
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; fuel is a transactional purchase with no free tier; loyalty program leakage minimal; B2B contract customers have moderate switching incentive
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-sublinear; refining throughput can increase without proportional headcount; retail network expansion is more linear
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth dominated by capex (refinery upgrades, renewables build-out) not headcount; incremental barrel throughput has low marginal labor cost
Inferred
Agent_Inference
franchise_compliance_risk
Retail service station network (~1,800 stations in Spain/Portugal) has moderate compliance drift risk; branded dealer stations add franchisor liability exposure
Inferred
Agent_Inference
customer_acquisition_metric
B2C fuel CAC is near zero (location-driven); at 10x scale, retail margin per liter compresses due to competition; B2B industrial CAC ~€50–200K per contract
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; fuel retail is a proximity/price commodity; loyalty program has weak lock-in; network effect durability: minimal
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low in refining operations (process optimization AI already partially deployed); moderate risk in back-office and retail staffing over 5–7 years
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 (moderate resilience); fuel demand inelastic for essential transport, but petrochemical and aviation fuel volumes decline 10–20% in deep recession
Inferred
Agent_Inference
customer_segment_primary
Retail consumers (gasoline/diesel); no single customer >5% of revenue; low concentration risk in retail segment
Inferred
Agent_Inference
customer_segment_secondary
Industrial/B2B (airlines, chemical companies, shipping); top 10 B2B clients likely represent ~20–25% of revenue; moderate concentration risk
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
Capex ~€600–800M/year; shifting ~25–30% toward renewables/energy transition (green hydrogen, solar); legacy refining maintenance capex still dominant at ~60%
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
CEPSA is privately held (Abu Dhabi's Mubadala ~63%, Carlyle ~37%); not publicly listed; no exchange ticker applicable
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_03PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-22no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.