Coterra Energy Inc.
e5454526-f230-4590-aa77-785a9b6d60b5
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T23:01:51.233847+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-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=Midstream pipeline operators (Williams, ET) represent critical non-substitutable transport; no single vendor >30% of input cost but egress concentration is high
SG-035
Premium
WHO Medium
SG-002
Affiliation
VALUE Medium
SG-004
Auction
HOW Medium

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Premium (SG-035) + Affiliation (SG-002) + Auction (SG-004) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 1 Medium: 7 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~$2.5B; Debt/EBITDA ~0.7x; 20% rate rise adds ~$50M annual interest on floating-rate tranche, manageable given $3B+ operating cash flow
Inferred
Agent_Inference
interest_rate_sensitivity
Minimal direct floating-rate exposure; ~80% fixed-rate debt; 20% rate increase immaterial to near-term cash flow, slight P/E multiple compression risk
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 (Waha Hub bottleneck) and Marcellus/Appalachia Northeast takeaway constraints are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Coterra is ~100% domestic US operations; sovereign currency devaluation exposure is effectively zero across all revenue markets
Inferred
Agent_Inference
geographic_footprint
All revenue generated in USD from US domestic basins (Permian, Marcellus, Anadarko); no material foreign currency or sovereign devaluation 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
Midstream pipeline operators (Williams, ET) represent critical non-substitutable transport; no single vendor >30% of input cost but egress concentration is high
Inferred
Agent_Inference
business_model_type_primary
Upstream E&P; not cloud-dependent for core operations; cloud termination would disrupt back-office but not hydrocarbon production or revenue
Inferred
Agent_Inference
business_model_type_secondary
Physical asset-intensive oil and gas producer; secondary digital/analytics tools could be migrated within 60-90 days with moderate disruption
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; uses standard oilfield software (Aucerna, Quorum); no proprietary platform lock-in; switching costs are low-to-moderate
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from commodity sales, not investment contracts; securities law reclassification risk is negligible
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; primary data is operational/geological, not consumer PII; employee data compliance is standard and low-risk
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; ~2-3% US natural gas production share; no dominant market position triggering DOJ/FTC scrutiny; commodity price-taking behavior
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 spot and short-term contract sales dominate; minimal multi-year fixed-price contracts; highly volume and price dependent
Inferred
Agent_Inference
monetization_vector
Volumetric commodity sales (Mcfe/BOE) at spot or near-spot prices; monetization entirely tied to hydrocarbon production volumes and realized prices
Inferred
Agent_Inference
pricing_architecture
Price-taker in commodity markets; no proprietary pricing power; realized prices ~85-95% of NYMEX benchmark; differentials driven by basis and transportation
Inferred
Agent_Inference
pricing_power_rating
Very low; commodity price-taker; hedging program provides 30-50% volume protection but cannot structurally improve pricing above market benchmarks
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55-65% at $3.50 Henry Hub / $75 WTI; compresses to ~35-45% at $2.50/$60; highly sensitive to commodity price deck
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; physical commodity business with direct buyer contracts; volume offtake secured through firm transport and marketing agreements
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital-linear, not headcount-linear; doubling production requires rig/capital deployment, not proportional headcount; labor ~10% of LOE
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear headcount growth; marginal cost of growth driven by D&C capital ($1,400-1,600/BOE finding cost) not labor; strong operating leverage on production increases
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; not applicable
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, midstream egress and basin-level pipeline infrastructure become binding constraints; unit economics (LOE ~$8-10/BOE) likely stable with scale
Inferred
Agent_Inference
network_effect_present
No network effects present; commodity production has zero demand-side network externalities; value driven entirely by geology and capital efficiency
Inferred
Agent_Inference
asset_efficiency_ratio
AI displaces ~10-15% of subsurface engineering/geoscience roles; drilling optimization AI already deployed; moderate displacement, not existential threat
Inferred
Agent_Inference
recession_resistance_tier
Moderate cyclicality; natural gas has inelastic demand floor (heating/power); oil more discretionary; 2020 recession saw 40%+ EBITDA decline—Tier 3 resilience
Inferred
Agent_Inference
customer_segment_primary
Natural gas utilities, LNG exporters, and power generators representing ~60% of gas revenue; highly concentrated among investment-grade counterparties
Inferred
Agent_Inference
customer_segment_secondary
Oil purchasers/refiners and NGL fractionators; top 5 customers likely represent 50-70% of total revenue; customer concentration risk is moderate-to-high
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
~$2.0-2.1B annual capex; ~85% maintenance/growth drilling, ~15% infrastructure; capital directed to high-return Permian oil and Marcellus gas—forward-state allocation
Inferred
Agent_Inference
sec_cik
797468
Inferred
Agent_Inference
ticker
CTRA trades at ~4-5x EV/EBITDA, modest discount to E&P peers; geopolitical gas supply risk partially priced in; valuation reflects commodity uncertainty, not deep distress
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.