EQT Corp
e8198d548fe04b53abddbc12091a93d6
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T02:14:00.754129+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-036 Product to Capability WHAT High
Direct: revenue_model_type=~60-70% quasi-recurring via multi-year fixed-price hedges and firm transport contracts; ~30-40% transactional spot sales tied to Henry Hub. Corroborated: business_model_type_primary=Cloud infrastructure termination is immaterial; EQT operates physical upstream E&P assets with SCADA/OT systems, not cloud-dependent SaaS
SG-006
Cash Machine
VALUE High
SG-001
Add-on
WHO High
SG-010
Digitization
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Cash Machine (SG-006) + Add-on (SG-001) + Digitization (SG-010) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 5 Medium: 17 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
0.35x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
EQT carries ~$5B long-term debt; 200bps rate rise increases annual interest expense ~$100M, compressing FCF ~8-10% given hedged fixed/floating mix
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
Appalachian pipeline capacity (Transco, Equitrans) and Marcellus midstream processing bottlenecks are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
EQT revenues are ~100% USD-denominated domestic natural gas; sovereign currency devaluation risk is effectively zero
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Appalachian Basin (PA, WV, KY); no material international revenue; negligible sovereign currency 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
Equitrans Midstream (now merged) represented >30% of gathering/transport costs; post-merger integration reduces but concentrates operational dependency
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination is immaterial; EQT operates physical upstream E&P assets with SCADA/OT systems, not cloud-dependent SaaS
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital operations (reservoir modeling, data analytics) could migrate to alternative cloud providers within 60-90 days with moderate disruption
Inferred
Agent_Inference
switching_cost_profile
API coupling risk is low; primary operational systems are proprietary OT/SCADA; third-party software vendors (Halliburton, Schlumberger) are substitutable
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; EQT sells commodity natural gas at spot/contract prices, not investment contracts; no securities classification risk
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; EQT handles limited consumer PII; primary data is operational/geological; compliance burden is low-moderate
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; EQT is largest US natural gas producer (~6% market share); Equitrans merger drew DOJ scrutiny but cleared; future consolidation faces elevated review
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
~60-70% quasi-recurring via multi-year fixed-price hedges and firm transport contracts; ~30-40% transactional spot sales tied to Henry Hub
Inferred
Agent_Inference
monetization_vector
Commodity volume × realized price (hedged + spot blend); ancillary midstream fee revenue post-Equitrans merger adds ~10% fee-based stream
Inferred
Agent_Inference
pricing_architecture
Pricing set by Henry Hub spot ± basis differential; EQT hedges ~50-60% of production forward; price-taker model limits architectural stress-testing
Inferred
Agent_Inference
pricing_power_rating
Low standalone pricing power as commodity price-taker; partially offset by low-cost Appalachian basin operator (<$1.50/Mcfe cash cost) enabling margin resilience
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55-65% at $2.50-$3.00 Henry Hub; highly sensitive to gas price; operating margin compresses to ~20-30% after DD&A and transport costs
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage applicable; utility and industrial buyers under firm contracts; spot market exposure creates volume displacement risk in oversupply
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; capital-intensive E&P model scales via drilling program, not labor; doubling production requires ~20-30% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (well costs ~$700-900/MMcfe) but operationally sublinear; incremental production leverages existing infrastructure
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; EQT does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, Appalachian basin resource constraints and pipeline egress limits bind; customer acquisition cost negligible but takeaway capacity becomes critical bottleneck
Inferred
Agent_Inference
network_effect_present
No traditional network effects; pipeline interconnect density creates mild geographic moat but not demand-side network effects; durability is infrastructure-based not network-based
Inferred
Agent_Inference
asset_efficiency_ratio
7.1% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate-low resilience; natural gas demand partially inelastic (heating, power gen) but industrial demand drops in recessions; price volatility dominates revenue impact
Inferred
Agent_Inference
customer_segment_primary
Utilities and power generators (~50-60% of volumes); top 5 utility buyers likely represent 40-50% of contracted volumes creating moderate concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Industrial end-users and LNG exporters (~20-30%); growing LNG export demand diversifies customer base but adds export terminal dependency 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
26.5% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0000033213
High
SEC-EDGAR
ticker
EQT
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.