debt_leverage_profile
0.43x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
~$5M annual interest cost increase per 100bps on ~$700M variable-rate debt; fixed-rate notes partially insulate balance sheet
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 takeaway capacity constraints and Gulf Coast LNG export terminal access are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
100% domestic US operations (Utica/SCOOP-STACK); zero 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
Midstream pipeline operators (Equitrans, Momentum) represent non-substitutable takeaway; switching costs are high and multi-year contracts bind throughput
Inferred
Agent_Inference
business_model_type_primary
Upstream E&P; no material cloud infrastructure dependency; operations run on field SCADA and internal ERP systems, not AWS/GCP/Azure-critical SaaS
Inferred
Agent_Inference
business_model_type_secondary
Hedging and commodity marketing via financial derivatives; operationally resilient to cloud termination
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; relies on standard oilfield software (Quorum, Enverus) with multiple substitutable vendors
Inferred
Agent_Inference
howey_test_risk_index
Low; oil and gas commodity sales fail Howey Test—no common enterprise profit expectation from third-party managerial efforts
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; no consumer data collected, B2B commodity sales, US-only operations
Inferred
Agent_Inference
antitrust_exposure_flag
Low; ~1% Utica market share; no dominant pricing power; subject to FERC pipeline regulation but no antitrust flag
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
~70% hedged/contracted commodity volumes (quasi-recurring); ~30% spot market transactional; no subscription revenue
Inferred
Agent_Inference
monetization_vector
Volumetric commodity sales (Mcfe) priced at spot or fixed hedge; revenue scales directly with production volumes
Inferred
Agent_Inference
pricing_architecture
Commodity price-taker; stress scenario of $1.50/Mcf Henry Hub breaks even near $1.80 NYMEX strip; hedges cover ~50-60% of 2024 gas volumes
Inferred
Agent_Inference
pricing_power_rating
Low; pure price-taker in natural gas/NGL markets; no proprietary pricing leverage
Inferred
Agent_Inference
target_gross_margin_bracket
Lease operating expense ~$0.15/Mcfe; field-level margin 55-65% at $2.50 Henry Hub; compresses sharply below $2.00
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider risk; commodity sold to creditworthy counterparties under ISDA/master gas purchase agreements
Inferred
Agent_Inference
headcount_cost_structure
Sublinear; production growth via pad drilling requires minimal incremental headcount; ~300 employees support ~1.1 Bcfe/d
Inferred
Agent_Inference
marginal_cost_of_growth
Capital-intensive but headcount-sublinear; doubling output requires ~2x capex but <20% headcount increase
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, takeaway infrastructure and royalty owner relations dominate; per-unit finding cost historically $0.60-0.80/Mcfe in Utica
Inferred
Agent_Inference
network_effect_present
No network effects; value driven by geological asset quality and operational efficiency, not user-base size
Inferred
Agent_Inference
asset_efficiency_ratio
17.9% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate-low; natural gas demand relatively inelastic (power/heating), but commodity price collapse in 2020/2016 caused severe cash flow stress
Inferred
Agent_Inference
customer_segment_primary
Utility and power generation offtakers (~50% of volumes); highly concentrated in Mid-Atlantic/Southeast pipeline markets
Inferred
Agent_Inference
customer_segment_secondary
LDC and industrial gas buyers (~30%); remainder sold to financial/marketing counterparties at spot
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
Capital allocated to Utica Shale maintenance and modest growth drilling; ~$480M 2024 capex; minimal legacy-to-future reallocation, sustaining mode
Inferred
Agent_Inference
sec_cik
0000874499
High
SEC-EDGAR
ticker
GPOR
High
SEC-EDGAR