debt_leverage_profile
1.13x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
High sensitivity; ~$1.8B floating-rate debt means 200bps rise adds ~$36M annual interest expense, compressing coverage ratio materially
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 takeaway capacity constraints and Williston Basin crude-by-rail bottlenecks are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
100% US domestic revenues; zero sovereign currency devaluation exposure across Williston, Permian, and Appalachian operating areas
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
Operated working-interest partners (e.g., Continental, Chord Energy) control drilling decisions; NOG is non-operator, creating high operator dependency exceeding 30% per key partner
Inferred
Agent_Inference
business_model_type_primary
Non-operator E&P; no cloud infrastructure dependency — field operations run on oilfield data platforms, not hyperscaler compute
Inferred
Agent_Inference
business_model_type_secondary
Royalty/working-interest revenue model; cloud termination would disrupt back-office analytics but not production revenue
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; NOG uses standard oilfield data aggregators (Enverus, DrillingInfo) with multiple substitutable alternatives
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenues derive from tangible hydrocarbon production, not passive investment contracts sold to public participants
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; no consumer personal data collected, operations entirely within US B2B/institutional investor context
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; NOG holds <1% of US oil production, is a price-taker, and lacks market-power concentration in any basin
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; revenue tied to spot/hedged commodity sales with no subscription or multi-year contracted revenue streams
Inferred
Agent_Inference
monetization_vector
Hydrocarbon commodity sales (oil ~75%, gas/NGL ~25%) priced at market or hedged strip; purely volumetric monetization
Inferred
Agent_Inference
pricing_architecture
Price-taker model; realized prices set by WTI/Henry Hub benchmarks minus differentials — no internal pricing power lever exists
Inferred
Agent_Inference
pricing_power_rating
Very low; commodity price-taker with realizations driven entirely by macro oil/gas markets and basin-level differentials
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55-65% at $70-75 WTI; highly sensitive to commodity price, compressing sharply below $55 WTI breakeven
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; physical hydrocarbon assets are rivalrous and excludable — access requires capital ownership of working interests
Inferred
Agent_Inference
headcount_cost_structure
Highly sublinear; NOG operates with ~50 employees managing $4B+ asset base — doubling revenue requires minimal incremental headcount
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is predominantly capital (acquisition/drilling AFEs), not labor — incremental G&A per barrel declines at scale
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, per-unit economics improve via G&A leverage; key constraint is acquisition deal flow and operator partner capacity, not unit economics
Inferred
Agent_Inference
network_effect_present
No network effects; asset value is intrinsic to subsurface reserves, not user-base size or platform adoption
Inferred
Agent_Inference
asset_efficiency_ratio
1.2% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Low recession resistance; oil demand destruction and price collapse during recessions directly compress revenue and asset values
Inferred
Agent_Inference
customer_segment_primary
Revenue source is commodity market buyers (refiners, midstream purchasers) — no single customer concentration risk given fungible commodity sales
Inferred
Agent_Inference
customer_segment_secondary
Capital markets/institutional investors are critical stakeholders for equity/debt financing; concentration risk in credit market access during downturns
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
0.0% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001104485
High
SEC-EDGAR
ticker
NOG
High
SEC-EDGAR