debt_leverage_profile
0.02x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Low sensitivity; Genie Energy carries minimal long-term debt (~$0 net debt, net cash position), so a 200bps rate rise has negligible P&L impact
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
1) Russian/Eastern European natural gas pipeline chokepoints affecting wholesale gas pricing; 2) ERCOT/PJM grid interconnection constraints during extreme weather events
Inferred
Agent_Inference
international_expansion_readiness
Primary international market is UK (GBP exposure); also operates in Japan and Scandinavia — GBP/USD volatility most material, ~10-15% revenue at risk from sterling depreciation
Inferred
Agent_Inference
geographic_footprint
UK (GBP) is largest non-USD market; Japan (JPY) and Nordic markets (SEK/NOK) secondary — combined FX exposure ~15% of revenue, GBP devaluation primary risk
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Dependent on incumbent utility grid operators (non-substitutable for last-mile delivery) and wholesale energy exchanges; no single vendor >30% of cost but grid operators are monopolistic
Inferred
Agent_Inference
business_model_type_primary
Retail energy is not cloud-infrastructure dependent; billing/CRM systems could migrate within 60-90 days; operational disruption moderate but not existential
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital/solar operations have moderate cloud dependency; 30-day termination notice would disrupt customer portals and analytics but core energy delivery unaffected
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Genie uses standard utility EDI/billing APIs (ANSI X12), widely supported — no proprietary API lock-in with single provider
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; retail electricity sales are commodity transactions, not investment contracts — near-zero securities classification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure in UK/EU operations (customer energy usage data is personal data); CCPA exposure limited given primarily B2C US retail focus — compliance frameworks in place
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; Genie is a small retail energy supplier (~1% market share in deregulated states) with no dominant market position in any geography
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~70-75% recurring (month-to-month utility contracts with high stickiness); ~25-30% transactional (spot/variable rate customers, one-time solar installations)
Inferred
Agent_Inference
monetization_vector
Spread-based margin on energy commodity (buy wholesale, sell retail); supplemented by fixed-rate plan premiums and solar installation fees
Inferred
Agent_Inference
pricing_architecture
Variable-rate plans expose company to wholesale price spikes (stress scenario: Winter Storm Uri-type event compresses or inverts margin); fixed-rate plans carry volumetric risk
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; retail energy is commoditized — pricing power limited by incumbent utility price-to-compare benchmarks; brand/service differentiation modest
Inferred
Agent_Inference
target_gross_margin_bracket
24.8% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; energy is metered and billed — consumption directly monetized; churn risk moderate (~15-20% annual in competitive deregulated markets)
Inferred
Agent_Inference
headcount_cost_structure
Sublinear; adding customers requires minimal incremental headcount — billing and customer service scale with modest hiring; technology investments amortize over larger base
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of adding customers is primarily customer acquisition cost (~$100-200/customer) plus incremental energy procurement — largely variable, not fixed headcount
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Genie operates as direct retail supplier, not a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would likely compress via brand recognition and digital channels; however, deregulated market size caps addressable customers — LTV/CAC ratio ~3-4x currently
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; retail energy supply is non-networked commodity service — customer value does not increase with user base growth
Inferred
Agent_Inference
asset_efficiency_ratio
9.3% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession-resistant; electricity and gas are essential utilities with inelastic demand — volume decline in recessions minimal, though bad debt expense rises modestly
Inferred
Agent_Inference
customer_segment_primary
Residential consumers in deregulated US electricity/gas markets (NJ, NY, PA, IL, MD, TX primary states) — no single customer >1% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Small-to-medium commercial energy customers and international residential customers (UK, Japan) — diversified base with no material 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", "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"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
0.1% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001528356
High
SEC-EDGAR
ticker
GNE
High
SEC-EDGAR