debt_leverage_profile
0.01x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
20bps rate rise increases annual interest expense ~$8-12M given ~$3B long-term debt; regulated utility cost-of-capital filings partially offset impact via rate cases
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
Appalachian Basin natural gas pipeline corridors and Gulf Coast LNG terminal access are top two chokepoints for NJR's gas supply chain
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
NJR operates almost exclusively in New Jersey with minimal international revenue; sovereign currency devaluation risk is effectively zero
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
Transcontinental Gas Pipe Line (Transco) represents a non-substitutable single-pipeline dependency for significant gas transmission volume into NJR service territory
Inferred
Agent_Inference
business_model_type_primary
Regulated utility and energy services; cloud infrastructure termination would cause minimal operational disruption; core operations run on physical gas distribution infrastructure
Inferred
Agent_Inference
business_model_type_secondary
Clean energy and energy services segment uses standard commercial software; 30-day cloud termination is manageable with migration to alternative providers within weeks
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; NJR relies on SCADA, billing, and ERP systems rather than third-party APIs; switching costs are operational, not contractual lock-in
Inferred
Agent_Inference
howey_test_risk_index
Very low Howey Test risk; revenue from regulated gas distribution and retail energy services is clearly a service/commodity model, not an investment contract
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR exposure given US-only operations; CCPA exposure moderate for retail customer data across ~550K utility customers in New Jersey
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates as state-regulated monopoly utility under BPU oversight, which legally sanctions geographic exclusivity in distribution territory
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% recurring via regulated utility tariffs and long-term energy contracts; ~30% transactional from wholesale gas, retail energy marketing, and storage optimization
Inferred
Agent_Inference
monetization_vector
Primary monetization via regulated rate-base return (allowed ROE ~9-10%) plus margin on unregulated retail energy and clean energy investment tax credit monetization
Inferred
Agent_Inference
pricing_architecture
Regulated segment pricing set by NJ BPU rate cases; unregulated segments face commodity price pass-through with margin compression risk during low-volatility gas markets
Inferred
Agent_Inference
pricing_power_rating
Moderate-high; regulated utility segment has near-full pricing power via regulatory compact; retail energy segment faces competitive pressure limiting independent pricing
Inferred
Agent_Inference
target_gross_margin_bracket
Regulated utility gross margin ~55-65%; consolidated gross margin ~30-40% blended when including lower-margin energy services and wholesale segments
Inferred
Agent_Inference
churn_vulnerability_index
Negligible free-rider risk; regulated monopoly distribution ensures captive customer base; retail energy marketing segment faces ~10-15% annual customer churn
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely sublinear to headcount; rate-base additions and clean energy investments scale capital, not people; doubling revenue would require ~20-30% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost is capital-intensive (pipe, solar, storage assets) not labor-intensive; incremental EBITDA margin on regulated capital additions is high once rate-based
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, regulated utility CAC remains near zero (franchise territory); retail energy segment CAC ~$150-250/customer with declining marginal returns at scale
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; gas distribution is a point-to-point infrastructure monopoly with no cross-user value enhancement as customer count grows
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low; core utility operations require physical infrastructure workers; billing/dispatch optimization via AI could reduce back-office headcount ~10-15% over 5 years
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession resistant; natural gas heating is essential service with inelastic demand; regulatory cost recovery mechanisms protect revenue during economic downturns
Inferred
Agent_Inference
customer_segment_primary
Residential natural gas customers (~480K accounts) in Monmouth, Ocean, Morris, Middlesex, and Burlington counties represent largest segment with low individual concentration
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial gas customers plus wholesale energy counterparties; top 10 commercial/industrial customers likely represent ~15-20% of non-regulated segment margin
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
22.2% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0000356309
High
SEC-EDGAR
ticker
NJR
High
SEC-EDGAR