debt_leverage_profile
0.82x Total Debt / Equity (Moderate leverage)
High
SEC-XBRL
interest_rate_sensitivity
A 20bps rate increase adds ~$30-50M annual interest expense given ~$10B+ long-term debt; regulated cost recovery partially offsets 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
Natural gas pipeline infrastructure concentrated in Gulf Coast production basins; electric grid equipment sourced heavily from Asian transformer manufacturers
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
NiSource operates exclusively in the US (IN, OH, PA, VA, KY, MD); zero sovereign currency devaluation exposure
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
No single vendor exceeds 30% of input costs; gas supply diversified across multiple producers, but transmission pipeline capacity contracts create moderate switching friction
Inferred
Agent_Inference
business_model_type_primary
Cloud termination would be operationally disruptive but not catastrophic; core utility SCADA and grid operations run on dedicated industrial control systems, not public cloud
Inferred
Agent_Inference
business_model_type_secondary
Customer billing, CRM, and back-office systems have cloud dependency; 30-day termination would require emergency migration causing billing disruption for weeks
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; utility operations rely on proprietary OT/SCADA systems with minimal third-party API dependency in revenue-critical infrastructure
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; regulated utility revenue model (tariff-based rate recovery) is not an investment contract — essentially zero securities reclassification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR exposure (US-only operations); moderate CCPA exposure for California-adjacent data practices, but limited direct California customer base
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates as state-regulated natural monopoly with PUC oversight — market exclusivity is legally sanctioned, not anticompetitive
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
~95%+ recurring revenue via regulated tariff-based utility rates under multi-year rate cases; minimal transactional revenue
Inferred
Agent_Inference
monetization_vector
Regulated rate recovery on rate base (capital investment monetization); volumetric gas/electric delivery charges with fixed customer charges providing floor revenue
Inferred
Agent_Inference
pricing_architecture
Rate structures set by state PUCs; pricing stress is absorbed via regulatory lag — a rate freeze scenario compresses ROE toward 8-9% vs authorized 10-11%
Inferred
Agent_Inference
pricing_power_rating
Moderate-high; cannot unilaterally raise prices but rate base growth (~$1.6B annual capex) drives systematic rate case approvals with ~10% authorized ROE
Inferred
Agent_Inference
target_gross_margin_bracket
18.6% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
Negligible churn risk; captive regulated monopoly service territory with no meaningful customer choice — free-rider problem not applicable
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; capital investment drives rate base and revenue growth — field workforce scales modestly with infrastructure expansion
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal revenue growth driven by capital deployment (rate base expansion), not headcount; incremental O&M costs ~15-20% of incremental revenue
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; regulated utility certificates of public convenience and necessity replace franchise agreements — compliance risk is regulatory, not franchise drift
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, unit economics remain strong given monopoly territory; customer acquisition cost is near-zero — growth comes via infrastructure capex, not marketing spend
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; utility value does not increase with user growth — durability is regulatory moat, not network-based
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low; physical gas/electric distribution infrastructure cannot be AI-displaced — AI may reduce O&M costs 5-10% over decade
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession resistant; natural gas heating and electric service are non-discretionary essentials with regulatory bad-debt recovery mechanisms
Inferred
Agent_Inference
customer_segment_primary
Residential customers (~70% of customer count); individually low-concentration but collectively ~45-50% of revenue — no single customer material
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial customers (~30% of count, ~50% of revenue); large industrial accounts present modest concentration risk but diversified across manufacturing sectors
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
42.7% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001111711
High
SEC-EDGAR