debt_leverage_profile
1.90x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
Every 100bps rate increase adds ~$50-80M annual interest expense given ~$12B long-term debt; regulated ROE adjustments lag 12-18 months creating earnings compression
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
Gulf Coast natural gas pipeline infrastructure (Hurricane/storm disruption) and transformer/grid equipment from Asian manufacturers (Taiwan Strait, South China Sea tensions)
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Virtually no international revenue; 100% US-domestic operations across Texas, Indiana, Ohio, Minnesota, Mississippi, Louisiana — 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
Siemens and ABB supply critical grid transformers and switching equipment; transformer lead times of 12-24 months create non-substitutable near-term dependency exceeding 30% of capex input
Inferred
Agent_Inference
business_model_type_primary
Minimal operational disruption; CenterPoint runs on-premise SCADA/OT systems and utility ERP; cloud dependency is administrative, not mission-critical for grid operations
Inferred
Agent_Inference
business_model_type_secondary
Regulated utility and natural gas distribution; cloud termination would impact billing/CRM systems but not core energy delivery infrastructure
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; primary systems are proprietary OT/SCADA platforms; third-party API dependencies limited to customer-facing billing and weather data integrations
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; regulated utility revenue from tariff-based energy delivery is not an investment contract — no securities classification risk applicable
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate CCPA exposure via Texas/multi-state customer billing data (~7M+ customers); GDPR not applicable; primary risk is NERC CIP critical infrastructure data compliance
Inferred
Agent_Inference
antitrust_exposure_flag
Low traditional antitrust risk; operates as state-regulated monopoly franchises; risk is regulatory rate case scrutiny and FERC/state PUC oversight, not DOJ/FTC antitrust action
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
~90%+ recurring via state-regulated tariff structures and long-term gas distribution contracts; transactional spot revenue minimal; rate cases reset base every 3-5 years
Inferred
Agent_Inference
monetization_vector
Volumetric tariff per Mcf/kWh plus fixed customer charges; capital investment recovery via rate base earning regulated ROE of ~9.5-10.5%
Inferred
Agent_Inference
pricing_architecture
Cost-of-service regulation caps pricing; rate increases require PUC approval; fuel cost pass-through mechanisms insulate margin but limit upside pricing flexibility
Inferred
Agent_Inference
pricing_power_rating
Moderate; pricing constrained by regulators but guaranteed cost recovery; inflation pass-through via fuel adjustment clauses provides partial protection; ROE compression risk in rising rate environment
Inferred
Agent_Inference
target_gross_margin_bracket
Utility gross margin ~35-45%; natural gas distribution segment margins ~40-50%; regulated ROE framework targets 9.5-10.5% on rate base rather than traditional gross margin optimization
Inferred
Agent_Inference
churn_vulnerability_index
Negligible churn risk; captive monopoly franchise customers cannot switch utility providers; free-rider risk non-existent in regulated territory model
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth; capital investment drives revenue expansion more than headcount; doubling rate base does not require doubling employees; O&M efficiency improves at scale
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (grid/pipeline infrastructure) but headcount-sublinear; incremental customer additions have near-zero marginal labor cost in mature territories
Inferred
Agent_Inference
franchise_compliance_risk
Moderate; operates under municipal franchise agreements across 8 states; compliance drift risk from varying state PUC requirements, pipeline safety regulations (PHMSA), and NERC CIP standards
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC approaches zero in regulated monopoly territories; growth via rate base expansion not customer acquisition; new customer connections cost ~$2,000-5,000 per hookup recovered via rates
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; utility value does not increase with additional customers; scale benefits are cost-side (O&M efficiency) not demand-side network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
2.7% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession resistant; electricity and natural gas are essential services; demand drops only 3-5% in severe recessions; regulated revenue recovery mechanisms provide strong earnings floor
Inferred
Agent_Inference
customer_segment_primary
Residential customers (~85% of customer count, ~50% of margin); Texas (Houston Electric) represents ~60%+ of total earnings — significant geographic concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial customers (~15% of count, ~50% of margin); large industrial C&I in Texas and Indiana gas territories; loss of major industrial anchor tenants would impact volumetric revenue
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
52.2% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001130310
High
SEC-EDGAR
ticker
CNP
High
SEC-EDGAR