debt_leverage_profile
1.66x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
Each 20bps rate rise adds ~$80-100M annual interest expense given ~$40B long-term debt load; earnings impact ~1-2% EPS dilution
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
Chinese-manufactured transformer components and rare-earth materials; Gulf Coast steel/aluminum for transmission infrastructure
Inferred
Agent_Inference
international_expansion_readiness
AEP is ~99% domestic US; international revenue is negligible, so sovereign currency devaluation exposure is effectively zero
Inferred
Agent_Inference
geographic_footprint
11-state US service territory across Midwest/Southwest; near-zero international revenue means no material sovereign currency devaluation 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
No single vendor exceeds 30% of input costs, but natural gas pipeline suppliers (EQT, Williams) and transformer OEMs (ABB, Siemens) are near-critical dependencies
Inferred
Agent_Inference
business_model_type_primary
Regulated electric utility; cloud infrastructure termination would disrupt billing/SCADA systems but not core grid operations; 30-day risk is moderate, not existential
Inferred
Agent_Inference
business_model_type_secondary
Competitive energy/renewables segment; cloud disruption would impair trading analytics and customer platforms but legacy OT systems provide operational continuity
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; core grid operations run on proprietary OT/SCADA platforms (GE, Emerson); IT systems use standard enterprise vendors with substitutable cloud layers
Inferred
Agent_Inference
howey_test_risk_index
Near-zero Howey Test risk; revenue from regulated electricity tariffs and approved rate cases, not investment contracts; no token or profit-sharing structure
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure due to domestic US focus; moderate CCPA risk from ~5M+ residential customer data in California-adjacent operations; compliance infrastructure is established
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates as state-regulated monopoly franchises; FERC and state PUC oversight substitutes for antitrust enforcement in service territories
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 regulated rate base tariffs and long-term PPAs; transactional spot energy sales represent less than 10% of total revenue
Inferred
Agent_Inference
monetization_vector
Regulated cost-of-service tariffs plus approved ROE on rate base (~$40B+); secondary vector is competitive contracted renewables under long-term offtake agreements
Inferred
Agent_Inference
pricing_architecture
Prices set by state PUCs via rate cases with allowed ROE of 9-10%; limited stress scenario upside but downside protected; competitive segment exposed to wholesale power price volatility
Inferred
Agent_Inference
pricing_power_rating
Moderate; regulated segment has guaranteed cost recovery but ROE capped by regulators; competitive segment pricing follows ERCOT/PJM market clearing prices
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin approximately 35-45%; regulated utilities compress gross margin via high depreciation and fuel pass-through mechanisms; EBITDA margin ~30-35%
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; monopoly franchise territories prevent bypass; industrial customers in deregulated zones (~10% of load) have some switching optionality to retail suppliers
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; capital investment drives capacity additions with modest incremental labor; doubling revenue via rate base growth requires ~10-15% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost is capital-intensive (grid/generation capex ~$7-8B/year) but operationally sublinear; incremental kWh delivery has near-zero marginal labor cost
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise network; operates under state utility commission certificates of necessity; compliance drift risk is regulatory rate case disallowances, estimated 2-5% capex exposure annually
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, regulated monopoly model makes CAC irrelevant; competitive renewables segment CAC is ~$5-15/MWh contracted; scale economics improve project finance terms
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; grid infrastructure is natural monopoly but value does not increase with additional users; durability is regulatory franchise protection, not network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
3.3% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession-resistant; electricity is essential service with inelastic demand; industrial load (-10-15% in recessions) partially offsets residential stability; regulated ROE provides earnings floor
Inferred
Agent_Inference
customer_segment_primary
Residential customers (~40% of revenue); no single customer exceeds 1-2% of revenue; concentration risk is low but regional industrial anchor customers (steel, auto) create sector exposure
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial customers (~55% of revenue); large industrials in Ohio, Texas, West Virginia mining/manufacturing sectors represent moderate sectoral 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
0.0% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000004904
High
SEC-EDGAR
ticker
AEP
High
SEC-EDGAR