debt_leverage_profile
1.77x 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; regulated ROE allows partial pass-through via rate cases with 12-18 month lag
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
Large power transformers sourced heavily from South Korea/Mexico; rare earth materials for grid equipment concentrated in Chinese supply chains
Inferred
Agent_Inference
international_expansion_readiness
Exelon is ~99% US-domestic; negligible sovereign currency devaluation exposure; no material international revenue markets
Inferred
Agent_Inference
geographic_footprint
Operates across IL, PA, MD, DC, NJ, DE; purely USD-denominated; 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
Siemens and GE supply critical grid infrastructure; transformer/substation equipment has 12-24 month lead times making substitution difficult within any 12-month window
Inferred
Agent_Inference
business_model_type_primary
Regulated electric and gas utility; cloud infrastructure termination would disrupt billing/SCADA systems but physical grid operations continue via on-premise OT systems
Inferred
Agent_Inference
business_model_type_secondary
No meaningful secondary cloud-dependent revenue model; core distribution operations run on proprietary OT/SCADA infrastructure largely independent of hyperscaler cloud
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Exelon uses SAP/Oracle ERP with standard utility industry integrations; no single third-party API is operationally critical to grid delivery
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; regulated utility revenue from ratepayers for electricity/gas delivery is a service contract, not an investment contract; securities risk negligible
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate CCPA exposure via smart meter data for ~10M customers; GDPR immaterial given no EU operations; NERC CIP compliance is primary regulatory data obligation
Inferred
Agent_Inference
antitrust_exposure_flag
Low traditional antitrust risk; state-granted geographic monopoly franchises; FERC/state PUC oversight substitutes for antitrust scrutiny 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
~95%+ recurring; multi-year state-approved rate cases guarantee volumetric tariff revenue; minimal transactional/spot revenue outside regulated rate structures
Inferred
Agent_Inference
monetization_vector
Regulated volumetric tariff per kWh/therm delivered; supplemented by fixed customer charges and transmission revenue under FERC-approved tariffs
Inferred
Agent_Inference
pricing_architecture
Cost-of-service rate cases filed every 3-5 years per jurisdiction; stress scenario: inflation spike increases O&M costs but rate relief requires regulatory approval with lag risk
Inferred
Agent_Inference
pricing_power_rating
7/10; strong long-run pricing power via regulatory compact but constrained by political/regulatory approval cycles; commodity pass-through typically automatic
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55-65%; utility gross margin after power procurement and distribution O&M; EBITDA margin ~35-40% at regulated utility level
Inferred
Agent_Inference
churn_vulnerability_index
Effectively zero voluntary churn; captive ratepayers in franchised service territories; no free-rider leakage problem given metered delivery model
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; incremental capital investment in grid infrastructure drives revenue growth without proportional headcount increase; capital-intensive not labor-intensive
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital, not labor; each $1B grid investment yields ~$80-100M incremental rate base revenue; operating leverage improves at scale
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Exelon operates under state utility franchises, not commercial franchise agreements; regulatory compliance drift is managed via PUC oversight
Inferred
Agent_Inference
customer_acquisition_metric
CAC is near-zero; customers assigned by geographic franchise; unit economics at 10x scale would benefit from fixed-cost leverage but are regulated, limiting margin expansion
Inferred
Agent_Inference
network_effect_present
No traditional network effects; grid value is infrastructure-based not user-based; durability comes from regulatory moat and capital barriers, not network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
2.8% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession-resistant; electricity and gas are essential services; demand decline in recession historically <3-5%; regulated revenue largely insulated from GDP cycles
Inferred
Agent_Inference
customer_segment_primary
Residential ratepayers (~40% of revenue); no single customer exceeds 1-2% of revenue; concentration risk is very low across ~10M customer accounts
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial customers (~45% of revenue); large industrial loads (data centers, manufacturers) present modest concentration but individually remain sub-2% of 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
35.2% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001109357
High
SEC-EDGAR
ticker
EXC
High
SEC-EDGAR