debt_leverage_profile
Regulated utility with debt-to-equity ~1.5–2.0x; 20% rate rise increases annual interest expense ~$15–25M, compressing ROE by ~50–80bps
Inferred
Agent_Inference
interest_rate_sensitivity
Variable-rate debt portion (~20–30% of total) means 20% rate increase adds ~$10–20M annual interest burden; rate cases partially offset via cost recovery
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
Top chokepoints: (1) Chinese transformer/electrical equipment manufacturing; (2) Gulf Coast natural gas pipeline corridors for fuel supply
Inferred
Agent_Inference
international_expansion_readiness
South State Power operates domestically (Southeastern US); sovereign currency devaluation exposure is effectively zero — no material international revenue
Inferred
Agent_Inference
geographic_footprint
Concentrated in Southeast US (South Carolina, Georgia region); no international revenue markets; currency devaluation risk is null
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
High dependency on regional transmission organizations (SERC) and major transformer suppliers; single-source transformer lead times 12–24 months create non-substitutable risk
Inferred
Agent_Inference
business_model_type_primary
Vertically integrated regulated electric utility; cloud infrastructure termination has minimal operational impact — SCADA/grid ops run on hardened on-premise systems
Inferred
Agent_Inference
business_model_type_secondary
Regulated utility with captive ratepayer base; cloud disruption would affect billing/CRM systems but not core power delivery infrastructure
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; utility billing and grid management systems are largely proprietary or vendor-managed; customer switching is rate-case governed, not API-driven
Inferred
Agent_Inference
howey_test_risk_index
Revenue from regulated electricity sales; Howey Test risk is negligible — no investment contract, profit expectation, or common enterprise structure in core model
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate CCPA/GDPR exposure limited to customer billing data; primarily state-regulated utility with NERC CIP cybersecurity compliance as dominant data obligation
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates as state-sanctioned regulated monopoly in service territory — regulatory compact preempts standard antitrust scrutiny
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 via regulated tariff-based electricity sales under multi-year rate cases; minimal transactional or spot-market revenue
Inferred
Agent_Inference
monetization_vector
Volumetric kWh sales at regulated rates; supplemented by demand charges, interconnection fees, and renewable energy credits
Inferred
Agent_Inference
pricing_architecture
Cost-of-service ratemaking with allowed ROE ~9–10%; pricing stress-tested via rate cases every 3–5 years; fuel adjustment clauses provide partial pass-through buffer
Inferred
Agent_Inference
pricing_power_rating
Moderate; rate increases require PSC approval but fuel/infrastructure cost pass-throughs are standard; customer price elasticity is low for essential service
Inferred
Agent_Inference
target_gross_margin_bracket
Regulated utility gross margins typically 35–50%; net operating margin ~12–18% after depreciation and interest on rate base assets
Inferred
Agent_Inference
churn_vulnerability_index
Near-zero churn; captive ratepayers with no alternative provider in franchise territory; free-rider risk absent in monopoly utility structure
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely sublinear to headcount; capital investment (transmission/distribution infrastructure) drives growth, not labor scaling
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost dominated by capex (grid expansion, generation assets); incremental O&M headcount grows at ~0.3–0.5x revenue growth rate
Inferred
Agent_Inference
franchise_compliance_risk
High franchise compliance discipline required; PSC/FERC oversight with mandatory service territory obligations; compliance drift risk is low due to regulatory enforcement
Inferred
Agent_Inference
customer_acquisition_metric
CAC effectively zero for regulated territory; at 10x scale, economics improve via fixed-cost leverage on transmission/distribution infrastructure
Inferred
Agent_Inference
network_effect_present
No traditional network effects; grid reliability has modest demand-side benefit from scale but is infrastructure-driven, not user-driven
Inferred
Agent_Inference
asset_efficiency_ratio
Asset turnover ~0.3–0.4x (capital-intensive); AI can optimize grid dispatch and outage response but cannot displace core regulated infrastructure investment
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession-resistant; electricity is essential service with inelastic demand; volumetric declines limited to ~3–5% in severe recession
Inferred
Agent_Inference
customer_segment_primary
Residential ratepayers (~35–40% of revenue); no single customer >5% of revenue in residential segment
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial customers (~50–55% of revenue); large industrials may represent 10–15% individually, creating moderate 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
Active capex reallocation toward grid modernization, renewable integration, and storm hardening; legacy coal plant retirement accelerating capital pivot
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
null
Inferred
Agent_Inference