debt_leverage_profile
Net debt ~BRL 18B, net debt/EBITDA ~3.5x; 20% rate rise adds ~BRL 360M annual interest cost, compressing FFO by ~15%
Inferred
Agent_Inference
interest_rate_sensitivity
~70% of debt CDI-linked; 20% Selic increase raises annual interest expense by ~BRL 350-400M, reducing net income margin by ~3-4pp
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
Brazilian hydropower equipment from China (turbines/generators) and Paraguayan/Argentine energy interconnections via Itaipu transmission corridor
Inferred
Agent_Inference
international_expansion_readiness
Minimal international revenue; essentially 100% BRL-denominated; sovereign currency devaluation risk is domestic BRL vs USD for debt obligations, not foreign market exposure
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Minas Gerais, Brazil; negligible international revenue; primary FX risk is BRL depreciation inflating USD/EUR-denominated equipment imports and foreign debt
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
Itaipu Binacional energy purchase represents significant non-substitutable input; ANEEL-regulated tariff structure limits switching; single-source hydro quota dependency ~20-25% of supply
Inferred
Agent_Inference
business_model_type_primary
Regulated utility (electricity generation, transmission, distribution); minimal cloud dependency; core operations run on on-premise SCADA/OT infrastructure
Inferred
Agent_Inference
business_model_type_secondary
Cloud termination risk is low-moderate; billing, CRM, and analytics use cloud but operational technology is grid-based and physically resilient to cloud disruption
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; legacy OT/SCADA systems dominate; SAP ERP integration creates moderate switching friction (~BRL 200-400M migration cost estimate)
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from regulated electricity tariffs is a utility service contract, not an investment contract; no securities law ambiguity
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
LGPD (Brazil) compliance required; minimal GDPR/CCPA exposure given near-zero EU/US customer base; primary risk is ANEEL data reporting obligations
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; CEMIG holds near-monopoly in Minas Gerais distribution (CEMIG-D); CADE scrutiny on concession renewals and cross-subsidization between generation/distribution segments
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
~85% recurring via regulated tariff concessions (multi-year ANEEL contracts); ~15% transactional from energy trading and unregulated services
Inferred
Agent_Inference
monetization_vector
Regulated tariff pass-through (distribution ~55% of revenue), energy generation sales (~25%), transmission (~10%), gas and other (~10%)
Inferred
Agent_Inference
pricing_architecture
Tariff-regulated by ANEEL; periodic tariff reviews (every 4-5 years) limit pricing flexibility; stress scenario: 10% tariff lag behind inflation compresses EBITDA margin by ~200bps
Inferred
Agent_Inference
pricing_power_rating
Low autonomous pricing power; ANEEL sets tariffs; political interference risk in tariff reviews historically suppressed real returns; rating: 3/10
Inferred
Agent_Inference
target_gross_margin_bracket
Consolidated gross margin ~25-35%; distribution segment thinner (~15-20%); generation segment higher (~50-60%) due to low marginal cost hydro assets
Inferred
Agent_Inference
churn_vulnerability_index
Minimal churn risk in captive distribution concession area; free-rider risk exists via energy losses (~12-15% technical/commercial losses), costing ~BRL 1.5B annually
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; regulated utility with fixed asset base; doubling generation capacity requires <50% headcount increase; ~14,000 employees currently
Inferred
Agent_Inference
marginal_cost_of_growth
Capital-intensive but operationally sublinear; incremental hydro/wind capacity adds revenue with minimal new headcount; marginal labor cost of growth ~10-15% of incremental revenue
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; concession compliance risk under ANEEL is high; service quality penalties (DEC/FEC metrics) cost CEMIG ~BRL 200-500M/year in regulatory fines
Inferred
Agent_Inference
customer_acquisition_metric
Captive regulated market; CAC near zero for distribution; at 10x scale (hypothetical), unregulated energy trading CAC would rise significantly but remains small segment
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; utility grid is natural monopoly infrastructure; value does not increase with more users; network effect rating: 1/10
Inferred
Agent_Inference
asset_efficiency_ratio
Asset turnover ~0.25x (capital-heavy); AI displacement risk low for grid operations short-term but predictive maintenance AI could reduce O&M costs ~5-8% over 5 years
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession-resistant; electricity is essential service; demand elasticity ~-0.1 to -0.2; regulated tariffs provide revenue floor; dividend yield ~8-10% attracts defensive investors
Inferred
Agent_Inference
customer_segment_primary
Residential consumers in Minas Gerais (~7M connections, ~40% of distribution revenue); no single customer >5% of total revenue
Inferred
Agent_Inference
customer_segment_secondary
Industrial and commercial customers (~35% of distribution revenue); large industrial accounts (steel, mining) in MG create moderate concentration; top 20 industrials ~15% 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
Capex ~BRL 4-5B/year; majority maintenance/regulatory compliance for aging distribution grid; incremental allocation toward renewables (wind/solar) signals partial future-state reallocation (~20% of capex)
Inferred
Agent_Inference
sec_cik
Not SEC-registered; listed on NYSE ADR (CIG); no SEC CIK; Brazilian CVM registration is primary; ANEEL tariff lag + commodity hydrology risk compresses EBITDA by ~150-300bps in dry years
Inferred
Agent_Inference
ticker
CIG (NYSE ADR) / CMIG4 (B3); trades at ~4-5x EV/EBITDA vs LatAm utility peers at 6-7x, reflecting political/regulatory discount and BRL depreciation risk — partial value discount is justified
Inferred
Agent_Inference