debt_leverage_profile
Net debt/EBITDA ~3.5x; 20% rate rise increases annual interest expense ~BRL 800M, compressing EBITDA margin ~2-3pp given ~BRL 25B gross debt.
Inferred
Agent_Inference
interest_rate_sensitivity
High sensitivity; majority of debt is BRL-denominated floating-rate (CDI-linked); 20% CDI rise materially erodes free cash flow and dividend capacity.
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
Itaipu/Furnas hydropower transmission infrastructure and Petrobras gas supply pipeline network are critical chokepoints with limited short-term substitutability.
Inferred
Agent_Inference
international_expansion_readiness
Cemig operates almost exclusively in Brazil; sovereign currency devaluation exposure is predominantly BRL domestic; international revenue is negligible.
Inferred
Agent_Inference
geographic_footprint
Virtually 100% Brazil (Minas Gerais state); no material international revenue markets; BRL devaluation affects USD-denominated debt costs, not revenue.
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 and Furnas supply contracts represent critical non-substitutable energy sourcing; single-source dependency exceeds 30% of power procurement cost.
Inferred
Agent_Inference
business_model_type_primary
Regulated utility; cloud infrastructure termination is largely irrelevant to core grid operations; SCADA/ERP disruption would be operational, not existential.
Inferred
Agent_Inference
business_model_type_secondary
Unregulated energy trading and gas distribution subsidiaries have modest cloud/digital dependency; 30-day cloud termination causes disruption but not business failure.
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; core operations run on proprietary SCADA and regulated utility systems; commercial/billing systems have moderate vendor dependency.
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue model is regulated electricity distribution and generation tariffs, not investment contracts; securities law reclassification risk is negligible.
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate LGPD (Brazil) exposure for ~8M customer records; minimal GDPR/CCPA exposure given near-zero international customer base; compliance frameworks maturing.
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; Cemig holds near-monopoly distribution concession in Minas Gerais; ANEEL regulates tariffs; antitrust risk centers on unregulated segment M&A activity.
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-based distribution and generation contracts; ~15% transactional from energy trading and unregulated services.
Inferred
Agent_Inference
monetization_vector
Primary monetization via regulated tariff pass-through to ~8M end consumers; secondary via wholesale energy trading on CCEE spot market.
Inferred
Agent_Inference
pricing_architecture
Tariff-regulated by ANEEL with periodic review cycles; limited pricing autonomy; stress scenario—tariff freeze during inflation spike—would severely compress margins.
Inferred
Agent_Inference
pricing_power_rating
Low autonomous pricing power; ANEEL-controlled tariff revisions every 4-5 years; pass-through mechanism partially offsets but introduces regulatory lag risk.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~25-35%; regulated distribution segment constrained by ANEEL cost disallowances; generation segment higher margin (~40-50%) but volume-dependent.
Inferred
Agent_Inference
churn_vulnerability_index
Minimal traditional churn risk; captive regulated service territory; free-rider/energy theft (losses ~10-12% of distributed energy) is the primary leakage problem.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; grid expansion capital-intensive but operational staff grows slowly; technology and automation reducing incremental headcount needs.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (grid capex) not headcount-intensive; doubling distribution volume requires significant infrastructure investment, not proportional staffing.
Inferred
Agent_Inference
franchise_compliance_risk
High concession compliance risk; ANEEL can revoke distribution concession for quality-of-service (DEC/FEC) failures; penalty exposure ongoing in rural grid segments.
Inferred
Agent_Inference
customer_acquisition_metric
CAC effectively zero in regulated territory (captive monopoly); unit economics at 10x scale constrained by regulatory tariff caps, not customer acquisition costs.
Inferred
Agent_Inference
network_effect_present
No traditional network effects; regulated monopoly utility; value does not increase with more users; grid connectivity is a natural monopoly, not a network effect.
Inferred
Agent_Inference
asset_efficiency_ratio
Asset turnover ~0.3x typical for capital-heavy utility; AI displacement risk low for grid operations but moderate for customer service and billing functions.
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession-resistant; electricity is essential service; demand elasticity low; regulated tariffs provide revenue floor; dividend may be cut but operations stable.
Inferred
Agent_Inference
customer_segment_primary
Residential consumers (~60% of volume); highly fragmented, no single customer >1% of revenue; concentration risk is low in distribution segment.
Inferred
Agent_Inference
customer_segment_secondary
Industrial and commercial customers (~35% of distributed volume); large industrial clients in Minas Gerais steel/mining sector represent meaningful revenue concentration.
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 3-4B annually; moderate reallocation toward smart grid and renewable generation; legacy transmission maintenance still consumes majority; future-state shift is gradual.
Inferred
Agent_Inference
sec_cik
0001157557
High
SEC-EDGAR
ticker
CIG
High
SEC-EDGAR