Companhia de Gas de Sao Paulo (Comgas)
7cbfb5e3-08b1-45df-bd27-36bc6cd15fe1
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-22T16:38:34.301144+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run
billing_cadence
null
Inferred
Pending — BM Dev Shop classification run
churn_rate_benchmark
null
Inferred
Pending — BM Dev Shop classification run
annual_recurring_revenue_ratio
null
Inferred
Pending — BM Dev Shop classification run
free_trial_conversion_rate
null
Inferred
Pending — BM Dev Shop classification run
subscriber_ltv_model
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=Petrobras and Bolivian gas via TBG collectively supply ~90%+ of natural gas volume; single non-substitutable pipeline infrastructure creates critical dependency
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 13 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt/EBITDA ~2.5x; 20% rate rise increases annual interest expense ~BRL 150M, compressing net margin ~2-3pp given ~BRL 5B debt load
Inferred
Agent_Inference
interest_rate_sensitivity
Predominantly CDI-linked debt; 20% Selic spike raises financing costs ~BRL 150-200M annually, material given thin net margins ~8-10%
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
Bolivian gas pipeline (GASBOL) via TBG; Brazilian pre-salt and Mato Grosso do Sul fields via Petrobras monopoly infrastructure
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
100% Brazil (São Paulo state); no international revenue; currency devaluation risk is input-cost driven (USD-linked gas contracts), not revenue-side
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
Petrobras and Bolivian gas via TBG collectively supply ~90%+ of natural gas volume; single non-substitutable pipeline infrastructure creates critical dependency
Inferred
Agent_Inference
business_model_type_primary
Not cloud-dependent; Comgas operates physical gas distribution infrastructure; cloud termination would affect billing/ERP systems only, not core operations
Inferred
Agent_Inference
business_model_type_secondary
Regulated utility; on-premise and hybrid IT for SCADA/pipeline management; no material SaaS or cloud-native revenue model
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; legacy SCADA and ERP systems; switching costs are operational/regulatory, not API-driven
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from regulated gas distribution tariffs—not investment contracts; negligible securities law reclassification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure (Brazil-only operations); LGPD (Brazil's data law) compliance required for ~2M customer records; no CCPA exposure
Inferred
Agent_Inference
antitrust_exposure_flag
High structural antitrust risk: state-granted monopoly concession in São Paulo; CADE oversight active; tariff regulation substitutes for competition law
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 regulated concession contracts with residential, commercial, and industrial customers; tariff resets every 5 years
Inferred
Agent_Inference
monetization_vector
Volumetric gas distribution tariff (BRL/m³) plus fixed monthly connection charge; regulated by ARSESP
Inferred
Agent_Inference
pricing_architecture
Regulated pass-through pricing; gas cost fully passed to consumers; distribution margin fixed by regulator; limited stress from commodity spikes
Inferred
Agent_Inference
pricing_power_rating
Moderate; tariff increases require ARSESP approval; inflation pass-through allowed but delayed 12-18 months, creating short-term margin compression
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~35-40%; EBITDA margin ~25-30%; regulated spread between gas purchase cost and distribution tariff is the primary lever
Inferred
Agent_Inference
churn_vulnerability_index
Near-zero churn; piped gas infrastructure has no free-rider problem; disconnection rate <1% annually; captive residential/commercial base
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth; capital-intensive utility—doubling volume requires pipeline capex, not proportional headcount; ~4,500 employees relatively fixed
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is infrastructure capex (~BRL 1-1.5B/year); incremental connections ~BRL 3,000-5,000 per unit; operating leverage strong once connected
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale (theoretically ~20M connections), unit economics improve via fixed-cost leverage; current CAC ~BRL 3,000-5,000/connection, declining at scale
Inferred
Agent_Inference
network_effect_present
No traditional network effects; pipeline density creates geographic lock-in but value per user doesn't increase with more users; durable monopoly concession instead
Inferred
Agent_Inference
asset_efficiency_ratio
Low AI displacement risk; physical pipeline distribution requires field technicians; AI optimizes maintenance scheduling but cannot replace infrastructure operations
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 recession-resistant; residential gas (cooking/heating) is essential; industrial volumes (40%+ of revenue) cyclically sensitive and declined ~15% in 2015-16 recession
Inferred
Agent_Inference
customer_segment_primary
Residential customers (~2M connections, ~30% of revenue); highly stable, low concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Industrial/commercial customers (~25% of connections, ~50% of volume); top 20 industrial clients likely represent ~20-25% of total revenue—moderate 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
~BRL 1.2-1.5B annual capex; ~70% network expansion (new connections, pipeline extension), ~30% maintenance; not legacy-to-future reallocation—steady infrastructure build
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
CGAS3/CGAS5 (B3); regulatory tariff lag and Bolivian gas supply risk partially priced in; EV/EBITDA ~6-7x vs LatAm utility peers ~7-9x suggests modest discount
Inferred
Agent_Inference

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01FAIL2026-07-221 authored question(s) unanswerable — e.g. QBANK_MACRO_003 n
SKILL_OPS_PARTNER_01FAIL2026-07-221 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.