Hokkaido Electric Power Co Inc
7847b3e1-4d53-437d-bdf2-d310462ae41c
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T12:54:00.601067+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

Business Model Archetype Classification

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

SG-031 Pay per Use VALUE High
Direct: monetization_vector contains [Regulated per-kWh tariff billing to ~3M Hokkaido customers; revenue tied to consumption volume and METI-approved rate schedules]. Corroborated: revenue_model_type=~95% recurring regulated tariff revenue from captive residential and industrial customers; minimal transactional/spot revenue
SG-024
Lock-in
WHO High
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Pay per Use (SG-031) VALUE provides the core structure, combined with Lock-in (SG-024) + Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 4 Medium: 17 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
High leverage; net debt/EBITDA ~8-10x typical for Japanese regional utilities; 20bp rate rise adds ~¥1-2B annual interest cost
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate portion of ~¥300-400B debt means 20bp rise increases annual interest expense by roughly ¥600M-800M, compressing thin margins
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
Strait of Hormuz (LNG/oil imports from Middle East) and Malacca Strait (coal/LNG from Southeast Asia/Australia)
Inferred
Agent_Inference
international_expansion_readiness
Negligible international revenue; virtually no sovereign currency devaluation exposure — domestic Japan-only utility
Inferred
Agent_Inference
geographic_footprint
Operations confined to Hokkaido, Japan; no material international revenue markets; yen is sole functional currency
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
Hokkaido Gas and major LNG suppliers (JERA/trading houses) represent critical non-substitutable fuel inputs exceeding 30% of operating cost
Inferred
Agent_Inference
business_model_type_primary
Asset-intensive regulated utility; no material cloud infrastructure dependency — operates proprietary SCADA/grid management systems
Inferred
Agent_Inference
business_model_type_secondary
Not applicable; secondary cloud disruption risk is minimal given on-premise legacy IT infrastructure dominance
Inferred
Agent_Inference
switching_cost_profile
Minimal API/cloud coupling risk; relies on proprietary grid control systems with low third-party API dependency
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from regulated electricity tariffs, not investment contracts — near-zero securities classification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; customer base is domestic Japanese; subject to Japan's APPI with low cross-border data transfer risk
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; regional monopoly in Hokkaido electricity distribution subject to JFTC oversight and METI rate regulation 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 regulated tariff revenue from captive residential and industrial customers; minimal transactional/spot revenue
Inferred
Agent_Inference
monetization_vector
Regulated per-kWh tariff billing to ~3M Hokkaido customers; revenue tied to consumption volume and METI-approved rate schedules
Inferred
Agent_Inference
pricing_architecture
Cost-plus regulated pricing; METI approves rate revisions; limited ability to pass through fuel cost spikes rapidly — 12-18 month lag risk
Inferred
Agent_Inference
pricing_power_rating
Low autonomous pricing power; rate increases require regulatory approval; recent approvals granted ~15-20% hike reflecting fuel cost surge
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~15-25%; heavily compressed by fuel procurement costs representing 50-60% of revenue in high LNG price environments
Inferred
Agent_Inference
churn_vulnerability_index
Low churn due to grid monopoly; retail liberalization post-2016 creates ~5-10% industrial customer defection risk to new entrants
Inferred
Agent_Inference
headcount_cost_structure
Headcount-linear to sublinear; doubling output requires grid capex not proportional headcount growth; ~5,000 employees relatively fixed
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost is capital-intensive (grid/generation capex), not labor-driven; incremental kWh delivery has low marginal opex
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; regulated utility structure with METI compliance obligations — regulatory drift risk rather than franchise drift
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale (impossible as monopoly), CAC irrelevant; current regulated monopoly means near-zero customer acquisition spend
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; grid is natural monopoly infrastructure — value does not increase with additional users
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core grid operations; AI may optimize demand forecasting and maintenance, saving ~3-5% opex over decade
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession resistant; electricity is essential service with inelastic demand; volume drops ~2-4% in severe recession
Inferred
Agent_Inference
customer_segment_primary
Residential households (~40% of revenue); captive monopoly customer base across Hokkaido prefecture
Inferred
Agent_Inference
customer_segment_secondary
Industrial/commercial customers (~55% of revenue); top 10 industrial clients likely represent 15-20% of total 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 shifting toward renewable (wind/geothermal) and grid modernization; legacy thermal maintenance still consumes ~40% of capex budget
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
9509.T; trading near book value with P/B ~0.5-0.7x, reflecting high fuel cost risk, nuclear restart uncertainty, and leveraged balance sheet 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_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-21no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.