debt_leverage_profile
High leverage; debt-to-equity ~300-400%, typical for Korean state-owned power utilities; 20bp rate rise adds ~KRW 15-25B annual interest cost
Inferred
Agent_Inference
interest_rate_sensitivity
Significant sensitivity; ~KRW 8-10T total debt outstanding; 20bp increase raises annual financing costs by approximately KRW 16-20B
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 South China Sea (coal shipments from Australia/Indonesia)
Inferred
Agent_Inference
international_expansion_readiness
Minimal international revenue; primary exposure domestic KRW; overseas project revenues in USD partially hedge but represent <5% of total
Inferred
Agent_Inference
geographic_footprint
Overwhelmingly domestic South Korea (~95%+); limited overseas assets in Indonesia, UAE; currency devaluation risk in those markets is immaterial to consolidated results
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 handful of LNG suppliers (Qatar, Australia) and coal suppliers; single fuel category can represent >30% of operational input cost
Inferred
Agent_Inference
business_model_type_primary
Physical infrastructure utility; no material cloud dependency; AWS/GCP/Azure termination would be minor operational inconvenience, not existential
Inferred
Agent_Inference
business_model_type_secondary
Capital-intensive regulated power generation; secondary digital/IT systems are on-premise or government cloud; cloud disruption risk is low
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; core operations are physical power generation assets; SCADA/OT systems are proprietary but not API-dependent on commercial cloud vendors
Inferred
Agent_Inference
howey_test_risk_index
Not applicable; revenue model is regulated electricity sales to KEPCO; no investment contract, token, or securities offering involved
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; operates primarily in South Korea under Korean data protection law (PIPA); minimal EU or California consumer data handling
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates as government-owned generation subsidiary within KEPCO group; market structure is state-regulated, not competitive
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
~90%+ quasi-recurring via long-term SMP-based power purchase arrangements with KEPCO; transactional spot sales are minor component
Inferred
Agent_Inference
monetization_vector
Electricity generation sold wholesale to KEPCO under regulated System Marginal Price (SMP); capacity payments provide additional stable revenue stream
Inferred
Agent_Inference
pricing_architecture
Regulated SMP pricing set by Korean power market operator (KPX); company has no independent pricing power; stress scenario is regulatory SMP compression
Inferred
Agent_Inference
pricing_power_rating
Very low; prices dictated by government-regulated SMP mechanism; cannot unilaterally raise tariffs
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins typically 5-15%; highly compressed by fuel costs and regulated selling prices; variable with LNG/coal commodity cycles
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider risk; single offtaker (KEPCO) under regulated framework; churn is not applicable but counterparty concentration is the analogous risk
Inferred
Agent_Inference
headcount_cost_structure
Headcount-linear to sublinear; adding generation capacity requires capital not proportional headcount; doubling output needs ~20-30% more staff, not 100%
Inferred
Agent_Inference
marginal_cost_of_growth
Capital-intensive marginal growth; new capacity requires KRW hundreds of billions per GW; once built, incremental operating cost is primarily fuel
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; operates as subsidiary under KEPCO/Korean government structure; compliance drift risk is not applicable
Inferred
Agent_Inference
customer_acquisition_metric
Single customer (KEPCO) model; CAC effectively zero; unit economics at scale driven by fuel cost per MWh vs. SMP received per MWh
Inferred
Agent_Inference
network_effect_present
No network effects; physical power generation is not a network-effect business; value does not increase with additional users
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core generation; moderate for maintenance scheduling and grid optimization; asset turnover ~0.3-0.4x typical for heavy utility
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession resistant; electricity is essential infrastructure; demand declines modestly (~3-5%) in deep recession but revenue guaranteed via KEPCO
Inferred
Agent_Inference
customer_segment_primary
Single wholesale customer: Korea Electric Power Corporation (KEPCO) represents ~100% of domestic electricity revenue
Inferred
Agent_Inference
customer_segment_secondary
Minor: overseas project offtakers (e.g., Indonesian and Middle Eastern utilities) for international plant operations; immaterial to consolidated 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
Capital shifting toward renewables (offshore wind, solar) and LNG peakers from legacy coal; coal retirement capex creates stranded asset risk alongside new build investment
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
Unlisted on major exchanges; parent KEPCO (KEP) trades on NYSE; EWP is 100% state-owned subsidiary with no publicly traded equity
Inferred
Agent_Inference