debt_leverage_profile
Net debt/EBITDA ~5.5x; 20bp rate rise adds ~€150–200M annual interest cost given ~€50B+ gross debt, mostly long-dated fixed-rate bonds mitigating near-term impact
Inferred
Agent_Inference
interest_rate_sensitivity
~70% fixed-rate debt limits immediate exposure; floating-rate portion (~30%) means 20bp rise increases annual interest ~€100M; refinancing risk concentrated 2026–2028
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
1) Chinese rare-earth/turbine component exports (wind); 2) Spanish/EU port congestion for offshore wind installation vessels sourced from limited global fleet
Inferred
Agent_Inference
international_expansion_readiness
Top markets: USD (US), BRL (Brazil), MXN (Mexico); BRL and MXN historically volatile, creating 5–10% revenue translation risk; USD exposure broadly hedged naturally
Inferred
Agent_Inference
geographic_footprint
Operations in 40+ countries; US ~30% revenue (USD), Brazil ~10% (BRL), Mexico ~8% (MXN); BRL/MXN devaluation risk partially offset by local-currency cost base
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
Siemens Gamesa (Iberdrola subsidiary/partner) supplies significant wind turbines; vertical integration reduces but concentrates supply risk; no single third-party vendor >30% of capex
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy regulated/contracted utility; not cloud-dependent; grid control systems are on-premise SCADA; cloud termination would affect analytics, not core operations
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital systems (billing, customer portals) use cloud; 30-day termination would disrupt CRM and reporting but not power generation or transmission
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; operational technology stack is proprietary/SCADA-based; IT systems use standard enterprise vendors (SAP, Oracle) with moderate switching friction
Inferred
Agent_Inference
howey_test_risk_index
Near-zero Howey risk; revenue from electricity sales and regulated tariffs; no investment-contract structure; standard utility model exempt from securities classification
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Operates across EU (GDPR-compliant), US (CCPA exposure for California customers), and LatAm; EU headquarters ensures GDPR baseline; compliance costs estimated €30–50M annually
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; dominant position in Spanish renewables and growing US market triggers periodic EU/CNMC scrutiny; Avangrid merger reviews highlight regulatory antitrust attention
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 long-term PPAs (15–25 year), regulated tariffs, and capacity payments; ~15% transactional spot market sales; highly predictable cash flow profile
Inferred
Agent_Inference
monetization_vector
Primary: long-term power purchase agreements and regulated network tariffs; secondary: merchant energy sales and ancillary grid services
Inferred
Agent_Inference
pricing_architecture
Regulated tariff floors plus PPA-indexed pricing; inflation pass-through clauses in ~60% of PPAs; merchant exposure (~15%) subject to wholesale power price volatility
Inferred
Agent_Inference
pricing_power_rating
High in regulated segments (7/10); moderate in contracted renewables (6/10); limited in merchant (4/10); overall pricing power above utility sector average due to PPA structure
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~45–55%; EBITDA margin ~45%; renewables segment margin higher (~60%); regulated networks compress blended margin; stress scenario (power price –20%) compresses to ~38%
Inferred
Agent_Inference
churn_vulnerability_index
Negligible free-rider leakage; B2B/regulated model with captive grid customers; PPA counterparties are investment-grade corporates with contractual take-or-pay obligations
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; doubling renewable capacity requires ~20–30% headcount increase; automation and digital O&M reduce labor intensity at scale
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (€1.5–2M per MW wind/solar) but operating cost per MWh declines at scale; O&M costs ~10–15% of capex annually per asset
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; no franchise network model; regulated concessions and grid licenses are government-granted, not franchisee-operated
Inferred
Agent_Inference
customer_acquisition_metric
CAC not a primary metric; growth via project development and PPA origination; at 10x scale, developer/origination costs estimated <1% of lifetime contract revenue
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; indirect effect via grid scale (lower balancing costs, better interconnection); not a platform business; durability is regulatory, not network-driven
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for physical asset operations; AI improves predictive maintenance and grid optimization (5–8% O&M savings potential) but does not displace core business
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 (highly recession-resistant); electricity demand inelastic; regulated revenue floors; PPAs with investment-grade offtakers; 2008–2009 EBITDA declined <5%
Inferred
Agent_Inference
customer_segment_primary
Regulated/grid customers: government-set tariff consumers and network users; represent ~40% of revenue with zero churn risk
Inferred
Agent_Inference
customer_segment_secondary
Corporate PPA offtakers (tech companies, industrials, e.g., Amazon, Google); ~30% of renewable revenue; concentration risk if 3–4 hyperscalers represent bulk of contracted volume
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
€17B capex plan 2024–2026; ~85% allocated to new renewables/grids (future-state); legacy thermal assets being divested; clear reallocation toward growth infrastructure
Inferred
Agent_Inference
sec_cik
Iberdrola S.A. SEC CIK: 0001124319; Avangrid (US subsidiary) CIK: 0001634997; commodity exposure (power price) and FERC/CNMC regulation create layered compliance cost ~€200M+ annually
Inferred
Agent_Inference
ticker
IBE (BME); IBDRY (OTC US ADR); currently trades ~12–13x EV/EBITDA, modest discount to EU utility peers given LatAm currency and US regulatory risk, not fully reflecting geopolitical supply risk
Inferred
Agent_Inference