SP AusNet
61a0e348-31a4-4263-8527-ccc74c38059c
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T16:36:51.137283+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
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
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-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=ABB and Siemens collectively supply critical switchgear and transformers; no single vendor >30% but substitution lead times exceed 18 months
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: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Highly leveraged regulated utility; net debt ~A$10–11B, net debt/RAB ~60–65%; 20bp rate rise adds ~A$20–22M annual interest cost
Inferred
Agent_Inference
interest_rate_sensitivity
~70% fixed-rate debt hedges near-term exposure; 20bp rise impacts ~A$20M p.a. on floating tranche; refinancing risk on ~A$1B annual maturities
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
High-voltage transformer manufacturing concentrated in China; HVDC/grid cable supply chokepoint in Taiwan Strait shipping lanes
Inferred
Agent_Inference
international_expansion_readiness
Purely domestic Australian operator; no international revenue markets; sovereign currency devaluation exposure is null
Inferred
Agent_Inference
geographic_footprint
100% Victoria, Australia operations; zero foreign-currency revenue; AUD depreciation mildly benefits USD-denominated debt costs
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
ABB and Siemens collectively supply critical switchgear and transformers; no single vendor >30% but substitution lead times exceed 18 months
Inferred
Agent_Inference
business_model_type_primary
Regulated asset base utility; not cloud-dependent for core grid operations; 30-day cloud termination would disrupt billing/SCADA analytics, not grid control
Inferred
Agent_Inference
business_model_type_secondary
Secondary IT systems (SAP, metering data management) use Azure; disruption manageable within 90 days via on-premise fallback
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operational technology (OT) systems proprietary and on-premise; IT vendor switching costly but not operationally critical
Inferred
Agent_Inference
howey_test_risk_index
Regulated electricity/gas distribution revenue; fails Howey Test — not a security or investment contract; Howey risk index: negligible
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Australian Privacy Act governs; GDPR/CCPA not directly applicable; low exposure given domestic-only customer base and no EU/US data flows
Inferred
Agent_Inference
antitrust_exposure_flag
Natural monopoly regulated by AER under NEM framework; antitrust risk low but regulatory price-cap risk is the functional equivalent
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 under multi-year AER determinations; <5% transactional (contestable services, metering)
Inferred
Agent_Inference
monetization_vector
Regulated allowed revenue set by AER every 5 years on RAB×WACC formula; monetization is tariff pass-through to distribution network users
Inferred
Agent_Inference
pricing_architecture
AER-set maximum allowable revenue; pricing stress-test shows ~3–5% real revenue downside if AER cuts WACC by 50bp in next reset
Inferred
Agent_Inference
pricing_power_rating
Moderate-low autonomous pricing power; pricing entirely AER-determined; inflation pass-through via CPI indexation provides partial protection
Inferred
Agent_Inference
target_gross_margin_bracket
EBITDA margin ~55–60%; gross margin ~65–70% typical for regulated network utilities with high depreciation offset
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; monopoly distribution network; captive customer base with mandatory network access charges
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth sublinear to headcount; RAB growth drives revenue, not staffing; doubling RAB requires <20% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of revenue growth is capex-intensive (grid assets) not labour-intensive; incremental EBITDA margin on new RAB ~55–60%
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; regulated monopoly concession; compliance drift risk replaced by regulatory reset risk every 5 years under AER
Inferred
Agent_Inference
customer_acquisition_metric
No customer acquisition cost; captive regulated monopoly; unit economics at 10x scale would pressure AER to cut allowed returns
Inferred
Agent_Inference
network_effect_present
No demand-side network effects; physical grid utility; durability of monopoly position stems from regulatory barriers not network effects
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for physical grid assets; AI can optimise maintenance scheduling (5–8% opex saving) but cannot replace poles/wires
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession-resistant; electricity/gas distribution is essential service; volume dip <5% in deep recession; revenue largely fixed by AER
Inferred
Agent_Inference
customer_segment_primary
Residential electricity and gas consumers in Victoria (~1.8M connections); no single customer >1% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial network users (large embedded networks, retailers); concentration low; top 10 retailers represent ~40% of throughput
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 ~A$900M–1.1B p.a.; predominantly growth/replacement of regulated assets; limited legacy-to-future reallocation — all capex RAB-accretive
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
SPN.AX (delisted 2022 following Brookfield/consortium acquisition at A$2.915/share; no longer publicly traded on ASX)
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.