debt_leverage_profile
Net debt ~NZD 2.8B; net debt/EBITDA ~4–5x; 20% rate rise increases annual interest ~NZD 56M, compressing FFO by ~8–10%
Inferred
Agent_Inference
interest_rate_sensitivity
~60–70% of debt floating or refinancing within 2 years; 20% rate rise reduces distributable earnings by ~NZD 50–60M annually
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
Renewable energy equipment (wind/solar components via China-dominated supply chains); US-Australia defence infrastructure procurement corridors
Inferred
Agent_Inference
international_expansion_readiness
NZD, AUD, USD exposure dominant; AUD/NZD correlation reduces diversification benefit; USD-denominated CDC assets offer partial hedge
Inferred
Agent_Inference
geographic_footprint
Primary markets: New Zealand (NZD), Australia (AUD), USA (USD); AUD and NZD correlated commodity currencies with devaluation risk vs USD
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
CDC Data Centres represents significant concentration; renewable energy O&M reliant on OEM-specific turbine/panel service agreements
Inferred
Agent_Inference
business_model_type_primary
Infrastructure owner/operator — physical assets; cloud termination risk is low for core operations but CDC data centres carry meaningful cloud-adjacency risk
Inferred
Agent_Inference
business_model_type_secondary
Long-term contracted essential services (energy, data, healthcare); not cloud-native; 30-day cloud termination would disrupt CDC tenant operations moderately
Inferred
Agent_Inference
switching_cost_profile
Minimal cloud API coupling; operational technology in energy grids and data centres uses proprietary SCADA/BMS systems with high switching costs
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from regulated utility and infrastructure services, not passive profit-sharing instruments; no token or investment contract structure
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
CDC Data Centres subject to Australian Privacy Act and US data sovereignty rules; GDPR exposure limited but growing with European investor base
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; dominant positions in NZ renewable generation and Australian data centre colocation attract Commerce Commission and ACCC 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
~80–85% recurring via long-term contracts (15–25 year PPAs, data centre leases, utility tariffs); ~15–20% transactional or shorter-term
Inferred
Agent_Inference
monetization_vector
Contracted capacity payments, regulated utility tariffs, long-term data centre colocation leases, and government-backed healthcare service fees
Inferred
Agent_Inference
pricing_architecture
Cost-of-service regulated or CPI-linked contract structures; inflation pass-through embedded; limited downside but capped upside in rate reset cycles
Inferred
Agent_Inference
pricing_power_rating
High in regulated/contracted segments; CPI escalators in most long-term contracts provide durable real pricing power; 7/10
Inferred
Agent_Inference
target_gross_margin_bracket
Portfolio gross margin ~40–55%; data centres and renewables at higher end; healthcare and legacy assets dilute blended margin
Inferred
Agent_Inference
churn_vulnerability_index
Minimal free-rider risk; essential infrastructure with no substitutable alternatives; churn structurally near zero given long-term contracted base
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely sublinear to headcount; capital-intensive model means doubling revenue requires capital, not proportional staff increases
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital, not labour; incremental EBITDA margins on new contracted capacity are high once infrastructure is built
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; compliance drift risk is regulatory (energy, telecoms, healthcare) rather than franchise network-specific; not applicable
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC irrelevant — growth via M&A and greenfield development; key unit economics are IRR on invested capital, typically targeting 10–13%
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; some platform density benefit in CDC data centres (ecosystem of cloud anchors attracts tenants); not a primary value driver
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for physical infrastructure; AI tailwind for CDC data centre demand; energy grid operations partially automatable but capital-intensive
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession-resistant; essential services (electricity, data, healthcare) with regulated or contracted revenues; demand largely inelastic
Inferred
Agent_Inference
customer_segment_primary
Governments and regulated utilities (NZ/Australian electricity networks, defence, public health systems)
Inferred
Agent_Inference
customer_segment_secondary
Enterprise and hyperscale data centre tenants (CDC); commercial and industrial electricity off-takers via long-term PPAs
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
Active reallocation: divesting legacy assets (e.g. Perth Energy, partial CDC stake monetisation) to fund renewables and digital infrastructure growth
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
IFT.NZ / IFT.ASX; trades at ~15–20% NAV discount reflecting leverage concerns and rate sensitivity, not primarily commodity supply risk
Inferred
Agent_Inference