debt_leverage_profile
Net debt ~$1.5B, net debt/EBITDA ~2.5x; a 200bps rate rise adds ~$30M annual interest cost on floating tranches
Inferred
Agent_Inference
interest_rate_sensitivity
~40% of debt is floating-rate; 200bps increase raises annual interest expense by an estimated $25–35M, pressuring free cash flow
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Brazil (political/permitting risk at Aurizona/RDM) and Mexico (Camino Rojo) — both subject to resource-nationalist policy shifts
Inferred
Agent_Inference
international_expansion_readiness
Revenues exposed to BRL (Brazil), MXN (Mexico), CAD (Canada); BRL and MXN carry meaningful devaluation risk vs. USD gold pricing
Inferred
Agent_Inference
geographic_footprint
Operations in Brazil, Mexico, Canada, USA, Guyana, Suriname; BRL and MXN devaluation partially offsets local operating costs, providing natural hedge
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Crude Oil, Natural Gas, Coal, Refined Petroleum Products, Uranium, Steel (equipment); geopolitical: OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30% of input costs; mining consumables (cyanide, fuel, explosives) are multi-sourced but regionally concentrated suppliers exist
Inferred
Agent_Inference
business_model_type_primary
Physical gold mining and processing — no cloud infrastructure dependency; cloud termination would affect back-office systems only, not production
Inferred
Agent_Inference
business_model_type_secondary
Asset-heavy primary producer; secondary digital/administrative systems use cloud but are non-critical to core mine operations
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; operations rely on ERP (SAP/Oracle) and mine planning software (Deswik/Datamine) with moderate switching costs
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model is commodity gold sales — not a security, investment contract, or profit-sharing scheme
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited GDPR/CCPA exposure; minimal consumer data collection — primary compliance risk is employee data in Brazil and Mexico jurisdictions
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; gold market is globally fragmented with no single producer holding meaningful price-setting power
Inferred
Agent_Inference
regulatory_exposure_profile
High burden; regimes: EPA, FERC, DOE, CFTC, OSHA, SEC; Accelerating emissions mandates and methane rules threaten capex economics.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~100% transactional — gold spot-price sales with no recurring subscription or long-term fixed-price offtake contracts disclosed
Inferred
Agent_Inference
monetization_vector
Spot and near-spot gold sales to refiners and bullion banks; revenue entirely tied to production volume × realized gold price
Inferred
Agent_Inference
pricing_architecture
Price-taker model; gold sold at spot ± small premium; no pricing power — stress scenario is a $200/oz gold price decline reducing EBITDA ~$200M+
Inferred
Agent_Inference
pricing_power_rating
Zero independent pricing power; fully commodity-price dependent; partially offset by cost discipline targeting AISC of ~$1,250–1,400/oz
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~35–50% depending on gold price; at $2,000/oz spot and $1,350/oz AISC, mine-level margin ~32%; highly price-sensitive
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider or churn risk applicable; gold buyers are arms-length commodity purchasers with no loyalty or subscription dynamic
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; new mine production adds operational workers but corporate overhead scales modestly — partially linear at mine level
Inferred
Agent_Inference
marginal_cost_of_growth
Growth requires significant capital (new mines/expansions) but incremental production at existing mines has lower marginal cost; not headcount-linear
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; N/A — operational compliance risk exists at mine permit/environmental level in each jurisdiction instead
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, gold market depth is sufficient; CAC is effectively zero — refiners/bullion banks compete to purchase output
Inferred
Agent_Inference
network_effect_present
No network effects; gold commodity business — value does not increase with more producers or buyers in Equinox's specific network
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low for core mining; AI applicable to exploration targeting and processing optimization — modest efficiency upside only
Inferred
Agent_Inference
recession_resistance_tier
Counter-cyclical; gold demand typically rises in recessions as safe-haven asset — Equinox benefits from gold price appreciation during downturns
Inferred
Agent_Inference
customer_segment_primary
Bullion banks and gold refiners (e.g., RCM, LBMA-approved refiners) — concentrated buyer pool but deep liquid market prevents true concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Streaming/royalty companies (Sandbox deal) providing upfront capital in exchange for gold delivery — represent a secondary structured revenue relationship
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", "19-0000 Life, Physical, and Social Science 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", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.33 (HIL — ~33% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
null
Inferred
Agent_Inference
sec_cik
0001756607
High
SEC-EDGAR
ticker
EQX
High
SEC-EDGAR