debt_leverage_profile
2.03x Total Debt / Equity (High leverage)
High
SEC-XBRL
interest_rate_sensitivity
~$15M annual interest expense increase per 100bps rise; ~$2.4B net debt at ~5x leverage amplifies refinancing risk materially
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Latin American political instability (Venezuela, Argentina) and Sub-Saharan African border controls restrict armored logistics corridors
Inferred
Agent_Inference
international_expansion_readiness
Argentina (peso devaluation ~50%+ annually), Brazil (BRL volatility), and Mexico (MXN) create significant translation and economic exposure across ~40% of revenue
Inferred
Agent_Inference
geographic_footprint
Argentina, Brazil, and Mexico represent top international markets; combined FX translation drag estimated 3-7% on reported revenue annually
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30%; armored vehicles sourced from multiple OEMs; fuel and labor locally sourced — moderate but non-critical vendor concentration
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud dependency; core operations are physical logistics — cloud termination would disrupt back-office and monitoring systems but not primary service delivery
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital payment/cash management software (Brinks Complete) has higher cloud dependency; disruption would impair ~10-15% of revenue stream
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; proprietary route optimization and cash management platforms are internally developed; third-party API reliance is limited to payment rails
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue model is service-based physical cash logistics and management — no investment contract, profit expectation from others' efforts, or token element
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure in European operations; CCPA exposure limited; cash-handling data less sensitive than financial data but cross-border customer data flows require compliance
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; Brinks and Loomis dominate U.S./global CIT market (~60% combined share); prior DOJ scrutiny on acquisitions warrants ongoing monitoring
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~70-75% recurring via long-term service contracts (3-5 year terms); ~25-30% transactional or volume-based cash logistics fees
Inferred
Agent_Inference
monetization_vector
B2B service contracts with banks, retailers, and governments; recurring monthly fees for cash-in-transit, vault management, and ATM services
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing indexed to fuel, labor, and insurance; limited dynamic pricing; inflation pass-through clauses in ~60% of contracts provide partial protection
Inferred
Agent_Inference
pricing_power_rating
Moderate (6/10); essential service with duopoly pricing power offset by government/bank customer procurement leverage and contract renegotiation pressure
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~20-25%; EBITDA margin ~18-20%; labor and fuel as ~65% of COGS compress gross margins vs. asset-light peers
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; physical cash logistics requires contracted service — no digital equivalent enables bypass; churn driven by pricing disputes or M&A consolidation
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear; each new route, branch, or market requires incremental guards, drivers, and vault staff — near 1:1 scaling ratio
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; geographic expansion requires armored vehicle fleets, licensed personnel, and physical infrastructure — limited operating leverage at unit level
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; wholly owned operations globally — compliance risk comes from local labor law, licensing, and firearms regulations across 100+ countries
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, route density economics improve but regulatory/licensing bottlenecks and labor scarcity constrain margin expansion; CAC remains relationship/RFP-driven
Inferred
Agent_Inference
network_effect_present
Weak network effects; scale improves route density and cost efficiency but customer value does not compound with user growth — logistical scale ≠ network effect
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for physical transport; route optimization and predictive cash forecasting (Brinks Complete) face moderate AI disruption from fintech competitors
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 (moderate resilience); cash usage declines in recessions as transaction volumes fall, but essential bank/ATM servicing contracts provide floor demand
Inferred
Agent_Inference
customer_segment_primary
Financial institutions (banks, credit unions) representing ~40-50% of revenue; concentrated among top 10 banking clients globally
Inferred
Agent_Inference
customer_segment_secondary
Retail and commercial enterprises (big-box retailers, convenience stores, fuel stations) representing ~30-35% of revenue; fragmented but stable demand base
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", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance 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", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
3.9% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000078890
High
SEC-EDGAR
ticker
BCO
High
SEC-EDGAR