debt_leverage_profile
0.16x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
~85% fixed-rate debt mix limits near-term sensitivity; 20bps rise on floating portion adds roughly £10-15m interest expense annually
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
US Gulf Coast manufacturing corridor (equipment OEMs) and Taiwan/East Asia semiconductor supply for telematics and fleet management hardware
Inferred
Agent_Inference
international_expansion_readiness
~87% revenue in USD, ~8% CAD, ~5% GBP; CAD and GBP devaluation vs USD creates modest translation headwind; no material sovereign default risk
Inferred
Agent_Inference
geographic_footprint
Predominantly US (Sunbelt, ~87% revenue), Canada (~8%), UK (~5%); limited EM exposure; FX translation risk but no capital controls risk
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 equipment vendor exceeds 30% of fleet spend; diversified across Caterpillar, JLG, Skyjack, Genie—substitutable but switching has lead-time friction
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy equipment rental; cloud disruption irrelevant to core operations; physical fleet management not cloud-termination-sensitive
Inferred
Agent_Inference
business_model_type_secondary
ERP and telematics (e.g., Microsoft, Trimble) support operations; 30-day cloud termination would disrupt scheduling/billing but not halt physical rental activity
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Ashtead uses internal fleet management systems and third-party telematics—no single API represents critical operational dependency
Inferred
Agent_Inference
howey_test_risk_index
Near-zero Howey Test risk; revenue model is equipment rental—a tangible service contract, not an investment in a common enterprise
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate CCPA exposure for US customer data; limited GDPR exposure given minimal EU revenue; compliance cost not material relative to EBITDA
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; US equipment rental market consolidating—Sunbelt holds ~15% share; DOJ scrutiny possible on large bolt-on acquisitions but no current investigation
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% effectively recurring via long-term rental contracts and managed fleet agreements; ~30% transactional spot rentals
Inferred
Agent_Inference
monetization_vector
Time-based equipment rental fees plus value-added services (damage waiver, fuel, delivery); ancillary services growing as share of revenue
Inferred
Agent_Inference
pricing_architecture
Day/week/month rate cards with volume discounts; inflation pass-through demonstrated 2021-2023; pricing power constrained by competitor rate discipline
Inferred
Agent_Inference
pricing_power_rating
Above-average; Ashtead raised rates 10-15% during 2022-23 inflationary cycle with limited volume loss, reflecting fleet scarcity and customer switching costs
Inferred
Agent_Inference
target_gross_margin_bracket
26.9% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
Low free-rider risk; equipment rental requires physical asset custody—no digital free-riding possible; churn driven by project completion cycles
Inferred
Agent_Inference
headcount_cost_structure
Sublinear but not dramatically so; depot network scales with volume but technology-enabled dispatch improves utilization; headcount grows ~0.6x revenue growth rate
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth capital is fleet capex (~£2.5bn/yr); incremental depot OpEx relatively low; returns on incremental capital ~15-20% ROIC
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; company-owned depot network eliminates franchise compliance drift risk entirely
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, national account sales leverage increases, CAC/LTV improves; depot density creates self-reinforcing local availability advantage
Inferred
Agent_Inference
network_effect_present
Weak network effects; larger fleet improves availability and lowers delivery radius, creating mild density-based competitive moat, not true network effect
Inferred
Agent_Inference
asset_efficiency_ratio
5.8% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 3 (cyclically sensitive); rental volumes fell 20-30% in 2008-09; partially offset by 'rental conversion' trend as customers avoid capex in downturns
Inferred
Agent_Inference
customer_segment_primary
Large construction and industrial contractors (non-residential construction ~60% of revenue); top 10 customers likely <15% of revenue—low concentration
Inferred
Agent_Inference
customer_segment_secondary
Specialty/industrial customers (oil & gas, events, utilities) and government/infrastructure projects; diversified across end-markets reducing single-sector risk
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
0.6% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000896429
Inferred
Agent_Inference
ticker
AHT (LSE); ASHTY (OTC US); trades at ~13x forward earnings—modest discount reflecting cyclical risk and UK-listing premium compression versus US rental peers
Inferred
Agent_Inference