debt_leverage_profile
0.00x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
20bps rate rise adds ~$8-12M annual interest cost on ~$2.8B gross debt; EBITDA coverage remains adequate above 4x but free cash flow narrows modestly
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
Middle East infrastructure project corridors (UAE/Saudi Arabia) and Indo-Pacific logistics hubs (Australia/Hong Kong) represent top geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
GBP, AUD, and AED/Middle East currencies pose devaluation risk; ~40% of revenue is international with GBP most volatile post-Brexit
Inferred
Agent_Inference
geographic_footprint
UK (GBP exposure ~15% revenue), Australia (AUD ~12%), Middle East (partially USD-pegged, lower risk); GBP and AUD devaluation most impactful
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% of input costs; AECOM is a professional services firm with labor as primary input, limiting hard vendor lock-in
Inferred
Agent_Inference
business_model_type_primary
Minimal operational disruption; AECOM's core engineering/consulting operations run on enterprise software (Oracle, SAP) not single cloud-dependent workflows
Inferred
Agent_Inference
business_model_type_secondary
Project delivery and design tools (Autodesk, Bentley) are desktop/hybrid-deployed; cloud termination causes inconvenience, not existential failure
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; AECOM uses standard enterprise platforms (Oracle ERP, Microsoft 365) with no proprietary API dependencies that create lock-in
Inferred
Agent_Inference
howey_test_risk_index
Negligible Howey Test risk; revenue derives from fee-for-service engineering contracts, not investment schemes or profit-sharing arrangements
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR/CCPA exposure; handles employee and project client data across 50+ countries, requires localized data handling but no consumer data monetization
Inferred
Agent_Inference
antitrust_exposure_flag
Low-to-moderate; operates in fragmented $1T+ global infrastructure market alongside WSP, Jacobs, Stantec; no dominant market position triggering scrutiny
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
~75-80% recurring via multi-year government/infrastructure contracts and NSS retainer agreements; ~20-25% transactional project-based work
Inferred
Agent_Inference
monetization_vector
Fee-for-service on cost-plus and lump-sum infrastructure contracts; recurring NSS program management retainers contribute stable annuity-like revenue
Inferred
Agent_Inference
pricing_architecture
Cost-plus and time-and-materials contracts provide inflation pass-through; lump-sum fixed-price contracts (~25% of mix) carry margin compression risk in cost spikes
Inferred
Agent_Inference
pricing_power_rating
Moderate (6/10); government clients constrain pricing but long-term contracts with escalation clauses and specialized expertise support above-inflation fee increases
Inferred
Agent_Inference
target_gross_margin_bracket
7.5% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; services are bespoke and contracted; client churn is low given switching costs of re-procuring major infrastructure program managers
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear; professional services model requires proportional staff additions; operating leverage limited to G&A and utilization rate improvements
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; doubling revenue requires near-doubling billable headcount; sublinear only at G&A layer (~5-8% efficiency gain at scale)
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; AECOM is not a franchise model but operates decentralized business units with centralized compliance oversight across geographies
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC rises due to limited RFP pipeline concentration; win rates on mega-projects ($1B+) compress as competition intensifies; unit economics dilute modestly
Inferred
Agent_Inference
network_effect_present
Weak network effects; reputation and past-performance credentials create compounding contract win advantages but no platform-style user-growth flywheel
Inferred
Agent_Inference
asset_efficiency_ratio
7.5% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 2 (moderate resilience); ~60% government-backed infrastructure revenue is recession-resistant; private sector and commercial real estate segments are cyclically exposed
Inferred
Agent_Inference
customer_segment_primary
U.S. federal and state/local governments (~55% of revenue); concentration risk moderate as no single agency exceeds ~10% of total revenue
Inferred
Agent_Inference
customer_segment_secondary
International government and quasi-government infrastructure clients (UK, Australia, Middle East); private sector commercial and industrial clients (~20%)
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
0.8% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000868857
High
SEC-EDGAR
ticker
ACM
High
SEC-EDGAR