debt_leverage_profile
0.00x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
20bps rate rise increases annual interest expense ~$10-15M given ~$2.5B debt load; largely mitigated by ~70% fixed-rate mix
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
Skilled engineering labor in Middle East (geopolitical conflict risk) and specialized construction materials routed through Asian ports (Strait of Malacca)
Inferred
Agent_Inference
international_expansion_readiness
Top three international markets (Middle East, UK, Australia) expose AECOM to GBP, AUD, and AED devaluation; GBP and AUD are floating currencies with moderate volatility risk
Inferred
Agent_Inference
geographic_footprint
UK (GBP), Australia (AUD), Middle East (AED pegged to USD); GBP and AUD carry meaningful devaluation risk; AED peg provides stability but oil-cycle dependency remains
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
No single vendor exceeds 30% of input costs; labor is primary input and diversified globally; moderate dependency on Autodesk/Bentley for engineering software
Inferred
Agent_Inference
business_model_type_primary
Professional services firm; cloud disruption causes project delivery delays but core delivery is human-capital-based, not cloud-dependent; moderate operational disruption only
Inferred
Agent_Inference
business_model_type_secondary
B2G and B2B engineering/construction management; secondary model is program management and advisory services with recurring retainer structures
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; AECOM uses standard engineering software (Autodesk, Bentley) with substitutable alternatives; no proprietary API lock-in with clients
Inferred
Agent_Inference
howey_test_risk_index
Howey Test not applicable; AECOM sells professional services under fixed-fee and cost-plus contracts, not investment instruments; negligible securities classification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via UK/EU infrastructure projects handling personal data; CCPA exposure limited; government contract data handled under sovereign-specific security frameworks
Inferred
Agent_Inference
antitrust_exposure_flag
Low-to-moderate; engineering services market is fragmented with Jacobs, WSP, Arcadis as competitors; no dominant market share in any single geography exceeding ~10%
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
~75-80% recurring via multi-year government and infrastructure contracts; ~20-25% transactional project-based; backlog of ~$22B provides strong revenue visibility
Inferred
Agent_Inference
monetization_vector
Fee-for-service on cost-plus and fixed-price engineering contracts; revenue tied to labor hours billed at loaded rates plus subcontractor pass-throughs
Inferred
Agent_Inference
pricing_architecture
Cost-plus contracts provide inflation pass-through protection; fixed-price contracts carry margin risk in inflationary environments; government contracts include escalation clauses
Inferred
Agent_Inference
pricing_power_rating
Moderate-to-high; specialized technical expertise and incumbent relationships support pricing; government procurement processes cap upside but provide floor stability; rating 6.5/10
Inferred
Agent_Inference
target_gross_margin_bracket
7.5% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider leakage problem; services are bespoke and billable; client retention high (~85%+) due to switching costs and long project cycles; low churn vulnerability
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is near-headcount-linear; professional services model requires proportional labor addition; automation in design tools provides marginal sublinearity of ~10-15%
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of revenue growth is predominantly labor; gross margin expansion limited without significant shift to asset-light advisory; incremental margin ~15-20% on new revenue
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would rise as addressable large-project opportunities concentrate; win rates may compress; framework contract structures partially offset CAC inflation
Inferred
Agent_Inference
network_effect_present
Minimal direct network effects; reputation and reference project portfolio create indirect network value; winning marquee projects attracts talent and future bids; weak Metcalfe dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
7.5% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 2 recession resistance; government-funded infrastructure spending is counter-cyclical via stimulus packages; private-sector work (~30%) vulnerable; overall moderate resilience
Inferred
Agent_Inference
customer_segment_primary
Government and public-sector clients (federal, state, municipal) representing ~60-65% of revenue; US federal government alone ~20% of total revenue
Inferred
Agent_Inference
customer_segment_secondary
Private sector: energy, industrial, commercial real estate developers representing ~30-35% of revenue; higher margin but more cyclically sensitive than public-sector work
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
0.8% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000868857
High
SEC-EDGAR
ticker
ACM
High
SEC-EDGAR