debt_leverage_profile
0.39x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Moderate impact; ~$4-6M annual interest expense increase per 100bps rise on ~$400M variable-rate debt, manageable given ~$150M EBITDA
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
Not applicable; professional services firm with minimal physical supply chain; talent acquisition from U.S. federal contractor labor market is primary constraint
Inferred
Agent_Inference
international_expansion_readiness
Limited FX exposure; ~15-20% revenue international (UK, Belgium, Canada); GBP devaluation most material risk given UK government consulting contracts
Inferred
Agent_Inference
geographic_footprint
~80% U.S. revenue; international concentrated in UK, Belgium, Canada; sovereign currency risk modest, GBP most sensitive at ~8-10% of total revenue
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 operational input; Microsoft 365 and AWS are material but substitutable; talent is the non-substitutable input, not a vendor
Inferred
Agent_Inference
business_model_type_primary
Operational disruption moderate; ICF uses cloud for internal ops and analytics platforms; 60-90 day migration feasible given largely services-based delivery model
Inferred
Agent_Inference
business_model_type_secondary
Secondary risk: client-facing digital platforms and data analytics tools hosted on cloud could face delivery gaps; workarounds via alternative providers within 90 days
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; ICF builds solutions for clients rather than depending on proprietary third-party APIs; internal tools use standard enterprise SaaS with replaceable APIs
Inferred
Agent_Inference
howey_test_risk_index
Near-zero Howey risk; revenue model is fee-for-service government and commercial consulting; no investment contract, token, or profit-sharing mechanism present
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure from EU consulting operations; CCPA exposure from California commercial work; federal contracts require FISMA/FedRAMP compliance adding complexity
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; fragmented federal IT and consulting market; no dominant market share; competes with Booz Allen, SAIC, Leidos without monopolistic positioning
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
~85-90% recurring via multi-year government contracts and retainer-based commercial engagements; ~10-15% transactional project work
Inferred
Agent_Inference
monetization_vector
Time-and-materials and cost-plus government contracts dominate; fixed-price contracts growing; commercial advisory retainers secondary monetization stream
Inferred
Agent_Inference
pricing_architecture
Cost-plus and T&M pricing on federal side limits margin compression risk; commercial fixed-fee contracts expose modest downside if scope expands; inflation pass-through limited on fixed-price
Inferred
Agent_Inference
pricing_power_rating
Moderate; federal contracts limit unilateral price increases; commercial side has stronger pricing leverage in specialized policy and digital transformation niches
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin approximately 35-40%; EBITDA margin ~9-11%; in line with mid-tier government services peers; limited upside without mix shift to higher-value analytics
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; billable services model with direct client contracting; recompete risk on expiring government contracts is primary churn vector, ~20-25% of backlog annually
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is substantially headcount-linear; ~75% of costs are labor; doubling revenue requires near-doubling of billable staff; sublinear only in platform/analytics segments
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; each incremental revenue dollar requires proportional consultant hiring; scalability limited outside technology-enabled service lines
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; ICF is not a franchise model; operates as unified corporate entity with subsidiaries
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, federal procurement bottlenecks and cleared-personnel shortages would constrain growth; CAC rises sharply; BD costs estimated 3-5% of contract value
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; consulting value is expertise and relationships, not platform scale; client base does not create compounding value for other clients
Inferred
Agent_Inference
asset_efficiency_ratio
5.5% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
High recession resistance; ~70% federal government revenue is largely counter-cyclical; commercial segment (energy, health) moderately exposed to budget cuts in downturns
Inferred
Agent_Inference
customer_segment_primary
U.S. federal government agencies (~70% of revenue); HHS, DoD, EPA, FEMA among top clients; high concentration risk if continuing resolution or sequestration occurs
Inferred
Agent_Inference
customer_segment_secondary
Commercial and international clients (~30%); energy utilities, public health organizations, state/local governments; more diversified but lower margin than federal segment
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
Low capex intensity (~1-2% of revenue); capital allocation focused on acquisitions for capability expansion and tuck-in technology firms, not legacy infrastructure modernization
Inferred
Agent_Inference
sec_cik
0001362004
High
SEC-EDGAR
ticker
ICFI
High
SEC-EDGAR