debt_leverage_profile
0.22x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Moderate-high; floating-rate credit facility exposure means 20bps rise adds ~$0.5M annual interest cost given ~$250M debt load
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
Primarily domestic US services firm; minimal physical supply chain; key chokepoints are US engineering labor market and federal procurement cycles
Inferred
Agent_Inference
international_expansion_readiness
Bowman operates ~95% domestically in USD; negligible sovereign currency devaluation exposure across international markets
Inferred
Agent_Inference
geographic_footprint
~95% US-based revenue across 80+ domestic offices; minimal international presence, effectively no material foreign currency devaluation 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 vendor exceeds 30% of input cost; primary dependencies are software tools (Autodesk, Esri) with substitutable alternatives
Inferred
Agent_Inference
business_model_type_primary
Cloud disruption risk is low; Bowman is an engineering/consulting services firm, not SaaS-dependent; project delivery is field and office-based
Inferred
Agent_Inference
business_model_type_secondary
Professional services firm with fee-for-service and contract-based secondary revenue; cloud termination would cause IT disruption but not existential operational failure
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Bowman uses standard AEC software platforms; no proprietary API dependencies critical to revenue delivery
Inferred
Agent_Inference
howey_test_risk_index
Minimal Howey Test risk; revenue model is professional engineering services fees, not investment contracts or token-based instruments
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low-moderate; primarily US government and commercial clients; limited EU/CA personal data processing; CCPA exposure modest given B2B focus
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; fragmented AEC consulting market with thousands of competitors; Bowman holds sub-2% national market share
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
~60-70% project-based retainer/multi-year government contracts; ~30-40% transactional project fees; recurring visibility moderate
Inferred
Agent_Inference
monetization_vector
Billable-hour and fixed-fee project contracts; revenue tied to engineering labor deployment across infrastructure, environmental, and real estate sectors
Inferred
Agent_Inference
pricing_architecture
Cost-plus and competitive-bid pricing; limited premium pricing power; margin compression risk if labor costs rise faster than contract rate escalators
Inferred
Agent_Inference
pricing_power_rating
Moderate; government contracts include escalation clauses but lag inflation; private sector margins more negotiable; pricing power rated 5/10
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin approximately 50-55% on net revenue basis; EBITDA margins 8-12%; typical for mid-size engineering consultancies
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; services are bespoke and billable; client retention risk tied to project completion cycles and re-bid competition
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; doubling revenue requires near-proportional billable staff increase; limited operational leverage
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; each incremental revenue dollar requires additional engineering FTE; sublinear scaling only achievable via acquisition
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Bowman operates as a unified corporate entity, not a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would rise significantly; growth depends on BD staff, RFP wins, and M&A; organic CAC efficiency does not improve materially at scale
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; AEC consulting is expertise and relationship-driven; scale provides brand credibility but not compounding network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
1.9% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate recession resistance; federal infrastructure spending provides buffer; private real estate and commercial segments are cyclically vulnerable
Inferred
Agent_Inference
customer_segment_primary
US federal, state, and local government agencies representing ~50-60% of revenue; concentration risk in public infrastructure spending cycles
Inferred
Agent_Inference
customer_segment_secondary
Private sector real estate developers, utilities, and energy companies; more cyclical but diversified across ~80 offices nationally
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
0.5% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001847590
High
SEC-EDGAR
ticker
BWMN
High
SEC-EDGAR