Booz Allen Hamilton Holding Corporation
1ad032e8-f6c8-4602-aa2a-5dfbc17dd8e7
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T22:29:19.393212+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-039 Public Private Partnership HOW High
Direct: customer_segment_primary=U.S. federal government defense and intelligence agencies (DoD, NSA, DHS) representing ~70%+ of total revenue — extreme concentration risk offset by contractual stability
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Public Private Partnership (SG-039) HOW provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 18 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
3.58x Total Debt / Equity (High leverage)
High
SEC-XBRL
interest_rate_sensitivity
A 200bps rate increase adds ~$40-50M annual interest expense given ~$3.2B total debt; manageable but pressures EPS by ~5-7%
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
U.S. cleared-facility labor market concentration and sole-source hardware suppliers (semiconductors via Taiwan Strait) are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Minimal sovereign currency devaluation risk; ~95% of revenue is USD-denominated U.S. government contracts with negligible international FX exposure
Inferred
Agent_Inference
geographic_footprint
Overwhelmingly U.S.-domestic (~95%+ revenue); international offices in UAE, Qatar, and select allied nations represent <5% revenue with limited FX 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 operational input; cloud infrastructure split across AWS/Azure/GCP with no non-substitutable single-source dependency identified
Inferred
Agent_Inference
business_model_type_primary
Government professional services and consulting; cloud termination would cause significant operational disruption but classified on-premise systems provide partial continuity buffer
Inferred
Agent_Inference
business_model_type_secondary
Analytics and technology solutions delivery; cloud termination risk partially mitigated by hybrid on-premise government-mandated classified infrastructure
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Booz Allen delivers services via people and proprietary methodologies rather than being dependent on third-party API ecosystems
Inferred
Agent_Inference
howey_test_risk_index
Howey Test not applicable; revenue model is professional services contracts with the U.S. government — no investment contract or profit-sharing security structure
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure from international offices; high CCPA awareness given defense work; primary risk is classified data handling under NIST/CMMC frameworks, not consumer privacy law
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in a competitive government contracting market alongside Leidos, SAIC, Accenture Federal; no dominant market share 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
~90%+ recurring via multi-year government contracts and IDIQ vehicles; transactional task orders represent minimal one-off revenue exposure
Inferred
Agent_Inference
monetization_vector
Labor-hour billing and cost-plus/fixed-price government contracts; revenue directly tied to billable headcount and contract task order execution
Inferred
Agent_Inference
pricing_architecture
Cost-plus and fixed-price government contracts; limited pricing flexibility due to FAR regulations; stress scenario of budget sequestration compresses margins 150-200bps
Inferred
Agent_Inference
pricing_power_rating
Moderate; constrained by federal procurement rules but partially offset by sole-source awards and specialized cleared-workforce scarcity commanding labor premiums
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~25-28%; EBITDA margin ~10-11%; typical for professional services government contractor with high labor cost base
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; services are billed and government-audited; churn risk is contract non-renewal (~15-20% of contracts re-compete annually)
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is nearly headcount-linear; doubling revenue requires near-doubling of cleared technical staff — a significant constraint given security clearance pipeline bottlenecks
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear only at the margin via AI/automation tools; structurally a labor-intensive model with marginal cost of growth primarily driven by cleared FTE hiring costs
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Booz Allen is not a franchise model — operates as a unified professional services firm without franchisee network compliance drift risk
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC economics deteriorate due to cleared workforce scarcity; BD cost per contract win averages ~2-4% of contract value; scale pressures win rates
Inferred
Agent_Inference
network_effect_present
Weak network effects; value derives from clearance-holding talent density and institutional relationships, not user-network growth — effects are linear not exponential
Inferred
Agent_Inference
asset_efficiency_ratio
12.1% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession-resistant; ~97% U.S. federal government revenue is discretionary-spending-insulated, with defense/intel budgets historically counter-cyclical
Inferred
Agent_Inference
customer_segment_primary
U.S. federal government defense and intelligence agencies (DoD, NSA, DHS) representing ~70%+ of total revenue — extreme concentration risk offset by contractual stability
Inferred
Agent_Inference
customer_segment_secondary
U.S. civilian federal agencies (HHS, VA, DHS civilian) and select international government clients representing ~25-30% of revenue with similar contractual stability profile
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
0.7% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001443646
High
SEC-EDGAR
ticker
BAH
High
SEC-EDGAR

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-24no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.