EXPONENT INC
fe7d64e9927a4d2399b2756b4efd165f
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-23T15:44:36.567430+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

Business Model Archetype Classification

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

SG-036 Product to Capability WHAT High
Direct: revenue_model_type=Predominantly project-based (transactional); estimated 60-70% project fees, 30-40% retainer/recurring engagements with repeat clients.. Corroborated: business_model_type_primary=Professional services / expert consulting — cloud disruption has minimal impact; work product is delivered via human expertise, not cloud-dependent SaaS.
SG-010
Digitization
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Digitization (SG-010) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Near-zero debt; net cash position ~$200M+. A 20% rate rise has negligible P&L impact — no material floating-rate obligations.
Inferred
Agent_Inference
interest_rate_sensitivity
Minimal; cash-rich balance sheet benefits marginally from higher yields on short-term investments. No refinancing risk.
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; pure professional services firm with no physical supply chain or geopolitical chokepoints.
Inferred
Agent_Inference
international_expansion_readiness
Limited international revenue (~10-15% of total); modest FX exposure primarily in GBP and EUR; no major sovereign devaluation risk.
Inferred
Agent_Inference
geographic_footprint
Predominantly US-based (~85-90% revenue); small EU and Asia-Pacific presence; low sovereign currency devaluation exposure overall.
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; primary inputs are human capital and standard office/lab infrastructure.
Inferred
Agent_Inference
business_model_type_primary
Professional services / expert consulting — cloud disruption has minimal impact; work product is delivered via human expertise, not cloud-dependent SaaS.
Inferred
Agent_Inference
business_model_type_secondary
Litigation support and regulatory consulting — largely document and people-driven, not cloud-infrastructure-dependent.
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Exponent uses standard productivity and data analysis tools (Python, MATLAB, proprietary databases) with no critical third-party API dependency.
Inferred
Agent_Inference
howey_test_risk_index
Not applicable; revenue model is fee-for-service professional consulting — no investment contract, pooled funds, or profit-from-others'-efforts structure.
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate; handles sensitive client litigation and regulatory data subject to confidentiality obligations; GDPR exposure limited by small EU footprint.
Inferred
Agent_Inference
antitrust_exposure_flag
Low; fragmented expert consulting market with no dominant market share; no pricing coordination concerns identified.
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
Predominantly project-based (transactional); estimated 60-70% project fees, 30-40% retainer/recurring engagements with repeat clients.
Inferred
Agent_Inference
monetization_vector
Billable hours and project fees billed at premium rates ($400-$800+/hr equivalent blended); expert witness and regulatory retainer supplements.
Inferred
Agent_Inference
pricing_architecture
Time-and-materials plus fixed-fee projects; pricing power tied to expert scarcity. Rate compression risk if recession reduces litigation volume.
Inferred
Agent_Inference
pricing_power_rating
High; expert witnesses and specialized engineers command inelastic pricing in high-stakes litigation — clients cannot easily substitute.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins ~35-40% after compensation; EBITDA margins ~20-25%; consistent with premium professional services benchmarks.
Inferred
Agent_Inference
churn_vulnerability_index
Minimal free-rider risk; proprietary expert knowledge is non-replicable. Client retention high but engagement-based, not subscription.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is nearly headcount-linear; doubling revenue requires ~proportional expert hiring. Limited operating leverage in short term.
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; each incremental revenue dollar requires additional senior expert FTE. Scalability constrained by talent pipeline.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Exponent is not a franchise business.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, referral-based CAC remains low but talent acquisition bottlenecks intensify; expert hiring cost rises with credential scarcity.
Inferred
Agent_Inference
network_effect_present
Weak network effects; reputation and expert depth create compounding brand value but no direct user-to-user network effect.
Inferred
Agent_Inference
asset_efficiency_ratio
18.9% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate-high resilience; litigation and regulatory work countercyclical, but product liability and insurance-driven work can slow with capex cuts.
Inferred
Agent_Inference
customer_segment_primary
Large corporations facing product liability, regulatory investigation, or complex litigation — Fortune 500 legal and risk departments.
Inferred
Agent_Inference
customer_segment_secondary
Government agencies, insurance carriers, and law firms requiring independent technical expert testimony and engineering analysis.
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
1.6% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000851520
High
SEC-EDGAR
ticker
EXPO
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_03PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-23no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.