Arcosa, Inc.
10e218d534d54b819da2b3139bb8a4e0
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T11:22:28.938978+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

Business Model Archetype Classification

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

SG-049 Subscription VALUE High
Direct: monetization_vector contains [B2B product sales: aggregates, construction products, engineered structures; revenue driven by volume x price per unit; no subscription or platform monetization]; revenue_model_type=Predominantly transactional (~85%); some multi-year infrastructure contracts (~15%); limited true recurring subscription revenue — highly project/cycle dependent
SG-009
Customer Loyalty
WHO High
SG-014
Flat Rate
VALUE High
SG-037
Product as a Service
VALUE High
SG-039
Public Private Partnership
HOW High
SG-036
Product to Capability
WHAT High

Hybrid Combination

Subscription (SG-049) VALUE provides the core structure, combined with Customer Loyalty (SG-009) + Flat Rate (SG-014) + Product as a Service (SG-037) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 6 Medium: 15 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~$1.5B, leverage ~3x EBITDA; 20% rate rise adds ~$30M annual interest expense on floating-rate portion, manageable but compresses margins ~50bps
Inferred
Agent_Inference
interest_rate_sensitivity
~30-40% of debt estimated floating-rate; 20% rate increase (~100bps) raises annual interest cost by $25-35M, reducing EPS by roughly $0.35-0.45
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
Top chokepoints: (1) Gulf Coast sand/aggregate sourcing disrupted by hurricane risk; (2) Mexico border crossings for construction materials amid tariff/trade tensions
Inferred
Agent_Inference
international_expansion_readiness
Arcosa is ~95% U.S.-revenue; minimal sovereign currency devaluation exposure with limited Mexico operations (MXN risk) and negligible other international presence
Inferred
Agent_Inference
geographic_footprint
Primarily U.S.-based (TX, SE, Midwest); Mexico secondary market with MXN exposure; currency devaluation risk is low given <5% international revenue share
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 costs; aggregates and steel inputs sourced from multiple suppliers, limiting single-source lock-in risk materially
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy industrial manufacturer/infrastructure products; minimal cloud dependency — operations run on traditional ERP; cloud termination would cause disruption but not existential failure
Inferred
Agent_Inference
business_model_type_secondary
Back-office and logistics software cloud-dependent; 30-day termination notice would require emergency on-premise migration, causing 2-4 weeks operational disruption estimated
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Arcosa is not a software-driven business — ERP and operational systems use standard industrial platforms (SAP-type), easily migrated over 60-90 days
Inferred
Agent_Inference
howey_test_risk_index
Not applicable — Arcosa's revenue model (selling construction products, engineered structures, aggregates) is standard B2B commerce; Howey Test risk is effectively zero
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; Arcosa's customers are primarily B2B industrial buyers with limited consumer PII, reducing compliance liability substantially below peer software firms
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate risk in regional aggregates markets where Arcosa has acquired local near-monopoly positions; DOJ/FTC scrutiny possible on further bolt-on acquisitions in concentrated geographies
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 transactional (~85%); some multi-year infrastructure contracts (~15%); limited true recurring subscription revenue — highly project/cycle dependent
Inferred
Agent_Inference
monetization_vector
B2B product sales: aggregates, construction products, engineered structures; revenue driven by volume x price per unit; no subscription or platform monetization
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing with market-rate adjustments; pricing power moderate — aggregates tied to regional spot markets; engineered structures have more contractual price lock-in
Inferred
Agent_Inference
pricing_power_rating
6/10 — regional aggregate near-monopolies support local pricing power; broader construction products segment faces competitive pricing pressure from national suppliers
Inferred
Agent_Inference
target_gross_margin_bracket
22.4% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; all products are physical goods requiring purchase; customer churn tied to construction cycle downturns rather than product substitution or free alternatives
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; quarry/plant operations require proportional labor scaling; limited software leverage means doubling revenue requires ~70-80% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth — capacity expansion requires capital-intensive new quarries, plants, or acquisitions; not a scalable platform business; EBITDA margins improve modestly at scale
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable — Arcosa does not operate a franchise model; business is direct-owned manufacturing and mining operations with standard regulatory compliance requirements
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC rises sharply as greenfield aggregate markets saturate; unit economics likely compress 15-20% due to geographic expansion into less-favorable geology and logistics costs
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; construction products are commodities — value does not increase with additional users; competitive moat comes from geography and permits, not network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
4.8% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 3 (cyclical) — revenues strongly correlated with construction spending; infrastructure/government contracts provide partial buffer (~40% of mix) but private construction exposure creates recession vulnerability
Inferred
Agent_Inference
customer_segment_primary
Infrastructure/government contractors and transportation agencies (~40% revenue); relatively stable but subject to federal/state budget cycles and infrastructure bill funding timelines
Inferred
Agent_Inference
customer_segment_secondary
Private construction contractors and industrial buyers (~60% revenue); high cyclicality, concentrated among large regional contractors — top 10 customers likely represent 20-30% of segment revenue
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
5.7% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001739445
High
SEC-EDGAR
ticker
ACA
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.