ARGAN INC
6109ff2f07574639849ca6632b822ecd
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T22:23:15.230891+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=~95% transactional project-based revenue via fixed-price EPC contracts; minimal recurring/retainer revenue, making backlog visibility the key revenue predictor.
SG-049
Subscription
VALUE High

Hybrid Combination

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

55 Archetypes Evaluated High: 2 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Argan Inc. carries minimal long-term debt; net cash position ~$200M+ provides strong buffer against 200bps rate rise with negligible interest expense impact.
Inferred
Agent_Inference
interest_rate_sensitivity
Low sensitivity; Argan holds net cash, so rising rates modestly benefit interest income rather than increasing debt service costs.
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
1) Gas turbine components concentrated in EU/Asia manufacturing corridors; 2) Electrical switchgear reliant on Taiwan/South Korea semiconductor supply chains.
Inferred
Agent_Inference
international_expansion_readiness
Argan operates almost exclusively in the US; minimal sovereign currency devaluation exposure as international revenue is negligible (<5% of total).
Inferred
Agent_Inference
geographic_footprint
Predominantly US-based EPC contractor; revenue derived from domestic power plant construction projects with no material foreign currency revenue exposure.
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
Moderate; Argan sources gas turbines primarily from GE and Siemens, with GE potentially representing >30% of major equipment input cost on large projects.
Inferred
Agent_Inference
business_model_type_primary
EPC (Engineering, Procurement & Construction) fixed-price contractor for natural gas and renewable power plants; project-based, not cloud-dependent.
Inferred
Agent_Inference
business_model_type_secondary
Cloud infrastructure termination poses near-zero operational risk; Argan's business model is field-based construction, not software or data-platform dependent.
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; Argan is a physical construction business with no material software API dependencies driving core revenue delivery.
Inferred
Agent_Inference
howey_test_risk_index
Very low Howey Test risk; revenue derived from fixed-price construction contracts — clearly a service business, not an investment scheme or token offering.
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; Argan handles limited personal data (employee/contractor records), no consumer data platform, minimal regulatory compliance burden.
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in fragmented EPC market with multiple large competitors (Fluor, Bechtel, Black & Veatch); no dominant market position.
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
~95% transactional project-based revenue via fixed-price EPC contracts; minimal recurring/retainer revenue, making backlog visibility the key revenue predictor.
Inferred
Agent_Inference
monetization_vector
Primary monetization via fixed-price EPC contract margins (typically 8–12% net) on large power generation infrastructure projects worth $200M–$1B+ each.
Inferred
Agent_Inference
pricing_architecture
Fixed-price EPC contracts expose Argan to cost overrun risk; materials inflation or labor shortages can compress margins significantly on locked bids.
Inferred
Agent_Inference
pricing_power_rating
Moderate; strong reputation in gas-fired power EPC provides pricing premium, but competitive bidding process limits unilateral pricing power. Rating: 5.5/10.
Inferred
Agent_Inference
target_gross_margin_bracket
20.5% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider leakage risk; project-based B2B contracts require direct payment. Customer 'churn' manifests as project award cycles, not subscription cancellation.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear for field labor but sublinear for corporate overhead; doubling revenue requires significant craft labor scaling.
Inferred
Agent_Inference
marginal_cost_of_growth
Moderate marginal cost of growth; subcontracting model limits fixed headcount expansion, but each new large project requires dedicated project management teams.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Argan does not operate a franchise network. All operations are direct-delivery EPC construction under corporate control.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC efficiency improves via reputation/repeat clients, but project pipeline is capacity-constrained by skilled project management availability.
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; EPC construction is a linear service business — additional customers/projects do not enhance value for existing clients.
Inferred
Agent_Inference
asset_efficiency_ratio
13.5% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate recession resistance; power infrastructure is essential but capital expenditure-dependent. Utility/grid investment can slow during credit crunches. Tier 3/5.
Inferred
Agent_Inference
customer_segment_primary
Utility and independent power producers (IPPs) commissioning natural gas and renewable generation assets; ~70–80% of Argan's Gemma Power Systems revenue.
Inferred
Agent_Inference
customer_segment_secondary
Industrial and data center clients seeking behind-the-meter power solutions; growing segment driven by AI infrastructure buildout increasing power demand.
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
0.4% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0000100591
High
SEC-EDGAR
ticker
AGX
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.