GENCOR INDUSTRIES INC
4f87d799b60444248dce142f6d804e6a
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-23T15:23:07.911734+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
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-006 Cash Machine VALUE High
Direct: debt_leverage_profile=0.00x Total Debt / Equity (Conservative). Corroborated: revenue_model_type=Predominantly transactional (~80%+ of revenue from discrete equipment sales); recurring revenue from parts and service contracts estimated at 15-20%
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Cash Machine (SG-006) VALUE 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: 15 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
0.00x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Low sensitivity; Gencor carries minimal long-term debt, so a 200bps rate rise has negligible interest expense impact, under $500K annually
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
Steel and aggregate machinery components sourced via Midwest US suppliers; burner/combustion systems dependent on Gulf Coast petrochemical component suppliers
Inferred
Agent_Inference
international_expansion_readiness
Limited international revenue (~10-15% of sales); primary exposure in Canadian dollar and occasional emerging-market currencies; minimal hedging in place
Inferred
Agent_Inference
geographic_footprint
Predominantly US-based revenue (~85%); secondary exposure in Canada and Latin America; sovereign currency devaluation risk is low but unhedged
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; steel and burner components sourced from multiple domestic suppliers with reasonable substitutability
Inferred
Agent_Inference
business_model_type_primary
Gencor is a capital equipment manufacturer with no material cloud infrastructure dependency; account termination would cause minimal operational disruption
Inferred
Agent_Inference
business_model_type_secondary
On-premise manufacturing and engineering operations dominate; cloud services are administrative only, not mission-critical to production or delivery
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; Gencor operates traditional industrial manufacturing with no significant third-party API dependencies in core operations
Inferred
Agent_Inference
howey_test_risk_index
Very low Howey Test risk; revenue model is straightforward capital equipment sales and parts/service — no investment contract characteristics present
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; Gencor collects minimal consumer data; primary data involves B2B contracts and engineering specifications with limited personal data scope
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in competitive asphalt plant equipment market with Astec Industries as primary competitor; market share does not suggest dominance
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 (~80%+ of revenue from discrete equipment sales); recurring revenue from parts and service contracts estimated at 15-20%
Inferred
Agent_Inference
monetization_vector
Capital equipment sales (primary), aftermarket parts sales (secondary), and service/maintenance contracts (tertiary); parts/service provide margin stability
Inferred
Agent_Inference
pricing_architecture
Project-specific bid pricing for large equipment; list pricing for parts; vulnerable to steel cost inflation; limited ability to pass through rapid input cost spikes mid-contract
Inferred
Agent_Inference
pricing_power_rating
Moderate; brand reputation and product quality provide some pricing power but competitive bidding on large projects constrains margin expansion; rated 6/10
Inferred
Agent_Inference
target_gross_margin_bracket
27.5% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; equipment is proprietary and parts are brand-specific, creating natural aftermarket lock-in; low churn risk on parts revenue
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is broadly headcount-linear in manufacturing; doubling revenue requires near-doubling of production labor; limited scalability without capital investment
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; manufacturing expansion requires factory capacity, skilled labor, and raw materials — no software-like scalability; gross margins ~25-30%
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Gencor does not operate a franchise network
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would rise significantly as market is finite (asphalt plant operators); sales cycle is long and relationship-driven, limiting rapid scaling economics
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; product value does not increase with user base; installed base creates parts aftermarket but not a classic network effect
Inferred
Agent_Inference
asset_efficiency_ratio
9.1% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Cyclical Tier 3; highly sensitive to infrastructure spending cycles and state/federal highway funding; revenues can drop 30-50% in severe downturns
Inferred
Agent_Inference
customer_segment_primary
Road construction contractors and asphalt producers purchasing new hot-mix asphalt plant equipment; concentrated in US infrastructure sector
Inferred
Agent_Inference
customer_segment_secondary
Municipal and state transportation departments; international road-building contractors; existing customers purchasing replacement parts and upgrades
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
Conservative capex profile; investment focused on maintaining Orlando manufacturing facility; limited evidence of strategic reallocation toward next-gen technology infrastructure
Inferred
Agent_Inference
sec_cik
0000064472
High
SEC-EDGAR
ticker
GENC
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.