ALTEX INDUSTRIES INC
f6effccd7da9443b81208b3310456eb7
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T10:06:12.321825+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-036 Product to Capability WHAT High
Direct: revenue_model_type=Predominantly transactional (project/order-based); recurring revenue from service contracts estimated at 15–25% of total; mostly one-time industrial sales
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
Small industrial manufacturer; estimated debt-to-equity ~0.4–0.8x; 20% rate rise adds ~$0.5–1M annual interest expense, modest but manageable
Inferred
Agent_Inference
interest_rate_sensitivity
Moderate sensitivity; floating-rate industrial credit lines mean 20% rate increase compresses net margins by estimated 1–2 percentage points
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
1) Taiwan/China semiconductor/electronics components; 2) Gulf of Mexico energy inputs for industrial materials manufacturing
Inferred
Agent_Inference
international_expansion_readiness
Primarily US-domestic revenue base; limited sovereign currency devaluation exposure; international sales estimated under 15% of total revenue
Inferred
Agent_Inference
geographic_footprint
Predominantly US operations (Texas/Gulf Coast); minimal direct exposure to peso, euro, or yen devaluation; low multi-currency risk
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Crude Oil, Natural Gas, Coal, Refined Petroleum Products, Uranium, Steel (equipment); geopolitical: OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Likely dependency on specialty raw material or component suppliers; single-source risk possible but not publicly confirmed above 30% threshold
Inferred
Agent_Inference
business_model_type_primary
Industrial products manufacturer/distributor; not cloud-dependent; AWS/GCP/Azure termination would affect back-office only, not core operations
Inferred
Agent_Inference
business_model_type_secondary
B2B industrial sales and distribution; secondary model may include maintenance/service contracts for manufactured equipment
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; traditional industrial manufacturer with limited SaaS/API integration; switching costs driven by equipment compatibility, not software lock-in
Inferred
Agent_Inference
howey_test_risk_index
Revenue model is product/service sales; no investment contract structure; Howey Test risk effectively zero — not a securities offering
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; industrial B2B company with limited consumer PII collection; compliance burden minimal relative to tech peers
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in fragmented industrial manufacturing/distribution market without dominant market share triggering regulatory scrutiny
Inferred
Agent_Inference
regulatory_exposure_profile
High burden; regimes: EPA, FERC, DOE, CFTC, OSHA, SEC; Accelerating emissions mandates and methane rules threaten capex economics.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Predominantly transactional (project/order-based); recurring revenue from service contracts estimated at 15–25% of total; mostly one-time industrial sales
Inferred
Agent_Inference
monetization_vector
Per-unit product sales and project-based contracts; supplemented by aftermarket parts and maintenance service revenue
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing typical for industrial manufacturers; vulnerable to raw material cost spikes but partially hedged via contract pass-through clauses
Inferred
Agent_Inference
pricing_power_rating
Moderate; pricing power constrained by commodity input costs and competitive bidding environment; limited brand premium in industrial segments
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated gross margin 25–40% typical for industrial manufacturers/distributors; higher if proprietary products dominate mix
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; physical product/service model requires purchase; repeat customer retention tied to relationship and product performance
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; manufacturing and field service require proportional labor scaling; limited automation leverage identified
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; additional revenue requires proportional increases in labor, materials, and equipment — not a scalable software model
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
B2B industrial CAC likely $5K–$50K per account; at 10x scale, sales force and bid infrastructure costs grow proportionally, compressing unit economics
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; industrial product value does not increase with user base size; competitive moat is operational, not network-based
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low-to-moderate; physical manufacturing and installation services are human-dependent; back-office automation possible but not transformative
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession vulnerability; tied to industrial capex cycles; oil/gas or defense exposure may provide partial counter-cyclical buffer
Inferred
Agent_Inference
customer_segment_primary
Industrial/energy sector operators (oil & gas, petrochemical, utilities); likely top 5 customers represent 30–50% of revenue — concentration risk present
Inferred
Agent_Inference
customer_segment_secondary
Government/defense contractors or commercial construction; secondary segment provides modest diversification from energy cycle volatility
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", "19-0000 Life, Physical, and Social Science Occupations", "23-0000 Legal 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", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.33 (HIL — ~33% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital likely allocated to maintaining legacy manufacturing equipment; limited evidence of strategic reallocation toward digitization or future-state infrastructure
Inferred
Agent_Inference
sec_cik
0000775057
High
SEC-EDGAR
ticker
ALTX
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_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01FAIL2026-07-211 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.