Laredo Oil, Inc.
5d3f5d064150461eaa852aa6c138c748
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T15:57:31.611621+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-049 Subscription VALUE High
Direct: monetization_vector contains [Commodity price-per-barrel monetization; revenue entirely dependent on production volumes and spot oil prices with no subscription or retainer component]; revenue_model_type=Effectively 0% recurring contracted revenue; nearly 100% transactional spot commodity sales tied to prevailing WTI prices
SG-009
Customer Loyalty
WHO High
SG-014
Flat Rate
VALUE High
SG-037
Product as a Service
VALUE High
SG-024
Lock-in
WHO 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
Micro-cap exploration-stage company with minimal revenue; high leverage risk; 20% rate rise would likely breach covenants or force equity dilution
Inferred
Agent_Inference
interest_rate_sensitivity
Extremely high sensitivity; floating-rate or short-term debt on near-zero revenue base means 20% rate increase could double interest burden relative to operating cash flow
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
Permian Basin/West Texas oilfield services concentration; Gulf Coast refining/export infrastructure as secondary chokepoint
Inferred
Agent_Inference
international_expansion_readiness
Negligible; Laredo Oil operates domestically in Montana/Texas; no material international revenue markets, so sovereign currency devaluation exposure is effectively zero
Inferred
Agent_Inference
geographic_footprint
Domestic-only footprint in Montana and Texas; no international revenue; currency devaluation risk is not applicable
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
High dependency on single or few oilfield service contractors (e.g., drilling, completion crews) in thinly serviced Montana market; substitution risk is elevated
Inferred
Agent_Inference
business_model_type_primary
Asset-light exploration company; no significant cloud infrastructure dependency; operational disruption from cloud termination would be minimal and recoverable quickly
Inferred
Agent_Inference
business_model_type_secondary
Secondary operations (accounting, land management software) could migrate within 30 days; no proprietary cloud-native platform at risk
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; company uses standard oilfield and accounting software; no deep proprietary API integrations identified
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue model is commodity oil production and sale, a traditional asset-backed business, not an investment contract
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; operations are domestic B2B/commodity sales with no significant consumer data collection or EU customer base
Inferred
Agent_Inference
antitrust_exposure_flag
Negligible antitrust risk; Laredo Oil is a micro-cap with de minimis market share in highly fragmented U.S. upstream oil sector
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
Effectively 0% recurring contracted revenue; nearly 100% transactional spot commodity sales tied to prevailing WTI prices
Inferred
Agent_Inference
monetization_vector
Commodity price-per-barrel monetization; revenue entirely dependent on production volumes and spot oil prices with no subscription or retainer component
Inferred
Agent_Inference
pricing_architecture
Zero pricing power; price-taker in global oil commodity market; WTI benchmark dictates all realized revenue
Inferred
Agent_Inference
pricing_power_rating
0/10; pure commodity price-taker with no ability to differentiate or surcharge above market benchmark pricing
Inferred
Agent_Inference
target_gross_margin_bracket
100.0% Gross Margin (Premium (>60%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider risk applicable; commodity buyers transact at market; no platform or service with free-tier leakage dynamics
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital- and production-linear, not headcount-linear; doubling output requires drilling capex, not proportional admin headcount doubling
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost is dominated by drilling and completion capex (~$1–3M per well); administrative marginal cost is sublinear at scale
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Laredo Oil has no franchise network or franchisee relationships
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains near zero (commodity exchange buyers); unit economics hinge on well-level EUR and breakeven oil price (~$45–55/bbl WTI)
Inferred
Agent_Inference
network_effect_present
No network effects present; oil production is a linear asset business with no user-base compounding or platform dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low for field operations; administrative functions (geology, land) face moderate AI efficiency gains but headcount is already minimal
Inferred
Agent_Inference
recession_resistance_tier
Low recession resistance; oil demand and prices decline in recessions, directly compressing margins on a company with high fixed well costs
Inferred
Agent_Inference
customer_segment_primary
Oil refiners and commodity traders purchasing crude at spot market prices; no single named customer publicly disclosed
Inferred
Agent_Inference
customer_segment_secondary
Pipeline and midstream offtakers in Montana/Permian Basin region; concentration risk is high given limited regional buyer options for small producers
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
3.2% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001442492
High
SEC-EDGAR
ticker
LRDC
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_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-20no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.