debt_leverage_profile
0.00x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
High sensitivity; ~$280M debt at variable rates means 200bps rise adds ~$5.6M annual interest expense, compressing already thin pre-production 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
California coastal regulatory approvals (single-point political risk) and Gulf Coast tubular/equipment suppliers concentrated post-Harvey disruptions
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Purely domestic US (Santa Barbara Channel, California); zero international revenue exposure, no sovereign currency devaluation 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
Yes; Plains All American Pipeline controls offtake infrastructure for Santa Ynez crude—non-substitutable without multi-year permitting and capital investment
Inferred
Agent_Inference
business_model_type_primary
Not applicable; Sable is an upstream oil producer with no material cloud infrastructure dependency—operations are physical asset-based
Inferred
Agent_Inference
business_model_type_secondary
null
Inferred
Agent_Inference
switching_cost_profile
Minimal API/software coupling risk; core operational risk is physical pipeline and regulatory dependency, not software vendor lock-in
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from crude oil sales is commodity spot/contract sales, not an investment contract—standard upstream E&P model
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal; operates solely in US, handles primarily operational/environmental data, limited consumer PII—GDPR not applicable, CCPA exposure negligible
Inferred
Agent_Inference
antitrust_exposure_flag
Low; small-cap single-asset producer with negligible market share in global crude markets, no pricing power to attract 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
~100% transactional; crude oil sold at spot or short-term contracts, zero recurring subscription revenue—fully commodity-price dependent
Inferred
Agent_Inference
monetization_vector
Crude oil spot and short-term contract sales tied to Brent/WTI benchmarks, volume-driven, no service or subscription component
Inferred
Agent_Inference
pricing_architecture
Price-taker model; realized price ~WTI minus quality/transport differential (~$3–5/bbl); no internal pricing power, fully market-determined
Inferred
Agent_Inference
pricing_power_rating
Very low (1/10); pure commodity price-taker with no brand, differentiation, or contract pricing leverage against benchmark crude markets
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated 40–60% gross margin at $70–80/bbl WTI assuming $25–35/bbl lifting costs once Santa Ynez fields return to production
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; physical commodity with clear title transfer—churn risk is regulatory shutdown or pipeline access loss, not customer defection
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth model; production increases via existing wells and infrastructure—incremental barrels require minimal additional headcount beyond operational staff
Inferred
Agent_Inference
marginal_cost_of_growth
Low marginal cost per incremental barrel from existing Santa Ynez infrastructure once restart complete; growth is capital-intensive upfront, then low-opex
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains near zero (commodity buyers approach seller); margin compression risk is operational cost inflation and regulatory compliance cost
Inferred
Agent_Inference
network_effect_present
None; upstream oil production has no network effects—value is purely asset/reserve quality and commodity price, not user-base dependent
Inferred
Agent_Inference
asset_efficiency_ratio
-22.9% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Low resilience (Tier 4); crude oil demand and price collapse in recessions, single-asset company with high fixed restart costs amplifies downside
Inferred
Agent_Inference
customer_segment_primary
California refiners and West Coast crude traders; highly concentrated—likely 1–3 buyers for all Santa Ynez production given pipeline constraints
Inferred
Agent_Inference
customer_segment_secondary
Spot crude traders/brokers providing price discovery and secondary market liquidity for excess or diverted volumes
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
null
Inferred
Agent_Inference
sec_cik
0001831481
High
SEC-EDGAR
ticker
SOC
High
SEC-EDGAR