debt_leverage_profile
0.13x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Moderate sensitivity; ~$50M debt load at variable rates means 200bps rise adds ~$1M annual interest expense, compressing thin EBITDA margins by ~5-8%
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
LNG liquefaction equipment sourced via Gulf Coast US industrial corridor; cryogenic transport components with exposure to China-Taiwan semiconductor/manufacturing tensions
Inferred
Agent_Inference
international_expansion_readiness
Primary international exposure in Mexico (MXN) and China (CNY); MXN devaluation risk moderate given Pemex-adjacent customers; CNY managed float limits acute shock but adds repatriation friction
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in US Gulf Coast, Texas, and Mexico; MXN and CNY devaluation risk present; ~20-25% revenue internationally with Mexico as largest non-USD exposure
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Dependency on Chart Industries and select cryogenic equipment OEMs for liquefaction/storage assets; no single vendor >30% of COGS but Chart represents non-trivially substitutable supplier
Inferred
Agent_Inference
business_model_type_primary
Asset-light cloud disruption risk is minimal; operations are physical LNG distribution and equipment leasing, not cloud-native; 30-day AWS termination would affect back-office only
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital/operational software tools (ERP, dispatch, billing) are cloud-hosted but commodity SaaS; migration feasible within 60-90 days with moderate disruption
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; no proprietary platform APIs; customer switching costs derive from physical infrastructure co-location and long-term supply agreements, not software lock-in
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model is physical commodity sales and equipment leasing, not passive investment returns; no tokens or profit-sharing instruments identified
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; B2B industrial customer base with minimal consumer PII; Mexico operations face LFPDPPP compliance requirements but data volumes are limited
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; <5% US LNG distribution market share; competes against Shell, Chart, and regional providers; no dominant market position triggering scrutiny
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Approximately 40-50% recurring via multi-year LNG supply agreements and equipment rental; remainder transactional spot fuel sales; recurring base improving as contract fleet grows
Inferred
Agent_Inference
monetization_vector
Dual vector: volumetric LNG commodity sales ($/MMBtu margin) plus equipment leasing fees; commodity spread monetization dominates at ~65-70% of gross profit
Inferred
Agent_Inference
pricing_architecture
Pricing tied to Henry Hub natural gas index plus distribution margin; stress scenario of Henry Hub spike compresses spread if contracts lack full pass-through clauses
Inferred
Agent_Inference
pricing_power_rating
Moderate; LNG as diesel alternative provides 15-30% fuel cost savings to customers, supporting pricing premium; however commodity nature limits sustained margin expansion
Inferred
Agent_Inference
target_gross_margin_bracket
2.8% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
Low free-rider risk; no public-good information product; physical fuel delivery is fully excludable; churn risk stems from customer project completion or return to diesel
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-sublinear; incremental LNG volume flows through existing infrastructure; driver/technician headcount scales at ~0.4x revenue growth rate
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (liquefaction equipment, ISO containers) but operationally leveraged; 2x revenue requires ~1.5x capex, not 2x headcount
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; company does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC likely declines as brand recognition in industrial/oilfield markets grows; current CAC estimated $50-150K per industrial account with LTV of $500K-$2M
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; LNG distribution is a point-to-point physical commodity service; scale benefits are operational (route density) not network-driven
Inferred
Agent_Inference
asset_efficiency_ratio
-1.6% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 3 moderate vulnerability; industrial and oilfield customers cut discretionary fuel switching in downturns; partially offset by cost-savings value proposition vs. diesel
Inferred
Agent_Inference
customer_segment_primary
Industrial and oilfield E&P operators in US Gulf Coast and Permian Basin; top 3-5 customers likely represent 30-40% of revenue creating meaningful concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Remote power generation, mining, and transportation fleet operators seeking diesel alternatives; growing but still minority segment representing ~25-30% of revenue base
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", "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"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
11.9% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001043186
High
SEC-EDGAR
ticker
SLNG
High
SEC-EDGAR