debt_leverage_profile
2.24x Total Debt / Equity (High leverage)
High
SEC-XBRL
interest_rate_sensitivity
High sensitivity; ~$2.5B floating-rate debt means 200bps rate rise adds ~$50M annual interest expense, compressing coverage ratios materially
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
Gulf Coast compressor manufacturing hubs; Caterpillar/Ariel compressor component supply chains concentrated in Midwest industrial corridors
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Operates exclusively in US domestic Permian, Eagle Ford, and Haynesville basins; zero sovereign currency devaluation 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
High dependency on Caterpillar and Ariel for large-horsepower compressor engines and frames; substitution lead times exceed 12-18 months
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination would cause minimal operational disruption; core operations are field-based physical compression assets, not cloud-dependent
Inferred
Agent_Inference
business_model_type_secondary
Billing and ERP systems could migrate within 60-90 days; no mission-critical cloud-native revenue delivery infrastructure identified
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operations are asset-heavy field services with minimal software API dependencies in revenue delivery chain
Inferred
Agent_Inference
howey_test_risk_index
Very low Howey Test risk; revenue model is fee-for-service compression contracts, not investment contracts or profit-sharing arrangements
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; customer data is US-based industrial operators, no consumer PII or EU data subjects in core operations
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; post-CSI Compressco acquisition creates top-3 contract compression market position; DOJ scrutiny possible in concentrated basin markets
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
~85-90% recurring under multi-year fixed-fee compression contracts; ~10-15% transactional from spot services and maintenance fees
Inferred
Agent_Inference
monetization_vector
Fixed monthly horsepower-based compression service fees under take-or-pay or minimum-volume contract structures averaging 3-5 year terms
Inferred
Agent_Inference
pricing_architecture
Horsepower-day rate pricing; inflation pass-through clauses in ~60% of contracts limit downside but cap upside in falling-rate environments
Inferred
Agent_Inference
pricing_power_rating
Moderate-high; large-horsepower compression is scarce and sticky, but competitive bidding at contract renewal limits unilateral price increases
Inferred
Agent_Inference
target_gross_margin_bracket
24.2% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
Low free-rider risk; physical compression assets are metered and contractually obligated; no usage without explicit service agreement
Inferred
Agent_Inference
headcount_cost_structure
Sublinear; incremental compression units deployed with modest technician additions; field crew productivity scales with fleet density per geography
Inferred
Agent_Inference
marginal_cost_of_growth
Primarily capital-intensive (compressor unit acquisition/fabrication) not headcount-intensive; incremental EBITDA margins improve at scale above ~2M HP
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, basin concentration risk increases; customer acquisition cost is low but capital deployment per new HP exceeds $1,500/HP fabricated
Inferred
Agent_Inference
network_effect_present
Weak network effects; geographic density creates operational efficiency but no demand-side network effect; value does not compound with more users
Inferred
Agent_Inference
asset_efficiency_ratio
2.6% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 2 resilience; natural gas production compression is semi-essential but exposed to E&P capex cuts in prolonged commodity price downturns
Inferred
Agent_Inference
customer_segment_primary
Large E&P operators (ExxonMobil, ConocoPhillips, Coterra Energy); top-10 customers likely represent 40-55% of total revenue
Inferred
Agent_Inference
customer_segment_secondary
Midstream gathering and processing companies requiring dedicated compression infrastructure on long-term outsourced service agreements
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
24.1% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001767042
High
SEC-EDGAR
ticker
KGS
High
SEC-EDGAR