debt_leverage_profile
Highly levered; ~$3.3B long-term debt, Debt/EBITDA ~5.5x; 20bp rate rise adds ~$6.6M annual interest on floating-rate exposure
Inferred
Agent_Inference
interest_rate_sensitivity
Significant floating-rate exposure on credit facility; 20bp increase raises annual cash interest cost by ~$6-7M, pressuring DCF coverage
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
Caterpillar/Ariel compressor manufacturing concentrated in U.S. Midwest; natural gas compression equipment parts sourced via limited OEM channels
Inferred
Agent_Inference
international_expansion_readiness
Virtually no international revenue; USA Compression operates exclusively in U.S. domestic markets, so sovereign currency devaluation risk is negligible
Inferred
Agent_Inference
geographic_footprint
100% U.S.-domestic operations across Permian, Haynesville, Marcellus, Eagle Ford basins; zero direct foreign currency 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
Caterpillar engines and Ariel compressors dominate fleet; these OEMs likely represent >30% of capex/maintenance input cost with limited near-term substitutability
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy midstream MLP; physical compression infrastructure, not cloud-dependent; AWS/GCP/Azure termination would cause minimal operational disruption
Inferred
Agent_Inference
business_model_type_secondary
Operational technology (SCADA/remote monitoring) uses some SaaS; cloud termination manageable within 30 days via on-premise fallback or vendor switch
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operations driven by physical compression units and field SCADA systems, not deeply integrated third-party software APIs
Inferred
Agent_Inference
howey_test_risk_index
LP unit revenue model is fee-for-service compression; Howey risk low for revenue model itself, though LP units carry some investment-contract characteristics
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; B2B U.S.-only customer base, limited personal data processing; compliance burden is low relative to consumer-facing firms
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; dominant compression provider in select basins post-CDM merger, but market remains fragmented with competitors (Archrock, NGL Energy); no current DOJ action
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
~90%+ recurring; multi-year fixed-fee compression service contracts (typically 12–60 months) with E&P and midstream customers dominate revenue mix
Inferred
Agent_Inference
monetization_vector
Fee-for-service compression rental; customers pay monthly per-horsepower rates under fixed-term contracts; volume throughput-linked add-ons secondary
Inferred
Agent_Inference
pricing_architecture
Per-horsepower monthly fee structure; pricing stress-tested by commodity downturns causing E&P spending cuts, but long-term contracts provide 12–24 month lag protection
Inferred
Agent_Inference
pricing_power_rating
Moderate-to-high; inflation pass-through via CPI escalators in many contracts; constrained by E&P budget cycles and competitive large-volume bids
Inferred
Agent_Inference
target_gross_margin_bracket
3.1% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
Low free-rider risk; physical compression is excludable service, metered per unit; no public-good leakage, though contract non-renewal risk exists in down-cycles
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; adding compression horsepower requires technicians but scales better than doubling staff; field ops labor is primary constraint
Inferred
Agent_Inference
marginal_cost_of_growth
Primarily capital-intensive (new compression units ~$1,500–2,000/HP); incremental operating cost per additional HP is low once fleet infrastructure is established
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains low (direct sales to E&P/midstream); unit economics improve via fleet utilization rates; bottleneck shifts to equipment lead times and capex financing
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; compression is a physical utility service; scale provides cost advantages but not demand-side network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
4.4% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate resilience; natural gas compression tied to production volumes which decline in severe downturns; contract structure provides 1–2 year buffer before revenue impact
Inferred
Agent_Inference
customer_segment_primary
Large E&P operators (ExxonMobil XTO, Devon, Chesapeake) and midstream companies; top 10 customers likely represent 40–50% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Smaller independent E&P producers and gathering/processing midstream operators in Permian, Haynesville, Appalachian basins; concentration risk moderate
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
11.8% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001522727
High
SEC-EDGAR
ticker
USAC
High
SEC-EDGAR