debt_leverage_profile
-3.54x Total Debt / Equity (Negative equity)
High
SEC-XBRL
interest_rate_sensitivity
~$4M annual interest cost increase per 100bps on ~$400M floating-rate debt; leverage ~4x EBITDA amplifies refinancing risk
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
Gulf Coast oilfield equipment manufacturing hubs; Permian Basin/Eagle Ford logistics corridors vulnerable to weather and regulatory disruption
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Predominantly US domestic (Permian, Rockies, Gulf Coast); minimal international revenue; sovereign currency devaluation risk effectively negligible
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
Moderate; reliant on key tubular and completion equipment OEMs (e.g., Baker Hughes, NOV) but no single vendor likely exceeds 30% of input cost
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy oilfield services; cloud dependency minimal; AWS/GCP/Azure termination would disrupt back-office/ERP systems but not core field operations
Inferred
Agent_Inference
business_model_type_secondary
Field-service and rental model; operational continuity relies on physical equipment fleets and crews, not cloud infrastructure
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operations are field-service based with minimal SaaS/API integration; switching costs driven by equipment mobilization logistics, not software
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue model is direct oilfield services rendered for cash consideration, not an investment contract; securities classification risk near zero
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low; US-only operations with limited PII processing; GDPR exposure negligible; CCPA exposure minimal given B2B industrial customer base
Inferred
Agent_Inference
antitrust_exposure_flag
Low-moderate; fragmented oilfield services market with Halliburton, SLB, Baker Hughes as dominant players; KLX lacks market share to trigger 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
~85-90% transactional (well-by-well service contracts); ~10-15% quasi-recurring via master service agreements with E&P operators
Inferred
Agent_Inference
monetization_vector
Per-job and day-rate billing for completion, production, and intervention services; ancillary tubular rental and equipment fees
Inferred
Agent_Inference
pricing_architecture
Day-rate and per-job pricing tied to commodity cycle; highly vulnerable to E&P capex cuts; limited ability to pass through cost inflation during downturns
Inferred
Agent_Inference
pricing_power_rating
Low; commodity-price-correlated pricing with intense competition from SLB, HAL, and regional players; 2/10 pricing power rating
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~20-30%; EBITDA margins ~10-18% depending on cycle; structurally compressed by equipment depreciation and labor costs
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; services are contracted and billable; churn risk high during E&P capex downturns as operators defer completions work
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; field technicians, crews, and equipment operators scale proportionally with job volume; limited operating leverage
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; incremental revenue requires additional crews, equipment deployment, and consumables; sublinear scaling only achievable via utilization rate improvement
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would rise sharply due to crew scarcity and equipment capex constraints; unit economics deteriorate without significant pricing power improvement
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; oilfield services is a bilateral market with no platform dynamics or cross-side value creation
Inferred
Agent_Inference
asset_efficiency_ratio
-22.4% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 4 (highly cyclical); revenue directly correlated with WTI/Henry Hub prices and E&P capex budgets; severe downturns in 2015-16 and 2020 demonstrated 40-60% revenue drops
Inferred
Agent_Inference
customer_segment_primary
Large independent E&P operators (e.g., Pioneer, Devon, Diamondback) in Permian, Rockies, and Gulf Coast; top 10 customers likely represent 50-60% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Mid-size and smaller E&P operators and private equity-backed exploration companies; secondary segment adds diversification but with higher credit risk
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
7.7% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001738827
High
SEC-EDGAR
ticker
KLXE
High
SEC-EDGAR