debt_leverage_profile
0.01x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Moderate; ~$150M debt at variable rates means 20bps rise adds ~$300K annual interest expense, manageable but margin-compressing at ~15% EBITDA margins
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
Permian Basin oilfield equipment manufacturing (China steel inputs) and Gulf Coast hydraulic fracturing fluid chemical supply chains are top chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Minimal; Ranger operates almost exclusively in US domestic markets, sovereign currency devaluation exposure is effectively zero across international markets
Inferred
Agent_Inference
geographic_footprint
Negligible international revenue; ~99% US-based operations in Permian, DJ, Eagle Ford, Williston basins; no material foreign currency devaluation exposure
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
Low-moderate; no single vendor exceeds 30% of inputs, but wireline equipment OEMs (Halliburton, NOV) create partial dependency for specialized components
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination would cause minimal disruption; Ranger is an oilfield services company with physical asset-heavy, field-operations-based business model
Inferred
Agent_Inference
business_model_type_secondary
Back-office scheduling and ERP systems (likely SAP or Oracle) could face 30-day migration pressure but core revenue operations are non-cloud-dependent
Inferred
Agent_Inference
switching_cost_profile
Very low API coupling risk; Ranger's operations are field-service-driven with minimal software API dependencies; customer switching costs are moderate due to equipment mobilization costs
Inferred
Agent_Inference
howey_test_risk_index
Low; Ranger's revenue model is fee-for-service oilfield services (wireline, well services), not an investment contract; Howey Test inapplicable to core business
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal; US-only operations with limited consumer PII; GDPR exposure near zero, CCPA exposure low as customers are B2B oil and gas operators
Inferred
Agent_Inference
antitrust_exposure_flag
Low; fragmented oilfield services market with Halliburton, SLB, and Baker Hughes dominating; Ranger holds sub-5% market share with no pricing power concerns
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 (day-rate and job-based), ~10-15% quasi-recurring via master service agreements with E&P operators; highly cyclical
Inferred
Agent_Inference
monetization_vector
Day-rate and per-job fee billing for wireline, well services, and processing & logistics services to E&P operators
Inferred
Agent_Inference
pricing_architecture
Day-rate pricing tied to rig count and completion activity; highly commoditized and market-indexed, limited ability to hold price during E&P capex downturns
Inferred
Agent_Inference
pricing_power_rating
Low; 3/10 pricing power; rates compress 15-25% in downturns as E&P operators rebid contracts; differentiation via reliability, not price
Inferred
Agent_Inference
target_gross_margin_bracket
20-30% gross margin bracket; 2022-2023 reported ~22-26% gross margins, constrained by high labor and equipment operating costs
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; services are billable and contractual; churn risk is high during E&P capex cuts as operators idle rigs and cancel MSA call-offs
Inferred
Agent_Inference
headcount_cost_structure
Highly headcount-linear; doubling revenue requires near-proportional field crew scaling; labor represents ~55-65% of COGS with limited automation offset
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; each incremental revenue dollar requires additional field technicians, vehicles, and equipment; no meaningful operating leverage at current scale
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Ranger is not a franchise business model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, unit economics deteriorate; field labor scarcity and equipment capex requirements compress margins; TAM constraints limit 10x scenario viability
Inferred
Agent_Inference
network_effect_present
None; oilfield services businesses have no network effects; value does not increase with additional customers or service deployments
Inferred
Agent_Inference
asset_efficiency_ratio
4.2% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 4 (highly cyclical); revenue directly correlated to oil prices and E&P capex budgets; 2020 saw revenue decline ~40% YoY during oil price crash
Inferred
Agent_Inference
customer_segment_primary
Large and mid-cap E&P operators (Pioneer, ConocoPhillips, Devon, Continental) in Permian and other US onshore basins; top 10 customers likely ~50-60% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Smaller independent E&P operators and private equity-backed upstream companies in DJ Basin, Eagle Ford, and Williston Basin with spot-contract relationships
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
4.8% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001699039
High
SEC-EDGAR
ticker
RNGR
High
SEC-EDGAR