debt_leverage_profile
1.36x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
~$15-20M annual interest expense increase per 100bps rate rise on ~$1.5B variable-rate debt; highly leveraged at ~4x net debt/EBITDA
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 sand logistics corridors and Chinese-manufactured hydraulic fracturing pump components represent top two geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Minimal; ~95%+ revenue is U.S.-domestic, negligible sovereign currency devaluation exposure across international markets
Inferred
Agent_Inference
geographic_footprint
Overwhelmingly U.S.-centric; operations in Permian, Haynesville, Eagle Ford, Marcellus basins; near-zero international FX 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
Proppant (sand) suppliers and diesel fuel vendors are critical inputs; no single vendor exceeds 30% but sand supply concentration poses moderate substitutability risk
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud infrastructure dependency; operational technology is field-based; 30-day cloud termination would cause minor back-office disruption, not operational failure
Inferred
Agent_Inference
business_model_type_secondary
Legacy oilfield services model; physical asset-intensive with pump fleets and crews; digital systems are supplementary, not core delivery mechanism
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; company relies on proprietary field operations software and SCADA systems, not third-party API ecosystems for core revenue delivery
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue derives from physical hydraulic fracturing services contracts, not investment contracts or profit-sharing schemes
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; customer base is B2B U.S. oil and gas operators; no consumer personal data collected at meaningful scale
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; post-merger consolidation via acquisitions (USWS, Flotek stake) draws scrutiny; holds significant Permian frac capacity share but below monopoly threshold
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 spot and short-term contract; ~10-15% under multi-year dedicated fleet agreements; highly cyclical, low recurring revenue base
Inferred
Agent_Inference
monetization_vector
Service-per-well-stage billing; revenue tied to frac stages completed, pump hours, and proppant pumped; purely activity-based monetization
Inferred
Agent_Inference
pricing_architecture
Spot market pricing with modest contractual floors; vulnerable to E&P capex cuts; integrated sand and chemistry ownership provides partial cost-buffer in downturns
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; commodity-like service in oversupplied frac market; pricing power exists only during tight capacity cycles like 2021-2022
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins ~20-30%; EBITDA margins ~25-35% at cycle peak; heavily compressed during frac market oversupply periods
Inferred
Agent_Inference
churn_vulnerability_index
No meaningful free-rider problem; services are consumed transactionally; churn risk is high as E&P clients freely switch frac providers on price
Inferred
Agent_Inference
headcount_cost_structure
Largely headcount-linear; doubling revenue requires proportional increase in crews, equipment operators, and field personnel; limited operating leverage
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; growth requires fleet additions (~$30-50M per new frac fleet), crew hiring, and maintenance capex; not a scalable-software-type cost curve
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; ProFrac does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, customer concentration risk intensifies; CAC is relationship/BD-driven; unit economics deteriorate if frac market capacity outpaces E&P demand growth
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; oilfield services is a bilateral market without cross-side or same-side network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
-14.3% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Low recession resistance; revenue highly correlated with WTI/Henry Hub prices and E&P capex budgets; top-quartile cyclicality among industrials
Inferred
Agent_Inference
customer_segment_primary
Large independent E&P operators (e.g., Coterra, Devon, Continental) representing bulk of frac stage demand; top 10 customers likely >50% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Mid-size private E&P operators in Permian and Haynesville; less contractual commitment, higher churn risk, but volume significant during upcycles
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
8.7% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001881487
High
SEC-EDGAR
ticker
ACDC
High
SEC-EDGAR