debt_leverage_profile
Net debt ~$150M, debt/EBITDA ~2x; 20% rate rise adds ~$30M annual interest expense, manageable but compresses thin margins further
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate debt exposure means 20% rate increase (~100-150bps) raises interest burden ~$25-30M annually, pressuring already sub-10% 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
Middle East oilfield access (Saudi Arabia/Iraq instability) and Southeast Asia manufacturing hubs for downhole tool components
Inferred
Agent_Inference
international_expansion_readiness
Top markets: Saudi Arabia (SAR pegged to USD, low devaluation risk), Mexico (MXN volatile, ~15% exposure), Kazakhstan (KZT historically devalued, ~10% exposure)
Inferred
Agent_Inference
geographic_footprint
Operations in 60+ countries; meaningful revenue in Saudi Arabia, Mexico, and Kazakhstan with moderate-to-low sovereign currency devaluation risk overall
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
No single vendor exceeds 30% of input costs; specialty steel and downhole component suppliers are diversified but limited in number (~5 key vendors)
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy oilfield services; minimal cloud infrastructure dependency—operations run on proprietary hardware and field equipment, not cloud-native SaaS
Inferred
Agent_Inference
business_model_type_secondary
Field services and equipment rental; cloud termination would disrupt back-office ERP/CRM but not core revenue-generating operations within 30 days
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Frank's uses standard enterprise software (SAP-class ERP); no proprietary API ecosystems create meaningful lock-in or switching barriers
Inferred
Agent_Inference
howey_test_risk_index
Oilfield services revenue fails Howey Test on all prongs; purely commercial B2B services with no investment contract characteristics—negligible securities law risk
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited GDPR/CCPA exposure; primary data is operational/industrial, not personal consumer data; EU operations require standard data transfer compliance measures
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; Frank's holds sub-10% global tubular running services market share; Weatherford and Schlumberger dominate, reducing monopoly 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% transactional (project/job-based), ~15% recurring via multi-year frame agreements; highly cyclical, tied to E&P capex budgets
Inferred
Agent_Inference
monetization_vector
Per-job fee for tubular running services and cementing; day-rate equipment rental; no subscription or SaaS monetization vectors present
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing with day-rate and per-well structures; limited pricing power in downturns; customer price sensitivity high when oil <$60/bbl
Inferred
Agent_Inference
pricing_power_rating
Weak-to-moderate pricing power; commodity-linked demand and competitive fragmentation limit ability to raise prices beyond oil price cycle tailwinds
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins historically 30-40%; EBITDA margins 5-12% depending on cycle; stressed environments can compress gross margin to 20-25%
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; services are billed per engagement; but customer churn risk is high when E&P operators reduce drilling programs in low oil price environments
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; field technician and engineer count must scale proportionally with well count—limited operational leverage
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear scaling unlikely; each incremental well requires field crew deployment; doubling revenue requires ~80-90% headcount increase—high labor intensity
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; inapplicable—Frank's operates company-owned international subsidiaries with direct employee and equipment management
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains relationship-driven with long sales cycles to NOCs and major E&P operators; unit economics improve marginally via equipment utilization rates
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; oilfield services is a linear service business with no cross-side or same-side network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low in short term; physical tubular running and cementing operations require on-site human expertise; automation adoption is gradual
Inferred
Agent_Inference
recession_resistance_tier
Low recession resistance; oilfield services directly tied to E&P capex, which is first cut in economic downturns or oil price collapses—Tier 4 cyclicality
Inferred
Agent_Inference
customer_segment_primary
National oil companies (Saudi Aramco, ADNOC, PEMEX) representing ~40-50% of revenue; high concentration risk with sovereign customers
Inferred
Agent_Inference
customer_segment_secondary
Independent and major E&P operators (ExxonMobil, Chevron, BP affiliates) representing ~30-40%; diversified but equally capex-cycle-sensitive
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
Capital allocation skewed toward maintaining legacy tubular running equipment fleet; limited reinvestment into next-gen automation or digital oilfield infrastructure
Inferred
Agent_Inference
sec_cik
0001564963
Inferred
Agent_Inference
ticker
FI (NYSE: FI formerly, now delisted/merged); traded as part of Expro Group merger 2021; legacy ticker was FI on NYSE
Inferred
Agent_Inference