National Energy Services Reunited Corp.
589f79ea61f342b6bda02f67b671f4cd
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T05:55:40.167068+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=Oilfield equipment OEMs (Schlumberger, Baker Hughes) supply critical tools; no single vendor >30% but substitutability is limited in specialized well services
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
6.89x Total Debt / Equity (High leverage)
High
SEC-XBRL
interest_rate_sensitivity
High sensitivity; ~$800M net debt at variable rates means a 200bps rise adds ~$16M annual interest expense, compressing thin EBITDA margins by ~2-3pp
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
Saudi Arabia/GCC oilfield services concentration and Egyptian upstream operations represent top two geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
MENA-denominated revenues exposed to Egyptian pound devaluation (high risk), Saudi riyal (USD-pegged, low risk), and Kuwaiti dinar (stable, low risk)
Inferred
Agent_Inference
geographic_footprint
~85% revenue from MENA; Egyptian pound devaluation is critical risk, Saudi riyal USD-peg provides stability, Kuwaiti dinar minimally exposed
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
Oilfield equipment OEMs (Schlumberger, Baker Hughes) supply critical tools; no single vendor >30% but substitutability is limited in specialized well services
Inferred
Agent_Inference
business_model_type_primary
Asset-light oilfield services model; not cloud-dependent—on-premise and field-based operations mean AWS/GCP/Azure termination causes minimal operational disruption
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital/data analytics offerings carry some cloud dependency but represent <10% of revenue; termination manageable within 90 days
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operations are field-service and equipment-based, not software-API-driven; proprietary well data creates moderate client stickiness
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model is fee-for-service oilfield services, not investment contracts or token-based—no securities law reclassification exposure
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate; operates in MENA jurisdictions with limited GDPR direct exposure; CCPA minimally applicable given negligible US consumer data handling
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; fragmented MENA oilfield services market with global giants (SLB, HAL) dominant; NESR holds sub-20% regional share
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
~70% recurring via multi-year integrated services contracts with NOCs; ~30% transactional project-based work
Inferred
Agent_Inference
monetization_vector
Primary monetization via long-term integrated production services and drilling contracts with national oil companies on day-rate and lump-sum structures
Inferred
Agent_Inference
pricing_architecture
Day-rate and lump-sum contract pricing; inflation pass-through limited in fixed contracts, though NOC renewals allow renegotiation every 2-5 years
Inferred
Agent_Inference
pricing_power_rating
Moderate (6/10); NOC clients have procurement leverage but NESR's integrated service bundling and regional presence provide modest pricing resilience
Inferred
Agent_Inference
target_gross_margin_bracket
12.4% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
Low free-rider risk; services are proprietary and contracted; churn risk stems from NOC budget cuts or insourcing, not free-riding behavior
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; field services require proportional technician and engineer scaling—limited operational leverage at 2x revenue
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; each incremental contract requires field personnel, equipment mobilization, and working capital—sublinear scaling unlikely near-term
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; NESR does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, NOC client concentration risk intensifies; CAC is relationship/tender-driven with 12-24 month sales cycles; unit economics improve modestly via equipment utilization
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; oilfield services is a bilateral contract market—scale benefits are cost-side (equipment utilization) not demand-side network effects
Inferred
Agent_Inference
asset_efficiency_ratio
3.3% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 3 (moderate vulnerability); tied to oil capex cycles—NOC budgets more stable than IOC but still contract-sensitive during prolonged sub-$60/bbl oil environments
Inferred
Agent_Inference
customer_segment_primary
National Oil Companies (NOCs): Saudi Aramco, ADNOC, EGPC represent majority of revenue with high concentration risk
Inferred
Agent_Inference
customer_segment_secondary
International Oil Companies (IOCs) and independent operators in MENA account for remaining ~20-25% of revenue
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 predominantly maintenance and fleet-sustaining (legacy equipment upkeep); limited reallocation to future-state digital infrastructure—capex intensity ~8-10% of revenue
Inferred
Agent_Inference
sec_cik
0001698514
High
SEC-EDGAR
ticker
NESR
High
SEC-EDGAR

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-20no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.