debt_leverage_profile
Net debt/EBITDA ~1.5x; 20% interest rate rise adds ~¥3–5B annual interest expense, modest but manageable given ¥150B+ operating cash flow.
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate debt portion ~30–40%; 20% rate increase compresses net income by roughly 3–5%, manageable given stable freight cash flows.
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Strait of Malacca (Asia-Europe sea freight) and South China Sea corridors are top two chokepoints for cargo volumes.
Inferred
Agent_Inference
international_expansion_readiness
Significant JPY depreciation exposure; top markets USA, EU, China carry currency translation risk reducing consolidated yen-reported revenue ~5–10% on sharp devaluations.
Inferred
Agent_Inference
geographic_footprint
Operations in 50+ countries; top three international revenue markets are USA, China, EU—each subject to USD/CNY/EUR sovereign devaluation vs. JPY reporting currency.
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30% of input costs; fuel suppliers are largest input (~20% of costs) but substitutable across multiple providers.
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy logistics operator; cloud disruption minimal—core operations rely on physical infrastructure, not cloud-native platforms.
Inferred
Agent_Inference
business_model_type_secondary
B2B freight forwarding and contract logistics; cloud termination would affect back-office/TMS systems but not core physical delivery capability.
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; proprietary TMS and WMS systems used internally; customer integrations exist but are not deeply locked into single API providers.
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from physical logistics services, not investment contracts—negligible securities classification risk.
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR/CCPA exposure; handles shipper/consignee data across EU and California; compliance programs in place but cross-border data flows require ongoing monitoring.
Inferred
Agent_Inference
antitrust_exposure_flag
Low-to-moderate; global freight market is fragmented; no dominant market share in any single lane, but past freight forwarding cartel investigations in industry warrant monitoring.
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~60–65% transactional (spot/contract freight), ~35–40% recurring via multi-year contract logistics and warehousing agreements.
Inferred
Agent_Inference
monetization_vector
Per-shipment fees, weight/volume-based freight charges, and fixed-fee contract warehousing/3PL management fees.
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing dominant with fuel surcharge pass-throughs; limited pricing power in commoditized freight forwarding segments; contract logistics more stable.
Inferred
Agent_Inference
pricing_power_rating
Moderate (3/5); fuel surcharges protect margins but spot freight pricing is market-driven; branded value-add services command modest premium.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~15–20%; logistics sector norm; contract logistics slightly higher; air freight forwarding margins compressed by airline capacity pricing.
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; services are paid and contracted; some commoditization in spot freight creates customer switching risk on price.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is broadly headcount-linear for warehouse/ground operations; freight forwarding slightly sublinear due to scale leverage in back-office.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is high in asset-heavy warehousing; moderate in freight forwarding where broker model scales better without proportional headcount.
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; operates through wholly-owned subsidiaries and joint ventures globally—compliance managed through corporate governance, not franchise drift.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC likely rises modestly; enterprise logistics RFP cycles are long but repeat business high; unit economics improve with network density.
Inferred
Agent_Inference
network_effect_present
Weak network effects; larger network improves route density and cost efficiency but doesn't create strong user-to-user value; durability moderate.
Inferred
Agent_Inference
asset_efficiency_ratio
AI/automation can displace warehouse labor (estimated 20–30% of warehouse headcount over 10 years) and route optimization, improving asset turns.
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 (moderate vulnerability); volumes decline with trade slowdown; contract logistics provides cushion but air/ocean freight is cyclical.
Inferred
Agent_Inference
customer_segment_primary
Large multinational manufacturers and retailers (automotive, electronics, retail) representing majority of revenue.
Inferred
Agent_Inference
customer_segment_secondary
Mid-size exporters/importers and pharmaceutical/healthcare companies; no single customer likely exceeds 5% 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", "23-0000 Legal Occupations", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance 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", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital being reallocated toward automation, digital TMS platforms, and overseas warehouse expansion; legacy trucking fleet gradually modernized—forward-leaning but incremental.
Inferred
Agent_Inference
sec_cik
0001985406
High
SEC-EDGAR
ticker
NEXHY
High
SEC-EDGAR