debt_leverage_profile
Net debt ~£450m, ND/EBITDA ~2.0x; a 20bp rate rise adds ~£0.9m annual interest cost, modest vs £220m+ EBITDA
Inferred
Agent_Inference
interest_rate_sensitivity
~70% of debt is floating-rate linked; 20bp rise increases annual interest ~£0.9m, <1% EBITDA impact, manageable
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
US-China trade corridor (industrial seals/components) and European logistics hubs (controls/connectors) are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Top-3 markets: USA (USD, low devaluation risk), UK (GBP, moderate Brexit volatility), Canada (CAD, commodity-linked); overall risk moderate
Inferred
Agent_Inference
geographic_footprint
~55% revenue from North America, ~30% UK/Europe, ~15% RoW; USD/GBP/CAD are primary FX exposures with moderate devaluation risk
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 supplier exceeds 30% of input costs; Diploma sources from hundreds of specialist manufacturers, reducing lock-in risk
Inferred
Agent_Inference
business_model_type_primary
Distribution/industrial MRO; not cloud-native — AWS/GCP/Azure termination would disrupt back-office ERP, not core revenue delivery
Inferred
Agent_Inference
business_model_type_secondary
Physical distribution and value-added services; digital infrastructure is supportive, not mission-critical to customer fulfilment
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Diploma operates via ERP and proprietary distribution systems, not heavily API-dependent on third-party platforms
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test — revenue model is industrial distribution of physical goods/services; no expectation of profit from others' efforts
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure (UK/EU operations); CCPA exposure limited; B2B customer data focus reduces consumer PII risk materially
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; fragmented distribution market, no dominant market share in any single segment; acquisitions have passed regulatory review
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
~70–75% quasi-recurring (MRO consumables, repeat orders, framework contracts); ~25–30% project/transactional; limited formal subscription revenue
Inferred
Agent_Inference
monetization_vector
Volume-based repeat consumable sales with value-added services; margin uplift from technical support, kitting, and just-in-time delivery
Inferred
Agent_Inference
pricing_architecture
Cost-plus with specialist product premium; niche technical products allow 3–8% annual price increases; limited commoditisation pressure
Inferred
Agent_Inference
pricing_power_rating
Above-average; mission-critical low-cost components in high-cost systems allow pricing resilience; customers prioritise availability over price
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55–58%; specialty distribution commands premium vs standard distributors (~25–35%), reflecting technical value-add
Inferred
Agent_Inference
churn_vulnerability_index
Minimal free-rider leakage; proprietary technical support and approved-supplier status create sticky relationships; low substitution incentive
Inferred
Agent_Inference
headcount_cost_structure
Growth is moderately headcount-sublinear; acquisitions add headcount in chunks, but organic growth leverages existing sales/ops infrastructure
Inferred
Agent_Inference
marginal_cost_of_growth
Primarily acquisition-driven growth; organic incremental margin ~30–35%; doubling revenue via M&A roughly doubles headcount proportionally
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; N/A — operates as a centralised acquisitive group with subsidiary management, not franchisee network
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC rises as niche markets saturate; growth depends on M&A pipeline quality; organic CAC remains low via repeat MRO demand
Inferred
Agent_Inference
network_effect_present
Weak network effects; scale improves supplier terms and breadth, but no direct user-to-user network dynamic; competitive moat is relational
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low-moderate; technical advisory and relationship roles are AI-resistant; logistics optimisation is AI-augmentable
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 (moderate resilience); MRO consumables are essential but industrial capex slowdowns reduce volumes; 2009 revenue fell ~10–15%
Inferred
Agent_Inference
customer_segment_primary
Industrial OEMs and maintenance operations across life sciences, industrial, and fluid controls sectors; no single customer >3% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Healthcare/life sciences distributors and specialty fluid controls customers; growing segment with higher margins and regulatory stickiness
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
Capex is low (~1–2% of revenue); capital reallocation is toward M&A (bolt-on acquisitions), not legacy-to-future infrastructure transformation
Inferred
Agent_Inference
sec_cik
0001529906
High
SEC-EDGAR
ticker
DPLMF
High
SEC-EDGAR