debt_leverage_profile
Net debt ~£900m; net debt/EBITDA ~4-5x; a 200bps rate rise adds ~£18m annual interest cost, pressuring thin margins further.
Inferred
Agent_Inference
interest_rate_sensitivity
~70% of debt is floating or near-term refinancing; 200bps increase raises annual interest ~£18m, reducing adjusted PBT by ~15-20%.
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
UK government procurement frameworks and Indian IT/BPO talent hubs (primarily Pune/Mumbai); disruption to either constrains delivery capacity.
Inferred
Agent_Inference
international_expansion_readiness
Top-3 international markets: India (INR), Germany (EUR), Poland (PLN); INR devaluation compresses offshore cost advantage; EUR/PLN moves affect contract margins.
Inferred
Agent_Inference
geographic_footprint
~75% UK revenue; India delivery centre exposed to INR; Germany and Poland operations exposed to EUR/PLN; limited but real 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
Microsoft (Azure/M365) and SAP represent critical non-substitutable platform dependencies; switching cost high; neither likely >30% of input cost alone.
Inferred
Agent_Inference
business_model_type_primary
Managed IT/BPO services on Azure; 30-day termination would disrupt delivery for ~40% of contracts, requiring emergency migration over 6-12 months.
Inferred
Agent_Inference
business_model_type_secondary
Secondary delivery relies on Microsoft 365 and SAP; loss of either would require 12-18 months remediation and significant client SLA penalties.
Inferred
Agent_Inference
switching_cost_profile
High API/platform coupling to Microsoft and SAP ecosystems; clients face 12-24 month migration costs, creating bilateral lock-in but also churn stickiness.
Inferred
Agent_Inference
howey_test_risk_index
Not applicable; Capita's revenue is from B2G/B2B services contracts, not investment instruments; Howey Test risk is negligible/null.
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
High GDPR exposure: processes sensitive UK/EU citizen data for government clients; CCPA minimal (limited US ops); ICO enforcement fines a material risk.
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; holds significant UK public-sector outsourcing share; CMA has scrutinised government outsourcing concentration; no current active investigation.
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
~80% recurring via multi-year government and enterprise contracts (avg 3-7 years); ~20% transactional project/consulting revenue.
Inferred
Agent_Inference
monetization_vector
Primary vector: long-term managed service contracts with volume-linked fees; secondary: time-and-materials consulting and software licensing pass-through.
Inferred
Agent_Inference
pricing_architecture
Fixed-price and volume-tiered contracts dominate; inflation clauses often lag CPI by 12-18 months, compressing margins during inflationary spikes.
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; public sector clients have procurement rules limiting price increases; competitive retenders constrain unilateral pricing power.
Inferred
Agent_Inference
target_gross_margin_bracket
Reported gross margin ~20-25%; BPO/ITO peers trade 25-35%; Capita's legacy contract mix and labour intensity suppress margins toward lower end.
Inferred
Agent_Inference
churn_vulnerability_index
No material free-rider problem; services are bespoke and contractual. Churn risk arises at contract expiry/retender (~15-20% revenue at risk annually).
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is near-headcount-linear; labour represents ~60-65% of costs; automation investment is gradually improving sublinearity but slowly.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth remains high due to labour intensity; doubling revenue would require ~70-80% headcount increase absent significant automation.
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; null.
Inferred
Agent_Inference
customer_acquisition_metric
B2G sales cycles 12-24 months; CAC is high but LTV on 5-7 year contracts is substantial; at 10x scale, procurement capacity becomes the bottleneck.
Inferred
Agent_Inference
network_effect_present
Minimal direct network effects; some data/platform scale advantages in specific verticals (e.g., pensions admin) but not a core competitive moat.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is high for BPO/back-office tasks (~30-40% of workflows automatable); Capita is investing in RPA/AI but transition timeline is 3-5 years.
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 resilience; ~60% government contracts provide stability, but discretionary consulting and private-sector BPO (~40%) face budget cuts in downturns.
Inferred
Agent_Inference
customer_segment_primary
UK central and local government (~50-55% of revenue); high concentration risk — loss of MOD or HMRC contracts would be materially damaging.
Inferred
Agent_Inference
customer_segment_secondary
UK private sector enterprises (financial services, utilities, telecoms) ~35-40% of revenue; more competitive and churn-prone than public sector.
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 is partially reallocating: asset disposal programme funds debt reduction; new capex directed at digital/cloud platforms, but legacy maintenance still consumes ~40%.
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
CPI.L (LSE); trading at significant discount to NAV reflecting leverage, contract losses, and restructuring risk; not primarily a commodity supply-chain discount.
Inferred
Agent_Inference