P&L Overview
FY2025 Profit & Loss with COE Innovation Impact Analysis
Data Integrity Notice
Reconciled tool midpoints sum to R3.0B vs headline claim of R3.7B (gap: R747M). Only R378M (13% actual / 87% modelled) is confirmed.
Group Revenue
R43.9B
EBITDA
R11.8B
Total Capex
R6.2B
Free Cash Flow
R2.8B
P&L Waterfall — Revenue to Net Profit
R43.9B → R11.8B → R5.6B → R2.1B
Revenue by Business UnitFY2025
Segments sum to R52.4B; R8.5B inter-segment eliminations
Cost StructureR32.1B Total Opex
Deployed Tools — Confirmed P&L Impact
Churn Prediction AI
ML model predicting customer churn 30 days ahead, enabling proactive retention
R210-420M saved
ModelledCredit Scoring ML
Alternative credit scoring using behavioural data for fintech lending
R80-150M growth
ModelledSpectrum Optimiser
AI-driven spectrum allocation maximising capacity per MHz
R150-300M efficiency
ModelledFibre Route Planner
AI route optimisation for fibre rollout reducing cost-per-home
R380-630M efficiency
ModelledPredictive Maintenance
ML model predicting equipment failures 7-14 days ahead
R250-500M savings
ModelledEnergy Management AI
Solar/battery optimisation across 1,244 sites
R378M achieved
ActualIn Development — Future P&L Impact
RAN Planning AI
ML-based site selection and capacity planning for mobile network
R280-560M capex saved
ProjectedAIOps Platform
Automated incident detection and resolution for IT services
R100-200M efficiency
ProjectedNLP Customer Service
SA language chatbots for Tier 1 call deflection
R50-100M savings
ProjectedCollections AI
ML-optimised collections prioritisation and strategies
R60-120M recovery
ProjectedPropensity Models
Customer propensity scoring for fibre connect rate optimisation
R120-250M uplift
ProjectedNetwork Digital Twin
Real-time digital replica of network for planning and simulation
R80-160M efficiency
Projected