Digital infrastructure investment in EMEA requires distinct approaches by sub-region. While European FiberCos trade at 10–12x EBITDA with stable regulatory frameworks, North African markets (Morocco, Tunisia) demand currency-hedged DCF models and regulatory scenario planning.
EXXING's experience spans EMEA infrastructure: Morocco fiber masterplanning (EXXING #69–75), North African data center due diligence (EXXING #28), and European wholesale fiber analysis (extrapolated from Morocco regulatory benchmarks). This article focuses on Morocco and Tunisia, where we have direct project experience, with selective EMEA comparisons where regulatory parallels exist.
Key insight: Morocco's ANRT regulation (cost-oriented wholesale pricing, infrastructure sharing mandates) mirrors European models more than Sub-Saharan African markets. This makes Moroccan FiberCo valuation techniques portable to Southern Europe, but not to West Africa where regulatory frameworks differ fundamentally.
The Investment Case for Passive Infrastructure
Passive telecommunications infrastructure (towers, fibre) presents unique characteristics for institutional investors seeking stable, inflation-protected returns with operational upside potential.
Asset Class Characteristics
| Characteristic | TowerCos | FiberCos | Investor Advantage |
|---|---|---|---|
| Contract duration | 10-15 years | 15-25 years | Cash flow visibility |
| Inflation indexation | 95% of contracts | 85% of contracts | Purchasing power protection |
| Occupancy potential | 1.8-2.5 tenants/tower | 30-60% take-up | Significant operational upside |
| Maintenance CAPEX | 8-12% of revenue | 15-20% of revenue | High cash conversion |
| Economic correlation | Low (essential services) | Medium | Recession resilience |
These characteristics explain why infrastructure funds have allocated increasing capital to the sector. However, theoretical advantages encounter complex operational realities in emerging markets.
Market Context
The African digital infrastructure market presents a compelling investment thesis:
| Metric | Africa (2024) | Europe (2024) | Gap |
|---|---|---|---|
| Mobile penetration | 46% | 118% | 72pp |
| Fixed broadband penetration | 2% | 34% | 32pp |
| Tower tenancy ratio | 1.8 | 2.5 | 0.7 |
| Fibre homes passed | 12M | 180M | 15x |
| Annual infrastructure investment | $8B | $45B | 5.6x |
The infrastructure deficit creates substantial growth opportunity, but realising that opportunity requires navigating significant operational and financial risks.
Valuation Framework
Traditional EBITDA multiples (8-12x in developed markets) can be misleading in contexts of high currency volatility and regulatory uncertainty. EXXING advocates a rigorous Discounted Cash Flow (DCF) approach, complemented by sensitivity analysis across six critical variables.
DCF Methodology for Infrastructure
The DCF framework for infrastructure assets requires specific adaptations:
Revenue Projection: Build from contract-level analysis, incorporating:
- Existing contract terms (duration, escalation, renewal probability)
- New tenant/customer acquisition assumptions
- Churn and contract renegotiation risk
Cost Structure: Distinguish between:
- Fixed costs (land lease, security, basic maintenance)
- Variable costs (power, tenant-specific equipment)
- Growth CAPEX versus maintenance CAPEX
Terminal Value: Apply conservative assumptions given:
- Technology risk (5G densification may reduce tower demand)
- Regulatory risk (infrastructure sharing mandates)
- Competition risk (new entrants, alternative technologies)
Critical Variables for Sensitivity Analysis
| Variable | TowerCos | FiberCos | Valuation Impact |
|---|---|---|---|
| Tenancy ratio | 1.8 → 2.3 | N/A | +25% EV |
| Take-up rate | N/A | 35% → 50% | +40% EV |
| Annual churn | 3% → 8% | 12% → 18% | -15% EV |
| Currency depreciation | 5%/year → 10%/year | 5%/year → 10%/year | -20% EV |
| WACC | 12% → 15% | 13% → 16% | -18% EV |
| Exit multiple | 10x → 8x | 9x → 7x | -12% EV |
Tenancy Ratios (TowerCos)
The co-location ratio per tower is the primary value driver for TowerCos. In African markets, the average is 1.8 tenants per tower compared to 2.5 in Europe. Each additional tenant generates incremental margin of 75-85% due to low marginal operating costs.
Common Error: Projecting linear tenancy growth without analysing MNO (Mobile Network Operator) capital expenditure plans. EXXING recommends:
- CAPEX plan audit: Review published investment budgets of listed MNOs
- Geographic analysis: Urban zones (tenancy 2.5+) versus rural (1.2-1.5)
- Anchor site mapping: Identify sites near highways, shopping centres with high co-location potential
Case Study: West African TowerCo
EXXING advised on a 2,500-tower portfolio acquisition in West Africa:
| Metric | Seller Projection | EXXING Assessment | Variance |
|---|---|---|---|
| Current tenancy | 1.75 | 1.75 | — |
| Year 5 tenancy | 2.40 | 2.15 | -10% |
| Revenue CAGR | 12% | 9% | -3pp |
| EBITDA margin Y5 | 68% | 64% | -4pp |
| Implied EV adjustment | — | -18% | — |
The variance arose from over-optimistic assumptions about 5G rollout timing and MNO consolidation effects.
Take-Up Rates (FiberCos)
The distinction between homes passed (premises with fibre availability) and homes connected (subscribing premises) is critical. A FiberCo may report 500,000 homes passed but only 150,000 connected (30% take-up).
Regional Benchmarks:
| Market | Take-Up Rate | Key Drivers |
|---|---|---|
| South Africa | 45-55% | Mature market, weak DSL competition |
| Nigeria | 25-35% | Emerging market, strong 4G competition |
| Kenya | 35-45% | High urban penetration, Safaricom Fibre |
| Morocco | 40-50% | Government subsidies, Morocco Telecom network |
Take-Up Drivers:
- Affordability: Price below 5% of median household income
- Quality perception: Latency and stability versus 4G/5G
- Network density: Points of Presence reducing last-mile distance
- Content availability: Streaming services driving demand
Churn and Revenue Predictability
In prepaid-dominant markets (80%+ of mobile subscribers in Africa), churn is structurally higher than in contract-based developed markets.
| Segment | Annual Churn | Key Factors |
|---|---|---|
| Mobile prepaid | 45-65% | Price sensitivity, coverage, promotions |
| Mobile postpaid | 15-25% | Contract lock-in, credit requirements |
| Enterprise fibre | 8-15% | Contract duration, switching costs |
| Residential fibre | 18-28% | Competition, service quality |
Implication: Revenue projections must incorporate realistic churn assumptions and customer acquisition costs to maintain subscriber base.
Currency and Country Risk
Currency Risk Management
Emerging market infrastructure investments face significant currency risk. Local currency revenues must service USD or EUR-denominated debt and generate returns for international investors.
Hedging Strategies:
| Strategy | Cost | Effectiveness | Applicability |
|---|---|---|---|
| Natural hedge (USD revenues) | Low | High | Enterprise/wholesale segments |
| Forward contracts | 3-8% p.a. | Medium | Short-term, liquid currencies |
| Cross-currency swaps | 4-10% p.a. | High | Long-term, limited availability |
| Inflation indexation | Built into contracts | Partial | Addresses local inflation, not FX |
EXXING Recommendation: Structure transactions with USD-denominated anchor contracts (international MNOs, enterprise customers) covering at least 40% of revenue to create natural currency hedge.
Country Risk Assessment
EXXING's country risk framework evaluates:
| Dimension | Indicators | Weight |
|---|---|---|
| Regulatory stability | Licence security, tariff predictability, dispute resolution | 30% |
| Macroeconomic | Inflation, currency stability, sovereign credit rating | 25% |
| Political | Government stability, policy continuity, rule of law | 20% |
| Operational | Power availability, security, skilled labour | 15% |
| Market | Competition intensity, growth potential, customer concentration | 10% |
Risk-Adjusted WACC: Country risk premium typically adds 3-8 percentage points to developed market WACC for African infrastructure investments.
Value Creation Strategies
Operational Excellence
Post-acquisition value creation focuses on:
Energy Optimisation: Power costs represent 25-40% of TowerCo operating expenses in Africa. Strategies include:
- Solar/battery hybrid systems (30-50% cost reduction)
- Power purchase agreements with independent producers
- Smart metering and theft reduction
Maintenance Efficiency: Preventive maintenance programmes reduce:
- Unplanned downtime (SLA penalties)
- Emergency repair costs
- Tenant churn from service quality issues
Tenant Management: Active relationship management to:
- Identify co-location opportunities
- Negotiate contract renewals
- Cross-sell additional services (power, security, maintenance)
Portfolio Optimisation
Geographic Rationalisation: Divest low-potential rural sites; reinvest in high-growth urban corridors.
Technology Upgrade: Prepare sites for 5G densification requirements (power capacity, structural strength, fibre backhaul).
Consolidation: Acquire smaller portfolios to achieve scale economies in operations and procurement.
Exit Preparation
Documentation: Maintain comprehensive site-level data for due diligence.
Contract Quality: Extend and improve anchor tenant contracts before exit.
Operational Metrics: Demonstrate consistent improvement in KPIs (tenancy, uptime, cost efficiency).
Case Study: Pan-African TowerCo Investment
EXXING advised a European infrastructure fund on a $180 million investment in a pan-African TowerCo with operations in four countries.
Investment Thesis
| Element | Assessment |
|---|---|
| Portfolio | 4,200 towers across Nigeria, Ghana, Ivory Coast, Senegal |
| Tenancy ratio | 1.65 (below regional average of 1.8) |
| Anchor tenants | Two international MNO groups (85% of revenue) |
| Contract duration | Average 12 years remaining |
| Value creation opportunity | Tenancy improvement, energy optimisation, geographic expansion |
Due Diligence Findings
| Area | Finding | Implication |
|---|---|---|
| Contract analysis | 15% of sites had informal arrangements | Formalisation required; revenue at risk |
| Site quality | 22% required structural upgrades for 5G | CAPEX requirement underestimated |
| Power costs | 38% of OPEX; only 8% solar penetration | Significant optimisation opportunity |
| Land tenure | 12% of sites had lease issues | Legal remediation required |
Value Creation Plan
| Initiative | Investment | IRR Impact |
|---|---|---|
| Contract formalisation | $2M | +2pp |
| Solar rollout (500 sites) | $15M | +3pp |
| Tenancy improvement programme | $5M | +4pp |
| Geographic expansion (300 new sites) | $25M | +2pp |
| Total | $47M | +11pp |
Outcome
The investment achieved a 2.4x multiple over five years, driven by tenancy improvement from 1.65 to 2.1 and EBITDA margin expansion from 52% to 61%.
Conclusion
Digital infrastructure investment in emerging markets offers compelling returns for investors who understand the specific risks and value creation levers. Success requires:
Rigorous Valuation: DCF-based analysis with comprehensive sensitivity testing, avoiding over-reliance on comparable multiples.
Operational Expertise: Deep understanding of tower and fibre economics, including tenant dynamics, cost drivers, and technology evolution.
Risk Management: Structured approach to currency, regulatory, and operational risks through contract design and hedging strategies.
Active Ownership: Post-acquisition value creation through operational improvement, portfolio optimisation, and strategic positioning.
EXXING combines financial expertise with operational knowledge across African and emerging market infrastructure, supporting investors from deal origination through exit.
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References
[1] Preqin (2024). Global Infrastructure Report 2024. Preqin Ltd.
[2] GSMA (2024). The Mobile Economy Sub-Saharan Africa 2024. GSM Association.
[3] TowerXchange (2024). Africa Towerco Market Analysis. TowerXchange.
[4] Analysys Mason (2024). African Fibre Market Outlook. Analysys Mason.
[5] McKinsey & Company (2023). Digital Infrastructure: The Backbone of the Digital Economy. McKinsey Global Institute.
