CaseMark Analyzing Infrastructure Asset Valuations
When To Use
- Valuing a brownfield infrastructure asset for acquisition, disposition, or refinancing
- Analyzing a regulated utility's rate base and allowed return for investment screening
- Benchmarking a proposed PPP/concession price against comparable transactions
- Supporting bid pricing for infrastructure fund portfolio assets (toll roads, airports, water/wastewater, energy transmission, district energy)
- Assessing fair market value for GP/LP reporting, NAV calculations, or impairment testing
Inputs To Gather
- Asset profile: asset type (regulated utility, contracted, merchant/hybrid), jurisdiction, remaining concession or useful life, capacity/throughput metrics
- Financial data: historical and projected revenue, EBITDA, capex (maintenance vs. growth), working capital, debt structure and covenants
- Regulatory framework: rate-setting mechanism (cost-of-service, incentive/performance-based, hybrid), rate case cycle, allowed ROE/WACC, regulatory asset base (RAB) roll-forward methodology [VERIFY against jurisdiction-specific tariff orders]
- Contractual terms: offtake/PPA/availability payment structure, escalation mechanisms (CPI-linked, fixed, regulatory reset), termination and handback provisions
- Comparable transactions: recent M&A comps (EV/EBITDA, EV/RAB, price-per-MW, price-per-lane-km), premium/discount drivers
- Macro assumptions: inflation curve, risk-free rate, country risk premium, sector beta, illiquidity discount (if private)
Workflow
Classify the asset and select valuation approaches
- Determine primary methodology based on asset type:
- Regulated assets → RAB-based valuation (RAB × allowed return build-up) cross-checked with DCF
- Contracted assets (PPP, availability-based) → project-finance DCF with contracted cash flows
- Merchant/hybrid assets → DCF with probability-weighted revenue scenarios plus comparable transactions
- Identify whether a sum-of-the-parts approach is needed for diversified portfolios
- Determine primary methodology based on asset type:
Build the DCF model
- Forecast free cash flows to firm (FCFF) over the concession/asset life or a defined projection period
- Apply appropriate discount rate: nominal vs. real WACC, pre-tax vs. post-tax, reflecting regulatory allowed return where applicable [VERIFY WACC components against current market benchmarks]
- Model terminal value only where asset life extends beyond projection horizon; for finite-life concessions, use explicit cash flows to handback
- Stress-test key drivers: traffic/volume ramp, tariff escalation, capex overruns, refinancing risk
Perform RAB-based valuation (regulated assets)
- Roll forward the regulated asset base: opening RAB + capex additions − regulatory depreciation ± inflation indexation [VERIFY RAB methodology per regulator]
- Apply allowed return (equity + debt components) to derive regulated revenue requirement
- Assess RAB multiples (EV/RAB) and compare to observable trading and transaction multiples for the sector/jurisdiction
- Identify regulatory risk factors: periodic review resets, efficiency targets (X-factor), stranded asset risk
Run comparable transaction analysis
- Select comps by sub-sector, geography, contract type, and vintage
- Normalize multiples for leverage differences, remaining life, growth capex embedded in price, and regulatory regime quality
- Apply EV/EBITDA, EV/RAB, or sector-specific unit metrics (e.g., $/MW for renewables, $/million-gallons-per-day for water)
- Adjust for control premium, portfolio premium/discount, and liquidity
Triangulate and reconcile
- Present a valuation range from each methodology in a summary table
- Identify and explain key sources of divergence across methods
- State the preferred methodology with rationale tied to asset characteristics
- Flag sensitivity of valuation to top-3 assumptions (discount rate, volume/growth, regulatory reset)
Output
- Valuation summary table: methodology, low/base/high range, implied multiples
- DCF detail: projection period cash flows, discount rate build-up, terminal/handback value, sensitivity tornado chart
- RAB analysis (if applicable): RAB roll-forward schedule, allowed return calculation, EV/RAB implied vs. comps
- Comparable transactions table: deal name, date, sub-sector, geography, EV, multiples, adjustments applied
- Key risk factors: regulatory, volume, contractual, political/country, refinancing
- Recommendation / fair value conclusion: point estimate or range with stated confidence level
Quality Checks
- Discount rate components sourced from current market data and consistent with asset risk profile (do not apply corporate WACC to project-level cash flows)
- RAB roll-forward ties to most recent regulatory determination or tariff filing [VERIFY]
- Comparable transactions are filtered for relevance — comps older than 5 years or from materially different regulatory regimes flagged with caveat
- Cash flow projections internally consistent (revenue growth aligns with volume and tariff assumptions; capex aligns with asset condition / regulatory commitments)
- Inflation assumptions explicit and consistent across nominal/real frameworks — no mixing of nominal cash flows with real discount rates
- All jurisdiction-specific regulatory parameters (allowed ROE, gearing, depreciation method, incentive mechanisms) marked [VERIFY] where sourced from secondary data
- Sensitivity analysis covers at minimum: ±100 bps on discount rate, ±10–20% on volume/revenue, and capex overrun scenario