How Debt Sizing Works in Project Finance
Debt sizing is the process of determining the maximum amount of debt a project can support based on its expected cash flows. Unlike corporate finance where debt capacity is based on balance sheet metrics, project finance debt is sized purely on the project's ability to service that debt from operating cash flows.
The Core Principle
In project finance, debt is sized so that the project can always pay its debt service with a comfortable margin. This margin is expressed as the Debt Service Coverage Ratio (DSCR).
Once you know the maximum debt service the project can support each period, you work backwards to calculate the debt principal that corresponds to those payments.
Two Approaches to Debt Sizing
1. Mortgage-Style (Level Payments)
Like a home mortgage, the project pays the same total amount each period. Early payments are mostly interest; later payments are mostly principal.
Pros: Simple to model, predictable payments
Cons: Doesn't optimize for projects with uneven cash flows
2. Sculpted Debt
Debt service is "sculpted" to match the project's cash flow profile. If cash flows are higher in some years, debt service is higher in those years.
Pros: Maximizes debt capacity, maintains constant DSCR
Cons: More complex, requires detailed cash flow forecasting
The Debt Sizing Process
Here's the step-by-step process for sizing debt:
- Project cash flows: Build a detailed operating model with revenue, opex, taxes, and maintenance capex
- Calculate CFADS: For each period, determine Cash Flow Available for Debt Service
- Apply target DSCR: Divide CFADS by target DSCR to get maximum debt service per period
- Subtract interest: From max debt service, subtract interest to get principal repayment capacity
- Size the debt: The debt amount that produces these principal payments (at the given interest rate and tenor) is your maximum debt
Simplified Example
A solar project has CFADS of $12 million/year for 15 years. The lender requires a minimum 1.35x DSCR. Interest rate is 6%.
Maximum annual debt service = $12M ÷ 1.35 = $8.9M
Using a financial calculator or model, an annuity of $8.9M for 15 years at 6% corresponds to a debt principal of approximately $86 million.
Constraints on Debt Sizing
Several factors can constrain debt below the DSCR-implied maximum:
| Constraint | Description |
|---|---|
| Gearing ratio | Maximum debt as % of total project cost (e.g., 75-80%) |
| LLCR | Loan Life Coverage Ratio must exceed minimum (e.g., 1.20x) |
| Tenor limits | Debt must be repaid before PPA expires or within lender limits |
| Tail requirement | Contract must extend beyond debt maturity (e.g., 2 year tail) |
| Minimum equity | Sponsors must contribute minimum equity (e.g., 20-25%) |
The binding constraint — whichever limits debt the most — determines the final debt size.
Debt Sculpting in Practice
With sculpted debt, the model iteratively calculates:
- Start with an assumed debt amount
- Calculate interest expense based on opening balance
- Maximum principal = (CFADS ÷ Target DSCR) − Interest
- Closing balance = Opening − Principal repayment
- Iterate until debt is fully repaid within the allowed tenor
The result is a repayment schedule where the DSCR is constant (at the target level) in every period, and debt service varies with cash flow.
Construction Period Considerations
During construction, there's no revenue and therefore no CFADS. Debt sizing must account for:
- Construction interest: Interest accruing during construction is typically capitalized (added to the loan)
- IDC (Interest During Construction): Must be included in total debt amount
- Fees and reserves: Upfront fees and DSRA funding often come from debt
Sensitivity Analysis
Lenders run sensitivities to stress-test debt sizing:
- P90 production: What if energy output is at the 90th percentile downside?
- Interest rate stress: What if rates rise 200 bps?
- Price sensitivity: What if merchant prices fall 20%?
- Opex overrun: What if operating costs are 10% higher?
Debt is often sized to the "downside case" — ensuring the project can meet coverage ratios even in adverse scenarios.
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