A different credit
A utility-scale project has one offtaker and one contract. A mini-grid or distributed solar business has thousands of customers paying small amounts, often prepaid, with collection rates that vary by season and location.
That is not a worse credit, but it is a different one, and structures borrowed from project finance do not fit it.
What lenders actually assess
Collection performance, not contracted revenue. The operative data is what proportion of expected payments are actually collected, by cohort and over time. A business with two years of collection data across several sites is financeable in a way that a business with projections is not.
Customer acquisition cost and churn. Unit economics depend on how much it costs to connect a customer and how long they stay. These drive the model more than tariff does.
Portfolio concentration. A portfolio spread across regions and customer types is more robust than one concentrated in a single area subject to one harvest cycle or one local economy.
Technology and maintenance. Asset life depends on maintenance reaching dispersed sites. Businesses that have solved rural maintenance logistics are materially different credits from those that have not.
Structures in use
Receivables financing. Lending against the payment streams of an existing customer base, with performance triggers. This scales as the base grows and prices off demonstrated collection.
Portfolio-level debt with first loss. Development capital takes a first-loss position, commercial capital lends above it, and the whole portfolio rather than individual sites is the borrowing base.
Results-based financing. Public or concessional payments per connection, which improves unit economics and often arrives after the connection is made — creating a working capital need of its own.
Local currency at the operating level. Customers pay in local currency. Hard-currency debt in this sector concentrates currency risk in a business with thin margins, and structures that do not address it tend to fail on devaluation rather than on operations.
What to build before seeking debt
- Collection data with enough history and cohort detail to be analysed
- Unit economics that hold after realistic acquisition and maintenance costs
- Geographic and customer diversification within the portfolio
- A maintenance model that has been tested at distance
- A currency position that does not put devaluation risk on a thin-margin business
The sector has matured from grant-funded pilots to businesses with real portfolios. The financing follows the data, and the operators who kept good data are the ones raising capital.
