Use case
Bank, private credit or lender due diligence
Download the CSV, open it in Excel or Google Sheets, customise the rows, then upload the finished index to Data Room Builder. The columns are intentionally simple: Level 1, Level 2, Level 3 and Notes.
| Level 1 | Level 2 | Level 3 | Notes |
|---|---|---|---|
| 01 Borrower Overview | Group structure | — | Borrower, guarantors and subsidiaries |
| 02 Financials | Historical financials | — | Audited accounts and management accounts |
| 03 Debt and Capital Structure | Existing debt schedule | — | Facilities, maturities, pricing and security |
| 04 Cash Flow | Cash flow forecast | — | Base case and downside case |
| 05 Collateral | Asset schedules | — | Receivables, inventory, fixed assets or pledged shares |
| 06 Contracts | Material contracts | — | Customer, supplier and lease agreements |
| 07 Legal | Corporate approvals | — | Authorisations, board approvals and consents |
Implementation tips
- Put lender model materials and source financial documents in separate folders.
- Highlight existing debt, liens and covenants early.
- Align folder names to lender request-list wording to reduce follow-up questions.
FAQs
What do lenders look for in a data room?
Lenders usually focus on debt capacity, historical performance, cash flow, collateral, contracts, legal structure and covenant risks.
Is a debt data room different from an M&A data room?
Yes. It is usually more focused on repayment capacity, collateral, security, debt structure and cash-flow downside scenarios.