Credit
Corporate credit analysis
Assess a corporate borrower with the 5 Cs and credit ratios — Rawdah Home Retail Co. asks Najd for a term loan.
Learning objectives
- Structure a credit assessment with the 5 Cs
- Calculate leverage, interest cover, gearing and free cash flow for a borrower
- Test a loan request pro forma and under stress against illustrative policy limits
A lender's question is narrower than an investor's: will this borrower pay interest and repay principal on time, even if things go wrong? Upside matters little to a lender; the downside matters a great deal. Credit analysts therefore look hard at cash flow, leverage and what happens under stress.
In this lesson Rawdah Home Retail Co. — the fictional retailer from the Financial Statement Analysis track — asks Najd Commercial Bank (also fictional) for a SAR 120m five-year term loan to fund new stores. You'll assess the request with Najd's illustrative credit policy. The thresholds are educational examples, not any bank's rules.
The 5 Cs organise the judgement:
- Character — the borrower's track record, management quality, governance and repayment history.
- Capacity — the ability to service debt from cash flow: EBITDA, free cash flow, interest cover, leverage.
- Capital — the equity cushion beneath the lender: gearing (debt ÷ equity).
- Collateral — security and guarantees that reduce the loss if default happens (they lower LGD, not PD).
- Conditions — the industry, the economy, the purpose and the loan's terms.
Capacity comes first: collateral is a fallback, not a source of repayment.
Net debt ÷ EBITDA Interest cover = EBIT ÷ Interest expense Gearing = Debt ÷ Equity FCF = CFO − Capex
- Net debt
- borrowings − cash
- EBITDA
- earnings before interest, tax, depreciation and amortization — a proxy for operating cash earnings
- EBIT
- operating profit, after depreciation
- CFO
- cash from operations (after working-capital investment, interest and tax)
- Pro forma
- restated as if the new loan already existed
Data
| CFO | Capex | Free cash flow | |
|---|---|---|---|
| FY2023 | 129 | 62 | 67 |
| FY2024 | 93 | 85 | 7.8 |
| FY2025 | 83 | 96 | -13 |
From metrics to a decision. A credit officer works in a fixed order: understand the business and the purpose of the loan; calculate the historical metrics; restate them pro forma; stress them; then decide whether to approve, decline or restructure. Restructuring is the most common answer to a borderline case — a smaller amount, amortization matched to cash flow, financial covenants, or security that lowers LGD.
Headroom is a useful way to read the pro forma numbers. At 387.5 of pro forma net debt, Rawdah's leverage would reach Najd's illustrative 3.0x limit if EBITDA fell to 387.5 ÷ 3.0 = 129.2, a decline of 31.0% from FY2025. Whether that cushion is comfortable depends on how volatile a home retailer's earnings are — which is the "conditions" judgement no ratio makes for you. The next lesson turns this kind of assessment into numbers a bank can provision and price: probability of default, loss given default and exposure.
Calculate
At the end of FY2025 Rawdah (fictional) had debt of 355.0, cash of 87.5 and FY2025 EBITDA of 187.1 (SAR m). It asks for a new 120 term loan, to be spent on stores (cash unchanged). What is pro forma net debt ÷ EBITDA? Give two decimal places.
Check your understanding
Rawdah's cash from operations fell from 128.7 in FY2023 to 83.0 in FY2025 while capex rose from 62.0 to 96.0. Which of the 5 Cs does this evidence mainly bear on, and why does it matter for the loan?
Challenge: Assess Rawdah's loan request
Rawdah Home Retail Co. (fictional, SAR m) asks Najd for a 120 term loan. (1) Calculate the credit metrics for FY2023–FY2025 in B11:D14. (2) In column G, restate FY2025 pro forma for the loan (full-year interest; proceeds spent, so cash is unchanged) and under an EBITDA stress (EBIT falls by the same amount as EBITDA). (3) Test the stressed position against Najd's illustrative policy limits in G14: return "Within" or "Outside".
| A | B | C | D | E | F | G | |
|---|---|---|---|---|---|---|---|
| 1 | Rawdah, SAR m | FY2023 | FY2024 | FY2025 | Loan request and stress | Value | |
| 2 | EBITDA | 186.0 | 182.0 | 187.1 | New term loan (SAR m) | 120 | |
| 3 | EBIT | 148.0 | 140.0 | 140.1 | Rate on new loan | 7.0% | |
| 4 | Interest expense | 15.6 | 17.4 | 21.1 | EBITDA stress (decline) | 15% | |
| 5 | Debt | 280.0 | 325.0 | 355.0 | Policy: max net debt ÷ EBITDA | 3.0x | |
| 6 | Cash | 110.7 | 118.5 | 87.5 | Policy: min EBIT ÷ interest | 3.0x | |
| 7 | Equity | 394.9 | 448.0 | 495.2 | Pro forma FY2025, stressed | ||
| 8 | Cash from operations | 128.7 | 92.8 | 83.0 | Stressed EBITDA | ||
| 9 | Capex (spend) | 62.0 | 85.0 | 96.0 | Stressed EBIT | ||
| 10 | Credit metrics | FY2023 | FY2024 | FY2025 | Pro forma interest | ||
| 11 | Net debt ÷ EBITDA | Pro forma net debt | |||||
| 12 | EBIT ÷ interest | Stressed net debt ÷ EBITDA | |||||
| 13 | Debt ÷ equity | Stressed EBIT ÷ interest | |||||
| 14 | Free cash flow | Within policy? |
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