How to Calculate and Interpret Coverage Ratios: A Guide to Assessing a Company’s Debt Servicing Ability
November 27, 2024

What are Coverage Ratios?
Coverage ratios are financial metrics that measure a company’s ability to meet its debt servicing obligations. Unlike leverage ratios, which focus on the balance sheet by comparing debt to equity or assets, coverage ratios look at income statements and cash flows. They help determine whether a company has sufficient earnings or cash flow to cover its interest payments and other debt-related expenses.
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Types of Coverage Ratios
Interest Coverage Ratio (ICR)
Definition and Formula
The Interest Coverage Ratio (ICR) measures a company’s ability to pay interest on its outstanding debt. The formula for ICR is:
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[ \text{ICR} = \frac{\text{EBIT}}{\text{Interest Expense}} ]
where EBIT stands for Earnings Before Interest and Taxes. There are variations of this formula that use EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) or even EBITDA minus capital expenditures for more nuanced analyses.
Calculation Example
Let’s consider an example: if a company has an EBIT of $100 million and an interest expense of $20 million, its ICR would be:
[ \text{ICR} = \frac{100 \text{ million}}{20 \text{ million}} = 5.0x ]
This means the company has enough earnings to cover its interest expenses five times over.
Interpretation
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The interpretation of ICR values is critical. A ratio of 1.5 or lower indicates high risk because the company barely covers its interest payments. On the other hand, an ICR above 3 is generally more acceptable as it suggests robust financial health.
Debt Service Coverage Ratio (DSCR)
Definition and Formula
The Debt Service Coverage Ratio (DSCR) measures a company’s ability to pay both interest and principal on its debt. The formula for DSCR is:
[ \text{DSCR} = \frac{\text{Unlevered Free Cash Flows}}{\text{Total Debt Service}} ]
This ratio considers not just interest but also the principal amount of the debt.
Calculation Example
For instance, if a company has unlevered free cash flows of $50 million and total debt service obligations of $40 million, its DSCR would be:
[ \text{DSCR} = \frac{50 \text{ million}}{40 \text{ million}} = 1.25x ]
Interpretation
A DSCR above 1 indicates that the company can cover its total debt service obligations from its cash flows. However, this threshold can vary by project risk; more risky projects may require higher DSCR values.
Asset Coverage Ratio (ACR)
Definition and Formula
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The Asset Coverage Ratio (ACR) measures a company’s ability to meet its debt obligations by selling its assets. The formula for ACR is:
[ \text{ACR} = \frac{\text{Total Assets} – \text{Intangible Assets} – \text{Current Liabilities}}{\text{Total Debt Obligations}} ]
Interpretation
This ratio is particularly significant if the company cannot generate enough income to repay its debt through earnings alone. It provides a snapshot of whether the company’s tangible assets could cover its debts in case of liquidation.
Cash Coverage Ratio (CCR)
Definition and Formula
The Cash Coverage Ratio (CCR) measures a company’s ability to pay interest expenses from its available cash. The formula for CCR is:
[ \text{CCR} = \frac{\text{EBIT} + \text{Non-Cash Expenses}}{\text{Interest Expense}} ]
Interpretation
An ideal CCR value is typically above 1.5, indicating that the company has sufficient cash flow from operations to cover its interest expenses comfortably.
Industry Variations and Limitations
Industry Variations
Coverage ratios can vary significantly across different industries. For example, utilities often have stable cash flows and thus higher coverage ratios compared to more volatile industries like manufacturing or technology. Understanding these industry norms is essential when interpreting coverage ratios.
Limitations
While coverage ratios are powerful tools, they have limitations. For instance, they should be compared with industry peers to get a true picture of financial health. Additionally, certain types of debt might be excluded from these calculations, which could skew the results if not accounted for properly.
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