Calculate the cash interest coverage ratio, the number of times the operating cash flow before interest and taxes covers the interest paid in cash.

Where the interest coverage compares accrual figures (earnings with the interest expense), this ratio compares cash with cash, so it is not flattered by earnings that are not received in cash or by interest that is accrued (payment-in-kind debt) rather than paid.

The formula is as follows:

\[\text{Cash Interest Coverage} = (\text{Cash Flow from Operations} + \text{Interest Paid} + \text{Income Taxes Paid}) / \text{Interest Paid}\]

Under US GAAP the interest and taxes paid are part of the cash flow from operations, so they are added back. IFRS lets companies report the interest paid under financing activities instead, in which case adding it back overstates the coverage by one. A zero or unreported interest paid gives NaN.

Also known as: cash flow interest coverage, CFO interest coverage, cash coverage ratio.

Cash Interest Coverage in Python or via the MCP

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_cash_interest_coverage_ratio as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(
    ["T", "UNP", "HSY"],
    api_key="FINANCIAL_MODELING_PREP_KEY",
    start_date="2021-01-01",
    end_date="2025-12-31",
)

toolkit.ratios.get_cash_interest_coverage_ratio()

Or, after setting up the Finance Toolkit MCP, ask:

How many times did the operating cash flow of AT&T, Union Pacific and Hershey cover the interest they paid from 2021 to 2025?

Which returns:

  2021 2022 2023 2024 2025
HSY 19.4618 20.3474 17.3451 16.2044 13.3412
T 6.6391 5.1965 6.4156 6.7806 nan
UNP 10.8344 10.8806 8.78 9.481 8.5004

Parameters

get_cash_interest_coverage_ratio accepts the following parameters.

ParameterTypeDescriptionExample
roundingint | NoneThe number of decimals to round the results to. Defaults to None, which uses the rounding of the Toolkit (4 unless set otherwise).2
growthboolWhether to calculate the growth of the ratios. Defaults to False.True
lagint | list[int]The lag to use for the growth calculation. Defaults to 1.4
compoundboolWhether the growth is the compound annual growth rate over the lag (e.g. lag=5 for the five-year CAGR) instead of the total change. Defaults to False.False
standardizeboolWhether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False.True
trailingintThe number of periods to sum flows (income and cash flow statement items) over. E.g. 4 with quarterly data gives the trailing twelve months (TTM) and 3 with annual data a three-year cumulative figure. Defaults to None, which uses single-period flows.4
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