Calculate the interest paid to interest expense ratio, which measures how much of the accrual-based interest expense reported on the income statement was actually paid out in cash during the period.

A ratio consistently below one can indicate that interest is being accrued (e.g. on payment-in-kind debt) rather than paid, while a ratio well above one can indicate the payment of previously accrued interest or a mismatch between the cash and accrual reporting periods, both of which are relevant quality-of-earnings signals.

The formula is as follows:

\[\text{Interest Paid to Expense Ratio} = \text{Interest Paid} / \text{Interest Expense}\]

Also known as: cash interest coverage, interest cash conversion.

Interest Paid to Interest Expense Ratio in Python

get_interest_paid_to_expense_ratio is part of the Ratios module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_interest_paid_to_expense_ratio as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(["AAPL", "TSLA"], api_key="FINANCIAL_MODELING_PREP_KEY")

interest_paid_to_expense_ratios = toolkit.ratios.get_interest_paid_to_expense_ratio()

Which returns:

  2021 2022 2023 2024 2025
AAPL 1.0159 0.9775 0.9669 - -
TSLA 0.717 0.7958 0.8077 0.7914 0

Parameters

get_interest_paid_to_expense_ratio accepts the following parameters:

  • rounding (int, optional): The number of decimals to round the results to. Defaults to 4.
  • growth (bool, optional): Whether to calculate the growth of the ratios. Defaults to False.
  • lag (int | str, optional): The lag to use for the growth calculation. Defaults to 1.
  • standardize (bool, optional): Whether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False.
  • trailing (int): Defines whether to select a trailing period. E.g. when selecting 4 with quarterly data, the TTM is calculated.
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