Calculate the enterprise value over earnings before interest and taxes (EBIT) ratio, which is a valuation metric that compares a company’s total value (including debt and equity) relative to its earnings before interest and taxes.

The formula is as follows:

\[\text{Enterprise Value to EBIT Ratio} = \text{Enterprise Value} / \text{EBIT}\]

No programming experience? With the Finance Toolkit MCP server, AI assistants such as Claude and ChatGPT can calculate the EV to EBIT for you. Just ask in plain English.

Calculate the EV to EBIT in Python

The EV to EBIT is available in the Ratios module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_ev_to_ebit as shown below.

from financetoolkit import Toolkit

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

ev_to_ebit_ratio = toolkit.ratios.get_ev_to_ebit()

Which returns:

  2021 2022 2023 2024 2025
AAPL 27.682 18.274 26.671 31.9683 31.3091
TSLA 179.531 30.11 84.6508 151.431 284.285

Parameters

get_ev_to_ebit accepts the following parameters:

  • show_daily (bool, optional): Whether to show daily data. Defaults to False.
  • diluted (bool, optional): Whether to use diluted shares in the calculation. Defaults to True.
  • 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.

The Ratios module page introduces the module, and the sidebar lists all of its functions.

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