Calculates the Enterprise Value (EV) of a company. The Enterprise Value (EV) is a measure of a company’s total value, often used as a more comprehensive alternative to market capitalization. It is calculated as the sum of a company’s market capitalization, outstanding debt, minority interest, and preferred equity, minus the cash and cash equivalents.

The formula is as follows:

\[\text{Enterprise Value} = \text{Market Capitalization} + \text{Total Debt} + \text{Minority Interest} + \text{Preferred Equity}\]
  • (Cash and Cash Equivalents + Short Term Investments)

Enterprise value is the price of the whole business, equity and debt together, which makes it the right numerator for multiples of operating results such as EV to EBITDA or EV to sales, and comparable across companies with different capital structures. Cash and marketable securities (short-term investments) are both deducted (Damodaran), since both are available to pay off the debt. Enterprise value is a point-in-time value: the market cap and the balance sheet items are taken at the end of each period, or on each day with show_daily, where each day uses the balance sheet of the latest period that has ended.

Also known as: EV, total enterprise value.

Enterprise Value in Python or via the MCP

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_enterprise_value as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(
    ["NFLX", "DIS", "WBD"],
    api_key="FINANCIAL_MODELING_PREP_KEY",
    start_date="2021-01-01",
    end_date="2025-12-31",
)

toolkit.ratios.get_enterprise_value()

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

What were the enterprise values of Netflix, Disney and Warner Bros. Discovery from 2021 to 2025?

Which returns:

  2021 2022 2023 2024 2025
DIS 3.39164e+11 2.12744e+11 2.15456e+11 2.52223e+11 2.50508e+11
NFLX 2.86423e+11 1.41371e+11 2.28687e+11 3.99933e+11 4.10176e+11
WBD 2.83757e+10 6.52312e+10 6.88567e+10 6.09905e+10 1.02163e+11

Parameters

get_enterprise_value accepts the following parameters.

ParameterTypeDescriptionExample
show_dailyboolWhether to show daily values: the close of each trading day against the statement figures of the latest period that has ended on or before that day (also when it ended before the start date), so no figures are used before their period closes. Defaults to False.True
dilutedboolWhether to use diluted shares in the calculation. Defaults to True.False
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
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