Calculate the net current asset value, a conservative liquidation-value metric introduced by Benjamin Graham that represents the total value of a company’s current assets minus all of its liabilities (not just its current liabilities). It approximates what would be left for shareholders if the company were liquidated, paying off every liability using only the current (most liquid) assets and ignoring any value from fixed/non-current assets.

The formula is as follows:

\[\text{Net Current Asset Value} = \text{Total Current Assets} - \text{Total Liabilities}\]

Also known as: NCAV. Note that NCAV is related to, but distinct from, the Graham Number (sqrt(22.5 * Earnings per Share * Book Value per Share), see Toolkit.models.get_graham_number) - both are Benjamin Graham value-investing metrics, but NCAV is a liquidation-value estimate while the Graham Number is a fair-value price estimate based on earnings and book value.

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Calculate the Net Current Asset Value in Python

The Net Current Asset Value is available in the Ratios module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_net_current_asset_value as shown below.

from financetoolkit import Toolkit

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

net_current_asset_value = toolkit.ratios.get_net_current_asset_value()

Which returns:

  2021 2022 2023 2024 2025
AAPL -1.5308e+11 -1.6668e+11 -1.4687e+11 -1.5504e+11 -1.3755e+11
TSLA -3.448e+09 4.477e+09 6.607e+09 9.97e+09 1.3701e+10

Parameters

get_net_current_asset_value 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.

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

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