Calculate the price to book ratio, a valuation ratio that compares a company’s market price to its book value per share.

The price to book ratio is a key valuation metric that helps investors assess whether a company’s stock is overvalued or undervalued relative to its underlying net asset value.

The formula is as follows:

\[\text{Price to Book Ratio} = \text{Share Price} / \text{Book Value per Share}\]

Also known as: P/B ratio.

No programming experience? With the Finance Toolkit MCP server, AI assistants such as Claude and ChatGPT can calculate the Price to Book Ratio (PB) for you. Just ask in plain English.

Calculate the Price to Book Ratio (PB) in Python

The Price to Book Ratio (PB) is available in the Ratios module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_price_to_book_ratio as shown below.

from financetoolkit import Toolkit

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

price_to_book_ratio = toolkit.ratios.get_price_to_book_ratio()

Which returns:

  2021 2022 2023 2024 2025
AAPL 47.4672 41.8616 48.9873 67.7525 55.3236
TSLA 39.5096 9.5752 13.8166 19.3742 19.3166

Parameters

get_price_to_book_ratio accepts the following parameters:

  • 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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