Calculate the research and development (R&D) intensity ratio, an efficiency ratio that measures how much a company reinvests in research and development relative to its revenue.

This ratio is particularly relevant for comparing companies in technology, pharmaceutical and other innovation-driven industries, where R&D spending is a key driver of future growth.

The formula is as follows:

\[\text{R\&D} \text{Intensity Ratio} = \text{Research and Development Expenses} / \text{Revenue}\]

Also known as: R&D intensity, R&D to sales ratio.

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Calculate the Research and Development Ratio in Python

The Research and Development Ratio is available in the Ratios module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_research_and_development_ratio as shown below.

from financetoolkit import Toolkit

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

rd_ratios = toolkit.ratios.get_research_and_development_ratio()

Which returns:

  2021 2022 2023 2024 2025
AAPL 0.0599 0.0666 0.078 0.0802 0.083
TSLA 0.0482 0.0377 0.041 0.0465 0.0676

Parameters

get_research_and_development_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.

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

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