Calculate the buyback yield, a valuation ratio that measures the net amount of common stock repurchased (net of new shares issued) relative to the company’s market capitalization.

A positive buyback yield means the company is a net repurchaser of its own stock (shareholder-friendly), while a negative buyback yield means the company is a net issuer of new shares (dilutive).

The formula is as follows:

\[\text{Buyback Yield} = - (\text{Common Stock Purchased} + \text{Common Stock Issued}) / \text{Market Capitalization}\]

Also known as: net repurchase yield.

Buyback Yield in Python

get_buyback_yield is part of the Ratios module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_buyback_yield as shown below.

from financetoolkit import Toolkit

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

buyback_yields = toolkit.ratios.get_buyback_yield()

Which returns:

  2021 2022 2023 2024 2025
AAPL 0.0283 0.0421 0.0255 0.0246 0.0222
TSLA -0.0006 -0.0013 -0.0008 -0.0009 -0.0001

Parameters

get_buyback_yield 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.
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