Calculate the earnings per share (EPS), a valuation ratio that measures the amount of net income earned per share of outstanding common stock.

The earnings per share (EPS) is a widely used financial metric that helps investors understand the profitability of a company on a per-share basis. It provides insight into the portion of a company’s earnings that is allocated to each outstanding share of its common stock. EPS is an important measure for investors and analysts when assessing a company’s financial performance and comparing it to other companies.

The formula is as follows:

\[\text{Earnings per Share} (\text{EPS}) = (\text{Net Income} - | \text{Preferred Dividends Paid} |) / \text{Weighted Average Shares}\]

Also known as: EPS, net income per share.

No programming experience? With the Finance Toolkit MCP server, AI assistants such as Claude and ChatGPT can calculate the Earnings per Share (EPS) for you. Just ask in plain English.

Calculate the Earnings per Share (EPS) in Python

The Earnings per Share (EPS) is available in the Ratios module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_earnings_per_share as shown below.

from financetoolkit import Toolkit

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

eps_ratios = toolkit.ratios.get_earnings_per_share()

Which returns:

  2021 2022 2023 2024 2025
AAPL 5.614 6.1132 6.1341 6.0836 7.465
TSLA 1.6341 3.6213 4.3067 2.0383 1.0754

Parameters

get_earnings_per_share accepts the following parameters:

  • include_dividends (bool, optional): Whether to include dividends in the EPS calculation. Defaults to False.
  • diluted (bool, optional): Whether to use diluted earnings per share. 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.
Revenue per Share (RPS) Price to Earnings Ratio (PE) Price to Earnings Growth Ratio (PEG) Forward Price to Earnings Ratio (Forward PE) Forward Price to Earnings Growth Ratio (Forward PEG) Book Value per Share Price to Book Ratio (PB) Interest Debt per Share CAPEX per Share Dividend Yield Weighted Dividend Yield Price to Cash Flow Ratio (P/CF)

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

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