Earnings per Share (EPS)

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:

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

The preferred dividends are only deducted when include_dividends is True; with the default, EPS is net income divided by the weighted average (diluted) shares.

Also known as: EPS, net income per share.

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_earnings_per_share as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(
    ["V", "MA", "AXP"],
    api_key="FINANCIAL_MODELING_PREP_KEY",
    start_date="2021-01-01",
    end_date="2025-12-31",
)

toolkit.ratios.get_earnings_per_share()

Or, after setting up the Finance Toolkit MCP, ask:

What were the diluted earnings per share of Visa, Mastercard and American Express from 2021 to 2025?

Which returns:

	2021	2022	2023	2024	2025
AXP	10.0215	9.8404	11.212	14.0182	15.375
MA	8.7571	10.2266	11.834	13.8878	16.6682
V	5.6266	7.0023	8.2844	9.7304	10.0982

Parameters

get_earnings_per_share accepts the following parameters.

Parameter	Type	Description	Example
`include_dividends`	`bool`	Whether to deduct the preferred dividends paid from net income. Defaults to False.	`True`
`diluted`	`bool`	Whether to use diluted earnings per share. Defaults to True.	`False`
`rounding`	`int \| None`	The number of decimals to round the results to. Defaults to None, which uses the rounding of the Toolkit (4 unless set otherwise).	`2`
`growth`	`bool`	Whether to calculate the growth of the ratios. Defaults to False.	`True`
`lag`	`int \| list[int]`	The lag to use for the growth calculation. Defaults to 1.	`4`
`compound`	`bool`	Whether the growth is the compound annual growth rate over the lag (e.g. lag=5 for the five-year CAGR) instead of the total change. Defaults to False.	`False`
`standardize`	`bool`	Whether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False.	`True`
`trailing`	`int`	The number of periods to sum flows (income and cash flow statement items) over, with balance sheet items averaged over the same number of period ends. E.g. 4 with quarterly data gives the trailing twelve months (TTM) and 3 with annual data a three-year cumulative figure. Defaults to None, which uses single-period flows (per quarter and not annualized with quarterly data).	`4`

Earnings per Share (EPS) in Python or via the MCP

Parameters

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