Calculate the preferred dividend coverage ratio, a solvency ratio that measures a company’s ability to pay dividends owed to preferred shareholders out of its net income.

The formula is as follows:

\[\text{Preferred Dividend Coverage Ratio} = \text{Net Income} / | \text{Preferred Dividends Paid} |\]

Also known as: preferred dividend cover.

Preferred Dividend Coverage Ratio in Python or via the MCP

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_preferred_dividend_coverage_ratio as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(
    ["PNC", "USB", "COF"],
    api_key="FINANCIAL_MODELING_PREP_KEY",
    start_date="2021-01-01",
    end_date="2025-12-31",
)

toolkit.ratios.get_preferred_dividend_coverage_ratio()

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

How many times did the net income of PNC, U.S. Bancorp and Capital One cover their preferred dividends from 2021 to 2025?

Which returns:

  2021 2022 2023 2024 2025
COF 43.6679 30.8947 20.0965 19.4956 8.6548
PNC 23.2146 18.9635 12.2926 15.6136 21.3506
USB 24.6916 18.398 14.8123 16.5983 21.5389

Parameters

get_preferred_dividend_coverage_ratio accepts the following parameters.

ParameterTypeDescriptionExample
roundingint | NoneThe number of decimals to round the results to. Defaults to None, which uses the rounding of the Toolkit (4 unless set otherwise).2
growthboolWhether to calculate the growth of the ratios. Defaults to False.True
lagint | list[int]The lag to use for the growth calculation. Defaults to 1.4
compoundboolWhether 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
standardizeboolWhether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False.True
trailingintThe 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
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