Calculates and collects all Solvency Ratios based on the provided data.

All Solvency Ratios in Python

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

pip install financetoolkit -U

Then call collect_solvency_ratios as shown below.

from financetoolkit import Toolkit

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

solvency_ratios = toolkit.ratios.collect_solvency_ratios()

solvency_ratios.loc['AAPL']

Which returns:

  2021 2022 2023 2024 2025
Debt Service Coverage Ratio 0.8683 0.7757 0.7866 0.6985 0.8033
Equity Multiplier 5.255 6.1862 6.252 6.0251 5.5418
Free Cash Flow Yield 0.031 0.0525 0.0327 0.0282 0.0242
Net-Debt to EBITDA Ratio 0.8449 0.8337 0.7468 0.6618 0.5281
Cash Flow Coverage Ratio 0.7621 0.922 0.892 0.9932 0.992
CAPEX Coverage Ratio -9.3855 -11.4075 -10.087 -12.5176 -8.7678
Dividend CAPEX Coverage Ratio -4.0716 -4.781 -4.2543 -4.7913 -3.9623
Debt-to-Capital Ratio 0.6839 0.7233 0.666 0.6764 0.6038

Parameters

collect_solvency_ratios accepts the following parameters:

  • diluted (bool, optional): Whether to use diluted shares for 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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