Calculate the forward price earnings to growth (forward PEG) ratio, a valuation metric that measures the forward P/E ratio relative to the growth implied by the analyst consensus (average) EPS estimate versus the company’s most recently reported actual EPS.

The formula is as follows:

\[\text{Estimated EPS Growth Rate} = (\text{Estimated EPS} - \text{Trailing EPS}) / | \text{Trailing EPS} |\] \[\text{Forward PEG} = \text{Forward} P / E / (\text{Estimated EPS Growth Rate} \cdot 100)\]

Note that this requires an api_key to be set on the Toolkit and a Premium FMP subscription. Analyst estimates are fetched once per Toolkit instance and cached across calls to this (or the other forward-looking ratio) method - never on initialization or on any other ratio.

Also known as: forward PEG, PEG on forward growth.

Forward Price to Earnings Growth Ratio (Forward PEG) in Python

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

pip install financetoolkit -U

Then call get_forward_price_earnings_growth_ratio as shown below.

from financetoolkit import Toolkit

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

toolkit.ratios.get_forward_price_earnings_growth_ratio()

Which returns:

  2021 2022 2023 2024 2025
AAPL -2.26 -2.8269 -3.6172 -4.6544 -40.6636
MSFT -1.1385 -1.2822 -1.3423 -2.918 -17.48

Parameters

get_forward_price_earnings_growth_ratio accepts the following parameters:

  • 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.
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