Foris

Foris PEG

The PEG Ratio (Price/Earnings-to-Growth) of Foris (FRS.DE) as of Sep 28, 2026 is 0.07.

PEG

0.07

Last updated:

PEG Ratio (Price/Earnings-to-Growth) of Foris is 2026 0.07 . PEG Ratio (Price/Earnings-to-Growth) of Foris was 2025 - . It decreases by % lower compared to the previous year.
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Foris Stock analysis

What does Foris do? Foris AG is a German company specializing in the development of innovative software solutions. The company was founded in 2004 and is based in Lörrach, Germany. They currently employ over 100 staff members. Foris AG initially started with the development of an online management system for cities and municipalities, simplifying the organization and administration of public institutions. They have also expanded into other areas such as data and online payment processing, human resources management, content management systems, and mobile app development. The company offers a wide range of products and custom solutions for businesses of all sizes and industries. The future prospects for Foris AG appear to be promising due to the increasing demand for IT solutions. Foris is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Foris stock

PEG Ratio (Price/Earnings-to-Growth) of Foris is 0.07 in 2026.

On Eulerpool you can find the complete historical development of PEG Ratio (Price/Earnings-to-Growth) Foris since 2006 – with annual values, charts, and detailed analysis.

The PEG ratio adjusts the P/E ratio by the expected earnings growth rate. A PEG below 1 may indicate an undervalued stock relative to its growth potential.

PEG = P/E Ratio / Expected Annual EPS Growth Rate

To evaluate PEG Ratio (Price/Earnings-to-Growth)'s, it is essential to compare it with peers in the same industry and sector. On Eulerpool, you can find direct industry comparisons for PEG Ratio (Price/Earnings-to-Growth).

A 'good' varies by industry and company stage. On Eulerpool, you can compare PEG Ratio (Price/Earnings-to-Growth)'s Foris with sector peers and the industry average to assess whether it is attractive.

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