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Pyrum Innovations AG (PYR) Fair Value & Analysis

Industrials · DE · Market cap €109M

Price€24.40
Fair Value€32.36
Upside+32.6%
Quality95/100
Evidence: Low Range €24.27 – €40.46

Fair value as of: Jun 24, 2026

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Analysis

Pyrum Innovations AG (PYR) currently trades at €24.40, while our model-based Fair Value estimate is €32.36 — implying the stock looks roughly 32.6% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

Pyrum Innovations AG provides patented thermolysis technology in the recycling market for used tires worldwide. The company recycles used tires and produces secondary raw materials, such as rubber granules, thermolyzed carbon milled, recovered carbon black, thermolysis oils, and steel wires. It also offers laboratory systems, semi-industrial and industrial plants, and thermolysis of bicycle tires solutions; and waste tire disposal, green workshops, and laboratory testing services. The company was founded in 2008 and is headquartered in Dillingen, Germany.

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Frequently asked questions

Is Pyrum Innovations AG (PYR) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €32.36 versus a price of €24.40 — about +33% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PYR?
Our 21-model fair value for Pyrum Innovations AG is €32.36 (as of Jun 24, 2026), built from audited fundamentals. The current price is €24.40.
What is the quality score of PYR?
Pyrum Innovations AG has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.