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Spinnova Oyj (SPINN) Fair Value & Analysis

Consumer Cyclical · FI · Market cap €24.1M

Price€0.4400
Fair Value€0.2900
Upside-34.1%
Quality95/100
Evidence: Low Range €0.1900 – €0.3600

Fair value as of: Jun 25, 2026

Analysis

Spinnova Oyj (SPINN) currently trades at €0.4400, while our model-based Fair Value estimate is €0.2900 — implying the stock looks roughly 34.1% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

Spinnova Oyj produces and sells natural fibre materials in Finland and internationally. The company produces Spinnova textile fibres, which is made from a range of raw materials, including wood to leather, textile, agricultural, food industry and beverage waste. The company was incorporated in 2014 and is headquartered in Jyväskylä, Finland.

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Frequently asked questions

Is Spinnova Oyj (SPINN) undervalued?
As of Jun 25, 2026, our model estimates a fair value of €0.2900 versus a price of €0.4400 — about −34% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SPINN?
Our 21-model fair value for Spinnova Oyj is €0.2900 (as of Jun 25, 2026), built from audited fundamentals. The current price is €0.4400.
What is the quality score of SPINN?
Spinnova Oyj 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.