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CSP International Fashion Group (CSP) Fair Value & Analysis

Consumer Cyclical · IT · Market cap €11.7M

Price€0.2890
Fair Value€0.5500
Upside+90.3%
Quality95/100
Evidence: Medium Range €0.3600 – €0.6900

Fair value as of: Jun 25, 2026

Analysis

CSP International Fashion Group (CSP) currently trades at €0.2890, while our model-based Fair Value estimate is €0.5500 — implying the stock looks roughly 90.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: medium) — always confirm before acting.

About the company

CSP International Fashion Group S.p.A. produces and sells hosiery and underwear in Italy, France, European Union, and internationally. It offers knitwear and articles of corsets and swimwear for women and men's. The company provides its products under the Cagi, Liberti, Well, Cagi, Libertie, Welle, Perofìle, LunadiSeta brand names. The company also exports its products. The company was founded in 1973 and is based in Ceresara, Italy.

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Frequently asked questions

Is CSP International Fashion Group (CSP) undervalued?
As of Jun 25, 2026, our model estimates a fair value of €0.5500 versus a price of €0.2890 — about +90% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CSP?
Our 21-model fair value for CSP International Fashion Group is €0.5500 (as of Jun 25, 2026), built from audited fundamentals. The current price is €0.2890.
What is the quality score of CSP?
CSP International Fashion Group 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.