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Vimi Fasteners S.p.A (VIM) Fair Value & Analysis

Industrials · IT · Market cap €17.9M

Price€1.41
Fair Value€1.91
Upside+35.5%
Quality95/100
Evidence: Medium Range €1.70 – €2.47

Fair value as of: Jun 24, 2026

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Analysis

Vimi Fasteners S.p.A (VIM) currently trades at €1.41, while our model-based Fair Value estimate is €1.91 — implying the stock looks roughly 35.5% 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: medium) — always confirm before acting.

About the company

Vimi Fasteners S.p.A. engages in the design and production of fastening elements for the industrial, automotive, energy, oil and gas, and aerospace sectors in Italy and internationally. It is involved in the production of hot forged machined nickel alloys, stainless steel bolts, nuts, stud bolts, and eyebolts for high-temperatures, low-temperatures, and corrosion-resistant applications; screws, bolts, and special small parts. The company was founded in 1967 and is based in Novellara, Italy. Vimi Fasteners S.p.A. operates as a subsidiary of Finregg - S.P.A.

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Frequently asked questions

Is Vimi Fasteners S.p.A (VIM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €1.91 versus a price of €1.41 — about +35% (undervalued). Model-based estimate, not financial advice.
What is the fair value of VIM?
Our 21-model fair value for Vimi Fasteners S.p.A is €1.91 (as of Jun 24, 2026), built from audited fundamentals. The current price is €1.41.
What is the quality score of VIM?
Vimi Fasteners S.p.A 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.