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Saccheria F.lli Franceschetti S.p.A (SAC) Fair Value & Analysis

Real Estate · IT · Market cap 9.5B ZAC

Price3.73 ZAC
Fair Value2.67 ZAC
Upside-28.4%
Quality95/100
Evidence: High Range 2.00 ZAC – 3.38 ZAC

Fair value as of: Jun 26, 2026

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Analysis

Saccheria F.lli Franceschetti S.p.A (SAC) currently trades at 3.73 ZAC, while our model-based Fair Value estimate is 2.67 ZAC — implying the stock looks roughly 28.4% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: high).

About the company

Saccheria F.lli Franceschetti S.p.A. produces and markets bags and packaging products in Italy. The company offers big, raffia, fertilizer, saddle, tele, and polyethylene bags, as well as belts, ribbons, yarns, and kits. It also provides customized and educational products. The company's products are used in agriculture, plastic, asbestos, steel, rubble, food, waste, and mineral industries; and sacks and saddlebags for use in post offices. The company was founded in 1970 and is based in Provaglio d'Iseo, Italy.

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Frequently asked questions

Is Saccheria F.lli Franceschetti S.p.A (SAC) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 2.67 ZAC versus a price of 3.73 ZAC — about −28% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SAC?
Our 21-model fair value for Saccheria F.lli Franceschetti S.p.A is 2.67 ZAC (as of Jun 26, 2026), built from audited fundamentals. The current price is 3.73 ZAC.
What is the quality score of SAC?
Saccheria F.lli Franceschetti 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.