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S-Ventures Plc (SVTPF) Fair Value & Analysis

Financial Services · US · Market cap $18.8M

Price$0.0500
Fair Value$0.0450
Upside-10.0%
Quality87/100
Evidence: Low Range $0.0350 – $0.0500

Fair value as of: Jun 26, 2026

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Analysis

S-Ventures Plc (SVTPF) currently trades at $0.0500, while our model-based Fair Value estimate is $0.0450 — implying the stock looks roughly 10.0% overvalued today. We read business quality at 87/100 (high quality), in the Financial Services 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

S-Ventures Plc is a principal investment firm. The firm prefers to invest in food-tech, AI related businesses , health & wellness, organic food and consumer wellness sectors. The firm prefers to invest in UK and Europe. S-Ventures Plc was found in 2020 and is based in London, United Kingdom.

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Frequently asked questions

Is S-Ventures Plc (SVTPF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0450 versus a price of $0.0500 — about −10% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SVTPF?
Our 21-model fair value for S-Ventures Plc is $0.0450 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0500.
What is the quality score of SVTPF?
S-Ventures Plc has a Quality Score of 87/100, 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.