Sure Ventures Plc (SURE) Fair Value & Analysis
Financial Services · GB · Market cap 2.8M GBX
Fair value as of: Jun 26, 2026
Analysis
Sure Ventures Plc (SURE) currently trades at p0.3500, while our model-based Fair Value estimate is p0.7000 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Sure Ventures Plc is a venture capital firm specializing in investments in series A, early and seed stage investments. The firm also makes funds of fund investments. The firm does not invest in companies whose primary business is acquisition or development of real or petroleum, oil or gas exploration or other activities or prospection for other resources. The firm does not make investments in real estate assets. It focuses on software centric businesses in augmented reality (AR) and virtual reality (VR), the Internet of things (IoT), artificial intelligence, and financial technologies (Fintech). The firm does not have geographical limits, but focuses on companies having their operations in United Kingdom, Ireland or elsewhere in the EEA. The firm may typically take interest between 20 and 50 per cent. Sure Ventures Plc was founded on 21 June 2017 and is based in London, United Kingdom. It operates as a subsidiary of Jarvis Securities plc, Asset Management Arm.
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Frequently asked questions
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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.