Silver Bullet Data Services Group (SBDS) Fair Value & Analysis
Communication Services · GB · Market cap 4.5M GBX
Fair value as of: Jun 26, 2026
Analysis
Silver Bullet Data Services Group (SBDS) currently trades at p0.0900, while our model-based Fair Value estimate is p0.0270 — implying the stock looks roughly 70.0% overvalued today. We read business quality at 92/100 (high quality), in the Communication 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
Silver Bullet Data Services Group PLC, together with its subsidiaries, provides data and digital transformation services and tools for marketing and advertising purposes in the United Kingdom, rest of Europe, the United States, and internationally. The company operates in two segments, Customer Experience (CX) Services and 4D Platform. It offers strategic consultancy and analysis, technical implementation, data activation, measurement and ROI, and managed services; Silverbullet Cloud, a portfolio of data tools and platforms that allows brands to personalize the customer journey; 4D, a privacy-first contextual targeting and insights platform; and data enrichment and AI measurement solutions. The company was formerly known as Silver Bullet Data Services Group Limited and changed its name to Silver Bullet Data Services Group PLC in June 2021. Silver Bullet Data Services Group PLC was incorporated in 2013 and is headquartered in London, the United Kingdom.
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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.