RKW (RKW) Fair Value & Analysis
Financial Services · GB · Market cap 183M GBX
Fair value as of: Jun 26, 2026
Analysis
RKW (RKW) currently trades at p3.13, while our model-based Fair Value estimate is p2.40 — implying the stock looks roughly 23.3% overvalued today. We read business quality at 95/100 (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: high).
About the company
Rockwood Strategic Plc specializes in PIPE, pre-IPO, growth and acquisition, recovery capital investments. The fund invests in financial services, media, information and communication technology, digital information and technology, healthcare, and life sciences. It prefers to invest in companies based in United Kingdom and Europe and can also co-invest outside Europe with local venture capital firms. The fund also seeks to make follow on investments. It invests in companies with market capitalizations of less than £250 million ($316.50 million) and seeks to acquire stakes between 5% and 25% for cash or share consideration. It seeks to invest between three to five years. The fund invests in smaller public companies as well as private companies. It invests in public companies that are listed on FTSE All-share and AIM All-Share Index; stocks trading greater than 50% below 3-year price high; EV or EBITDA less than 7 times, gearing more than 75%, ROCE greater than 10%, FCF Yield greater …
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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.