IP Group (IPZYF) Fair Value & Analysis
Financial Services · US · Market cap $761M
Fair value as of: Jun 25, 2026
Analysis
IP Group (IPZYF) currently trades at $0.8500, while our model-based Fair Value estimate is $1.69 — implying the stock looks roughly 98.8% 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
IP Group Plc is a private equity and venture capital firm specializing in seed/startup, early venture, emerging growth, mature, mid venture, late venture, incubation, mezzanine in growth capital companies. It prefers to invest in energy, materials, healthcare, information technology, communication services, utilities, life sciences, deeptech, cleantech, chemicals, science and innovation companies. The firm prefers to invest in Europe, typically invests in companies based in or willing to relocate to North East England. It firm prefers to invest between £0.050 million ($0.08 million) and £1.25 million ($2.01 million) with revenue up to £45 million ($71 million). IP Group Plc was founded in 2001 and is based in London, United Kingdom with additional offices in Hong Kong, Hong Kong and Melbourne, Australia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is IP Group (IPZYF) undervalued?
What is the fair value of IPZYF?
What is the quality score of IPZYF?
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.