EQT AB (EQBBF) Fair Value & Analysis
Financial Services · US · Market cap $35.1B
Fair value as of: Jun 25, 2026
Analysis
EQT AB (EQBBF) currently trades at $27.83, while our model-based Fair Value estimate is $10.23 — implying the stock looks roughly 63.2% 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
EQT AB (publ) is a global private equity & venture capital firm specializing in private capital and real asset segments. The firm seeks to invest in seed, startup, turnaround, middle market, mature, early venture, emerging growth, mid venture, late venture, distressed/vulture, loan, secondary (direct) investments. The firm seeks to invest through growth, buyout and recapitalization in companies. It also invests in green fund & fintech investments. The firm prefers to invest in financial services, engineering services, healthcare, IT services & software, business services, consumer, advanced manufacturing sectors, education, consumer goods, energy, oil and gas, commercial printing, diversified support services, environmental and facilities services, office services and supplies, automobile manufacturers, motorcycle manufacturers, consumer electronics, home furnishings, homebuilding, household appliances, housewares and specialties, leisure products, textiles, apparel and luxury goods…
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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.