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doValue S.p.A (DOVXF) Fair Value & Analysis

Financial Services · US · Market cap $1.2B

Price$6.25
Fair Value$3.29
Upside-47.4%
Quality84/100
Evidence: Low Range $1.43 – $5.15

Analysis

doValue S.p.A (DOVXF) currently trades at $6.25, while our model-based Fair Value estimate is $3.29 — implying the stock looks roughly 47.4% overvalued today. We read business quality at 84/100 (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: low).

About the company

doValue S.p.A. engages in the management of non-performing loans (NLP), unlikely to pay (UTP), early arrears, and performing loans for banks and investors in Italy, Spain, Greece, and Cyprus. The company offers NPL servicing, including administration, management, and recovery of loans utilizing in court and out-of-court recovery processes for and on behalf of third parties for portfolios mainly consisting in non-performing loans; and real estate servicing, such as real estate collateral management, real estate development, and property management services. It also provides administration, management, and restructuring of loans classified as unlikely-to-pay, on behalf of third parties, with the aim of returning them to performing status; and management of performing loans or loans past due by less than 90 days, not yet classified as non-performing, on behalf of third parties. In addition, the company offers services for the collection and organization of information in data room envi…

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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.