Fairvalue-Calculator Fairvalue-Calculator
EN DE

ALVAZ (ALVAZ) Fair Value & Analysis

Financial Services · FR · Market cap €91.2M

Price€34.60
Fair Value€16.41
Upside-52.6%
Quality89/100
Evidence: Medium Range €12.31 – €20.51

Fair value as of: Jun 26, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

ALVAZ (ALVAZ) currently trades at €34.60, while our model-based Fair Value estimate is €16.41 — implying the stock looks roughly 52.6% overvalued today. We read business quality at 89/100 (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: medium).

About the company

Vaziva Société anonyme issues vacation, gift, and lunch vouchers on a managed Mastercard payment card for social and economic committees, human resources, companies and local authorities. The company was incorporated in 2016 and is based in Paris, France.

Open the full interactive analysis →

Similar stocks

Visa Inc (V) -47% Mastercard Incorporated (MA) -66% M4I (M4I) -36% American Express Company (AXP) -29% Capital One Financial Corporation (COF) -66% Bajaj Finance Limited (BAJFINANCE) -32%

Frequently asked questions

Is ALVAZ (ALVAZ) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €16.41 versus a price of €34.60 — about −53% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ALVAZ?
Our 21-model fair value for ALVAZ is €16.41 (as of Jun 26, 2026), built from audited fundamentals. The current price is €34.60.
What is the quality score of ALVAZ?
ALVAZ has a Quality Score of 89/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.