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Flowsparks NV (FLSP) Fair Value & Analysis

Technology · BE · Market cap €40.9M

Price€19.00
Fair Value€18.24
Upside-4.0%
Quality88/100
Evidence: Medium Range €12.60 – €22.80

Fair value as of: Jun 24, 2026

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Analysis

Flowsparks NV (FLSP) currently trades at €19.00, while our model-based Fair Value estimate is €18.24 — implying the stock looks roughly 4.0% overvalued today. We read business quality at 88/100 (high quality), in the Technology 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

Flowsparks NV provides e-learning solutions in Belgium and internationally. The company's learning platforms include Authoring tool, which uses didactic flow formats and templates to create e-learning; and Learning Management System for the distribution, reporting, and administration of e-Learning users. Its platforms comprise FastPass, which manage access to digital modules. In addition, the company develops e-learning solution of choice which offers expertise in range of topics and sectors including co-production, outsourcing, and advice services. Flowsparks NV was founded in 1993 and is headquartered in Gent, Belgium.

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Frequently asked questions

Is Flowsparks NV (FLSP) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €18.24 versus a price of €19.00 — about −4% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FLSP?
Our 21-model fair value for Flowsparks NV is €18.24 (as of Jun 24, 2026), built from audited fundamentals. The current price is €19.00.
What is the quality score of FLSP?
Flowsparks NV has a Quality Score of 88/100, 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.