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Flexion Mobile Plc (FLEXM) Fair Value & Analysis

Communication Services · SE · Market cap 168M SEK

Pricekr 2.78
Fair Valuekr 0.4500
Upside-83.8%
Quality97/100
Evidence: Medium Range kr 0.3300 – kr 0.5600

Fair value as of: Jun 24, 2026

Analysis

Flexion Mobile Plc (FLEXM) currently trades at kr 2.78, while our model-based Fair Value estimate is kr 0.4500 — implying the stock looks roughly 83.8% overvalued today. We read business quality at 97/100 (high quality), in the Communication 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

Flexion Mobile Plc operates game distribution platform for game developers worldwide. The company engages in game marketing and distribution business. It also markets mobile games in the Android market. Flexion Mobile Plc was incorporated in 2001 and is headquartered in London, the United Kingdom.

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Frequently asked questions

Is Flexion Mobile Plc (FLEXM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 0.4500 versus a price of kr 2.78 — about −84% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FLEXM?
Our 21-model fair value for Flexion Mobile Plc is kr 0.4500 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 2.78.
What is the quality score of FLEXM?
Flexion Mobile Plc has a Quality Score of 97/100, 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.