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SpectrumOne AB (SPEONE) Fair Value & Analysis

Technology · SE · Market cap 81.2M SEK

Pricekr 0.1780
Fair Valuekr 0.0200
Upside-88.8%
Quality95/100
Evidence: Low Range kr 0.0200 – kr 0.0200

Fair value as of: Jun 26, 2026

Analysis

SpectrumOne AB (SPEONE) currently trades at kr 0.1780, while our model-based Fair Value estimate is kr 0.0200 — implying the stock looks roughly 88.8% overvalued today. We read business quality at 95/100 (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: low).

About the company

SpectrumOne AB (publ), a technology company, provides z`data management, analytics, and communications platform suites to append and analyze customer data in Sweden. The company was formerly known as TargetEveryone AB (publ) and changed its name to SpectrumOne AB (publ) in March 2020. SpectrumOne AB (publ) was incorporated in 1995 and is headquartered in Stockholm, Sweden.

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Frequently asked questions

Is SpectrumOne AB (SPEONE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 0.0200 versus a price of kr 0.1780 — about −89% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SPEONE?
Our 21-model fair value for SpectrumOne AB is kr 0.0200 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 0.1780.
What is the quality score of SPEONE?
SpectrumOne AB has a Quality Score of 95/100, 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.