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Dlaboratory Sweden AB (DLAB) Fair Value & Analysis

Utilities · SE · Market cap 41.3M SEK

Pricekr 2.50
Fair Valuekr 0.3700
Upside-85.2%
Quality95/100
Evidence: Low Range kr 0.2800 – kr 0.4700

Fair value as of: Jun 24, 2026

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Analysis

Dlaboratory Sweden AB (DLAB) currently trades at kr 2.50, while our model-based Fair Value estimate is kr 0.3700 — implying the stock looks roughly 85.2% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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

Dlaboratory Sweden AB (publ) provides energy inspection and investigation services in Sweden. The company offers dLab platform, a digital platform that provides data used for detecting vegetation on overhead power lines, finding faulty components, identifying unused capacity, bottlenecks, and power quality issues in the grid, and carrying out maintenance, as well as facilitates the export of data and information to other IT systems. It serves owners and operators of power, telecom, and rail infrastructure. The company was founded in 2007 and is headquartered in Lund, Sweden.

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Frequently asked questions

Is Dlaboratory Sweden AB (DLAB) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 0.3700 versus a price of kr 2.50 — about −85% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DLAB?
Our 21-model fair value for Dlaboratory Sweden AB is kr 0.3700 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 2.50.
What is the quality score of DLAB?
Dlaboratory Sweden 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.