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Safeture AB (SFTR) Fair Value & Analysis

Technology · SE · Market cap 149M SEK

Pricekr 3.44
Fair Valuekr 1.30
Upside-62.2%
Quality95/100
Evidence: High Range kr 1.15 – kr 1.46

Fair value as of: Jun 24, 2026

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Analysis

Safeture AB (SFTR) currently trades at kr 3.44, while our model-based Fair Value estimate is kr 1.30 — implying the stock looks roughly 62.2% 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: high).

About the company

Safeture AB (publ) operates as a software as a service company in Sweden, Europe, Middle East and Africa, the United States, Asia, and Oceania. It offers cloud-based services that manage employee risk, safety, and crisis processes. The company was formerly known as GWS Production AB (publ) and changed its name to Safeture AB (publ) in June 2019. Safeture AB (publ) was incorporated in 2009 and is headquartered in Lund, Sweden.

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Frequently asked questions

Is Safeture AB (SFTR) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 1.30 versus a price of kr 3.44 — about −62% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SFTR?
Our 21-model fair value for Safeture AB is kr 1.30 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 3.44.
What is the quality score of SFTR?
Safeture 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.