SmartCraft Group (SMCRT) Fair Value & Analysis
Technology · SE · Market cap 2.6B SEK
Fair value as of: Jun 24, 2026
Analysis
SmartCraft Group (SMCRT) currently trades at kr 14.66, while our model-based Fair Value estimate is kr 13.26 — implying the stock looks roughly 9.5% overvalued today. We read business quality at 90/100 (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
SmartCraft Group AB (publ) provides software solutions to the construction industry in Norway, Sweden, Finland, and the United Kingdom. It offers software, including Cordel, a SaaS solution; Bygglet, a SaaS born in the cloud solution; EL-VIS, a solution comprising services in the electricians'daily operations; and Congrid, a cloud-based tool for project management. It also provides Kvalitetskontroll, a cloud-based project management solution and quality assurance platform; and ELinn, a cloud-based solution for electricians to handle project management services. The company offers its products under the HomeRun, Coredination, Locka, SmartCraft Sparx, SmartCraft Flow, and Clixifix brands. SmartCraft Group AB (publ)was founded in 1987 and is based in Gothenburg, Sweden.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is SmartCraft Group (SMCRT) undervalued?
What is the fair value of SMCRT?
What is the quality score of SMCRT?
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.