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Nord Insuretech Group (NORDIG) Fair Value & Analysis

Technology · SE · Market cap 318M SEK

Pricekr 0.7200
Fair Valuekr 0.1700
Upside-76.4%
Quality95/100
Evidence: Low Range kr 0.1300 – kr 0.2100

Fair value as of: Jun 24, 2026

Analysis

Nord Insuretech Group (NORDIG) currently trades at kr 0.7200, while our model-based Fair Value estimate is kr 0.1700 — implying the stock looks roughly 76.4% 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

Nord Insuretech Group AB (publ) operates a digital platform that allows partners to sell various insurance products in Norway. Its platform operates as an intermediary that delivers digital and white-label solutions to consumers. The company also offers insurance-as-a service and software-as-a-service solutions. The company was formerly known as Hudya AB (publ) and changed its name to Nord Insuretech Group AB (publ) in January 2021. Nord Insuretech Group AB (publ) was founded in 2016 and is headquartered in Stockholm, Sweden.

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Frequently asked questions

Is Nord Insuretech Group (NORDIG) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 0.1700 versus a price of kr 0.7200 — about −76% (overvalued). Model-based estimate, not financial advice.
What is the fair value of NORDIG?
Our 21-model fair value for Nord Insuretech Group is kr 0.1700 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 0.7200.
What is the quality score of NORDIG?
Nord Insuretech Group 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.