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Unlimit Group (UNLGRP) Fair Value & Analysis

Technology · DK · Market cap 17.7M DKK

Pricekr 0.0134
Fair Valuekr 0.0143
Upside+6.6%
Quality95/100
Evidence: Low Range kr 0.0143 – kr 0.0156

Fair value as of: Jun 26, 2026

Analysis

Unlimit Group (UNLGRP) currently trades at kr 0.0134, while our model-based Fair Value estimate is kr 0.0143 — implying the stock looks roughly 6.6% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

Unlimit Group A/S develops and scales of AI-based software solutions and unmanned store concepts for the retail and industrial sectors. The company was formerly known as Conferize A/S and changed its name to Unlimit Group A/S in April 2025. Unlimit Group A/S was founded in 2011 and is based in Køge, Denmark.

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Frequently asked questions

Is Unlimit Group (UNLGRP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 0.0143 versus a price of kr 0.0134 — about +7% (undervalued). Model-based estimate, not financial advice.
What is the fair value of UNLGRP?
Our 21-model fair value for Unlimit Group is kr 0.0143 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 0.0134.
What is the quality score of UNLGRP?
Unlimit 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.