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Nilörngruppen AB (NLLGF) Fair Value & Analysis

Consumer Cyclical · US · Market cap $65.7M

Price$5.76
Fair Value$10.79
Upside+87.2%
Quality95/100
Evidence: High Range $8.09 – $13.49

Fair value as of: Jun 25, 2026

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Analysis

Nilörngruppen AB (NLLGF) currently trades at $5.76, while our model-based Fair Value estimate is $10.79 — implying the stock looks roughly 87.2% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.

About the company

Nilörngruppen AB (publ) engages in the branding and design of labels, packaging, and accessories for the fashion and apparel industries in Sweden, rest of Europe, and Asia. It offers trims, including hangtags, and woven and printed labels; and buttons and accessories. The company also provides retail and e-commerce packaging products, such as cardboard boxes, and paper and plastic bags with custom prints. In addition, it offers RFID, care, and barcode labels; and security and copying protection products, as well as retail information services. The company was founded in 1970 and is headquartered in Borås, Sweden.

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Frequently asked questions

Is Nilörngruppen AB (NLLGF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $10.79 versus a price of $5.76 — about +87% (undervalued). Model-based estimate, not financial advice.
What is the fair value of NLLGF?
Our 21-model fair value for Nilörngruppen AB is $10.79 (as of Jun 25, 2026), built from audited fundamentals. The current price is $5.76.
What is the quality score of NLLGF?
Nilörngruppen 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.