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Billerud AB (BLRDF) Fair Value & Analysis

Basic Materials · US · Market cap $1.8B

Price$6.23
Fair Value$4.98
Upside-20.1%
Quality95/100
Evidence: High Range $3.30 – $6.22

Analysis

Billerud AB (BLRDF) currently trades at $6.23, while our model-based Fair Value estimate is $4.98 — implying the stock looks roughly 20.1% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Billerud AB (publ) provides paper and packaging materials worldwide. It operates through Region Europe, Region North America, and Other segments. The company offers liquid packaging board, containerboard, cartonboard, and sack paper; kraft paper bags; specialty and formable paper; graphic and label papers comprising coated sheets, web papers, WC Caliper web, coated digital, and inkjet papers; and hardwood and softwood pulp, which are used to produce packaging for food and beverages, industrial, medical and hygiene, and consumer and luxury goods. It also procures and supplies wood. The company serves packaging and paper manufacturers, printers, publishers, converters, and distribution partners. The company was formerly known as BillerudKorsnäs AB (publ) and changed its name to Billerud AB (publ) in October 2022. Billerud AB (publ) was founded in 1883 and is headquartered in Solna, Sweden.

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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.