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HKFoods Oyj (HKFOODS) Fair Value & Analysis

Consumer Defensive · FI · Market cap €156M

Price€1.60
Fair Value€3.20
Upside+99.5%
Quality86/100
Evidence: Medium Range €1.72 – €4.69

Fair value as of: Jun 25, 2026

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Analysis

HKFoods Oyj (HKFOODS) currently trades at €1.60, while our model-based Fair Value estimate is €3.20 — implying the stock looks roughly 99.5% undervalued today. We read business quality at 86/100 (high quality), in the Consumer Defensive 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: medium) — always confirm before acting.

About the company

HKFoods Oyj operates as a food company in Finland and Poland. The company produces, sells, and markets pork, beef, poultry, meat products, and ready and components meals; and processed meats and convenience food under the HK, Kariniemen, Via, Boltsi, Tamminen, and Kivikylän to retail, food service, industry, and export sectors. It also exports its products internationally. The company was formerly known as HKScan Oyj and changed its name to HKFoods Oyj in May 2024. HKFoods Oyj was founded in 1913 and is headquartered in Turku, Finland. HKFoods Oyj operates as a subsidiary of LSO Osuuskunta.

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Frequently asked questions

Is HKFoods Oyj (HKFOODS) undervalued?
As of Jun 25, 2026, our model estimates a fair value of €3.20 versus a price of €1.60 — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of HKFOODS?
Our 21-model fair value for HKFoods Oyj is €3.20 (as of Jun 25, 2026), built from audited fundamentals. The current price is €1.60.
What is the quality score of HKFOODS?
HKFoods Oyj has a Quality Score of 86/100, 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.