Huhtamäki Oyj (HUH1V) Fair Value & Analysis
Consumer Cyclical · FI · Market cap €2.9B
Analysis
Huhtamäki Oyj (HUH1V) currently trades at €26.58, while our model-based Fair Value estimate is €31.06 — implying the stock looks roughly 16.9% undervalued today. We read business quality at 93/100 (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
Huhtamäki Oyj provides packaging solutions in the United States, Germany, the United Kingdom, India, Turkey, Australia, Thailand, Poland, South Africa, Spain, Finland, and internationally. It operates through Foodservice Packaging, North America, Flexible Packaging, and Fiber Packaging segments. The company offers beverage-to-go packaging solutions, which includes single and double-wall paper, coffee and cold drinks cups, cup carriers, lids, accessories and short run prints customized paper cups; food-to-go packaging solutions, such as trays, containers, clamshells, scoops, bowls, wraps, and various accessories for take-away and dining; and egg trays, egg cartons, fruit trays, and wine bottle separators. In addition, it provides stickpacks, sachets, and valve pouches for coffee packaging; stand-up and spouted pouches for liquid drinks; and tea bag envelopes, paper tags, and outer packaging for tea packaging, as well as powder drinks packaging. Further, the company offers packaged fo…
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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.