Plastika Kritis S.A (PLAKR) Fair Value & Analysis
Basic Materials · GR · Market cap €386M
Fair value as of: Jun 24, 2026
Analysis
Plastika Kritis S.A (PLAKR) currently trades at €14.60, while our model-based Fair Value estimate is €23.23 — implying the stock looks roughly 59.1% undervalued today. We read business quality at 85/100 (high quality), in the Basic Materials 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
Plastika Kritis S.A. produces and sells masterbatches and agricultural films in Greece. The company provides a range of masterbatches, including color, white, black, UV-stabilizer, additive, and filler masterbatches, as well as garden furniture compounds, masterbatches for PVC cables and synthetic fibers, tailor-made multi-functional masterbatches, single pigment concentrates, masterbatches for polylactide, and photo-oxo degradable masterbatches, as well as biodegradable compounds. It also provides multi-layer films for various agricultural applications comprising greenhouses, low-tunnels, mulching, soil-disinfection, energy-screening, silage, silage and grain bags, farm and animal buildings, and pond-lining; and geomembranes, such as high density polyethylene, low density polyethylene, linear low density polyethylene, EVA, and fPP flexible membrane liners for applications in landfill lining, landfills capping, waste-water treatment reservoirs, manmade water reservoirs, irrigation c…
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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.