Iofina plc (IOF) Fair Value & Analysis
Basic Materials · GB · Market cap 92.1M GBX
Fair value as of: Jun 24, 2026
Analysis
Iofina plc (IOF) currently trades at p0.5300, while our model-based Fair Value estimate is p0.5900 — implying the stock looks roughly 11.3% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Iofina plc, together with its subsidiaries, explores for, develops, and produces iodine and halogen-based specialty chemical derivatives from oil and gas operations in North America, Asia, South America, Europe, and internationally. The company offers iodides, chlorides, and fluorides; and iodine used for animal care and health, biocides and catalysts, disinfectants, fungicide, mineral separators, specialty intermediates, thyroid health, wound healing, diagnostic imaging, iofina logo gray sun 5, preservatives and sanitizers, semiconductor etchant gas, soil fumigants, fine halogen chemicals, electronic specialty gases, and heat stabilizers applications. The company markets its products in electronics/semiconductor, pharmaceutical, food and beverage, personal care, paints and coatings, dairy, chemical intermediates, gemological, fish and wildlife, nylon, x-ray contrast media industries. It serves animal nutrition, biocidal paints and coatings, disinfectants, x-ray contrast media, phar…
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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.