Stella Chemifa Corporation (SLAHF) Fair Value & Analysis
Basic Materials · US · Market cap $267M
Fair value as of: Jun 24, 2026
Analysis
Stella Chemifa Corporation (SLAHF) currently trades at $21.90, while our model-based Fair Value estimate is $28.39 — implying the stock looks roughly 29.6% undervalued today. We read business quality at 96/100 (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
Stella Chemifa Corporation manufactures and sells high-purity chemical products in Japan and internationally. It offers hydrofluoric acid, buffered hydrofluoric acid, and etching solutions used in semiconductors and liquid crystal products; calcium, aluminum, lithium, strontium, barium, magnesium, lead fluoride and fluoride nanoparticles used in optical materials; and lithium hexafluorophosphate and fluoride nanoparticles for batteries. The company also provides boron trifluoride, boron trifluoride diethyl ether, boron trifluoride dimethyl ether, boron trifluoride n-butyl ether, boron trifluoride tetrahydrofuran, boron trifluoride phenol, boron trifluoride monoethyl amine, boron trifluoride piperidine, and triethylamine 3HF used in reactive catalysts; and hydrofluoric acid, ammonium fluoride, ammonium hydrogenfluoride, and borofluoride used in surface treatment and alternatives for CFCs. In addition, it offers potassium fluoroborate and boric acid for nuclear energy applications; ti…
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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.