Flexible Solutions International, Inc (FSI) Fair Value & Analysis
Basic Materials · US · Market cap $82.5M
Fair value as of: Jun 24, 2026
Analysis
Flexible Solutions International, Inc (FSI) currently trades at $6.45, while our model-based Fair Value estimate is $1.70 — implying the stock looks roughly 73.6% overvalued today. We read business quality at 86/100 (high quality), in the Basic Materials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Flexible Solutions International, Inc., together with its subsidiaries, develops, manufactures, and markets specialty chemicals that slow the evaporation of water in Canada, the United States, and internationally. The company operates in two segments, Energy and Water Conservation Products, and Biodegradable Polymers. It offers thermal polyaspartates (TPAs) for oilfields to reduce scale and corrosion in various water systems; and for the agricultural industry to reduce fertilizer crystallization before, during, and after application, as well as to prevent crystal formation between fertilizer and minerals present in the soil. The company provides TPAs for irrigation to prevent early plugging of drip irrigation ports, reduce maintenance costs, and lengthen the life of equipment; TPAs for cleaning products to prevents the re-deposition of dirt onto the surfaces; and TPAs as additives for household laundry detergents, consumer care products, and pesticides. In addition, it offers nitrog…
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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.