EcoSynthetix Inc (ECSNF) Fair Value & Analysis
Basic Materials · US · Market cap $130M
Fair value as of: Jun 24, 2026
Analysis
EcoSynthetix Inc (ECSNF) currently trades at $2.21, while our model-based Fair Value estimate is $1.96 — implying the stock looks roughly 11.3% overvalued today. We read business quality at 95/100 (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: low).
About the company
EcoSynthetix Inc., a renewable chemicals company, develops and markets bio-based technologies as replacement solutions for synthetic, petrochemical-based chemicals and related products in the Americas, Europe, the Middle East and Africa, and the Asia Pacific. The company offers DuraBind an engineered biopolymer for manufacturing wood-based panels; SurfLock, a strength aid for manufacturing pulp-based products; EcoSphere Biolatex binders for manufacturing graphic paper and paperboard; and Bioform biopolymers for manufacturing personal care products. It also provides EcoMer bio monomers, a family of functional bio-based monomers; and EcoStix Bio-PSA, a family of sugar-acrylic, pressure-sensitive adhesives. EcoSynthetix Inc. was founded in 1996 and is headquartered in Burlington, Canada.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is EcoSynthetix Inc (ECSNF) undervalued?
What is the fair value of ECSNF?
What is the quality score of ECSNF?
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.