Nanofilm Technologies International Limited (NNFTF) Fair Value & Analysis
Technology · US · Market cap $278M
Fair value as of: Jun 24, 2026
Analysis
Nanofilm Technologies International Limited (NNFTF) currently trades at $0.4261, while our model-based Fair Value estimate is $0.2500 — implying the stock looks roughly 41.3% overvalued today. We read business quality at 88/100 (high quality), in the Technology 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
Nanofilm Technologies International Limited, together with its subsidiaries, provides nanotechnology solutions in Singapore, China, Japan, and Vietnam. It operates through Advanced Materials, Industrial Equipment, Nanofabrication, and Sydrogen Energy segments. The Advanced Materials segment offers advanced materials through surface solution services based on vacuum coating technology across a range of industries. The Industrial Equipment segment manufactures and sells turnkey equipment systems, such as coating equipment, cleaning lines, and automation systems. This segment also provides customized operating software, training, spare parts, customer service, and other after-sales support services. The Nanofabrication segment manufactures and supplies nanoproducts in optical imaging lens and sensory components critical to customers' end-products. The Sydrogen segment provides critical fuel cell components with proprietary conductive diamond coatings, and fuel cell system solutions for…
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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.