California Nanotechnologies Corp (CANOF) Fair Value & Analysis
Basic Materials · US · Market cap $8.2M
Fair value as of: Jun 26, 2026
Analysis
California Nanotechnologies Corp (CANOF) currently trades at $0.2000, while our model-based Fair Value estimate is $0.4000 — implying the stock looks roughly 100.0% 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: medium) — always confirm before acting.
About the company
California Nanotechnologies Corp. engages in the research, development, and production of nanocrystalline materials through grain size reduction. The company offers sintering, bonding, and hot isostatic pressing services, including spark plasma/field assisted sintering, hot pressing/direct hot pressing, high temp sintering, diffusion bonding, and vacuum/pressure-less sintering; cryo milling/particle reduction/grinding comprising cryogenic milling and grinding, planetary ball milling, mechanical alloying, inert gas milling, pulverizing, and mechanical alloying services; and material development/testing, such as composites/nano-composites, mechanical testing and analysis, sample fabrication, prototyping, SEM analysis, and particle size analysis, as well as coating targets/sputter targets. It also provides tooling and consumables, which consists of high strength SPS graphite tooling, tungsten carbide tooling, carbon graphite foil/paper, and carbon felt and yarn, as well as spark plasma…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is California Nanotechnologies Corp (CANOF) undervalued?
What is the fair value of CANOF?
What is the quality score of CANOF?
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.