NOVONIX Limited (NVNXF) Fair Value & Analysis
Industrials · US · Market cap $120M
Fair value as of: Jun 26, 2026
Analysis
NOVONIX Limited (NVNXF) currently trades at $0.1250, while our model-based Fair Value estimate is $0.1500 — implying the stock looks roughly 20.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
NOVONIX Limited, a battery technology and materials company, provides products and mission critical services in North America, Asia, Australia, and Europe. It operates through Battery Materials, Battery Technology, and Graphite Exploration segments. The company develops and manufactures battery anode materials and battery cell testing equipment; performs consulting services; and carries out research and development in battery development. It also manages, maintenance, and develops Mount Dromedary natural graphite deposit located in Northern Queensland, Australia. In addition, the company is involved in investment and management, and real estate borrowing activities, as well as battery technology activities. It serves battery manufacturers, materials companies, automotive original equipment manufacturers (OEMs), and consumer electronics manufacturers. The company was formerly known as Graphitecorp Limited and changed its name to NOVONIX Limited in July 2017. NOVONIX Limited was incor…
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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.