6K Additive, Inc (6KA) Fair Value & Analysis
Basic Materials · AU · Market cap A$168M
Fair value as of: Jun 24, 2026
Analysis
6K Additive, Inc (6KA) currently trades at A$0.7700, while our model-based Fair Value estimate is A$0.7100 — implying the stock looks roughly 7.8% overvalued today. We read business quality at 87/100 (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
6K Additive, Inc. produces premium metal powders, alloy additions, and mill products for additive manufacturing and other applications in the United States. Its products include metal powders, alloy compacts, and mill products. It offers two types of metal powder including spherical metal powders for principal additive manufacturing products with particle size distributions for laser powder bed fusion (LPBF), electron beam melting (EBM), directed energy deposition (DED/laser blown powder) and binder jetting; and angular metal powders including titanium and chromium powders for cold spray, coatings and conventional powder metallurgy markets. The company's alloy compacts including titanium/zirconium additions are melt additives consumed primarily in aluminum alloying and other metallurgical processes including rolling mills, casthouses and foundries to control chemistry, and microstructure in aluminum production. The company also offers mill products comprising nickel and titanium ing…
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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.