Kaiser Aluminum Corporation (KALU) Fair Value & Analysis
Basic Materials · US · Market cap $3.1B
Analysis
Kaiser Aluminum Corporation (KALU) currently trades at $179.11, while our model-based Fair Value estimate is $100.48 — implying the stock looks roughly 43.9% 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: high).
About the company
Kaiser Aluminum Corporation, together with its subsidiaries, manufactures and sells semi-fabricated specialty aluminum mill products. It offers flat-rolled plate, sheet, and coil; extruded rod, bar, hollows, and shapes; drawn rod, bar, pipe, tube, and wire; and cast aluminum products. The company also offers aero/HS products, such as heat-treated plates and sheets, hard alloy extruded shapes, cold finish rods and bars, and seamless drawn tubes and billets used for end uses in the global aerospace, space, and defense industries, as well as packaging products, including bare and coated 3000 and 5000-series alloy aluminum coils used in beverage and food packaging industry. In addition, the company provides general engineering products comprising 6000-series aluminum alloy plate, sheet, rod, bar, tube, wire, and standard extruded shapes used in various applications, including the production of armor for military vehicles, ordnances, semiconductor manufacturing cells, electronic devices,…
Open the full interactive analysis →
Similar stocks
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.