Kobe Steel, Ltd (KBSTF) Fair Value & Analysis
Basic Materials · US · Market cap $4.9B
Analysis
Kobe Steel, Ltd (KBSTF) currently trades at $12.32, while our model-based Fair Value estimate is $17.76 — implying the stock looks roughly 44.2% undervalued today. We read business quality at 93/100 (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: high) — always confirm before acting.
About the company
Kobe Steel, Ltd. engages in the materials, machinery, and electric power businesses worldwide. The company offers steel sheet products, including high-tensile strength, hot and cold rolled, electro-galvanized, and hot-dipped galvanized steel sheets; steel wire rods and bars; and aluminum and steel plates. It also provides steel casting and forging products, such as crankshafts, marine parts, chemical processing equipment, and rolls; materials for plastic molding; and titanium products, copper sheets and strips, and steel powders. In addition, the company offers robots and electric power sources, and welding materials; and machinery products, including standard compressors, tire and rubber machinery products, rotating machinery products, plastic processing machinery products, advanced technology equipment, rolling mill products, and ultra-high-pressure equipment, as well as LNG vaporizers, pressure vessels, brazed aluminum heat exchangers, and micro channel heat exchangers and reacto…
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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.