FST Corp (KBSX) Fair Value & Analysis
Consumer Cyclical · US · Market cap $53.7M
Fair value as of: Jun 24, 2026
Analysis
FST Corp (KBSX) currently trades at $1.10, while our model-based Fair Value estimate is $0.8400 — implying the stock looks roughly 23.6% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
FST Corp. develops, produces, and sells golf shafts and other sports equipment under the KBS brand in Taiwan and internationally. The company provides shafts for irons, such as KBS TOUR series that can be fitted into iron golf clubs, pitching wedge, and sand wedge; KBS TOUR LITE series provides tight dispersion, trajectory, additional spin, and longer distance in a lightweight package; KBS TOUR-V series, a steel shaft that features larger outer diameters; KBS 560 and 580 series developed for junior developing players; KBS MAX 80 Series, a lightweight shaft designed for mid-high handicap players; KBS Tour $-Taper series provides shot workability and tight dispersion; and KBS Tour $-Taper Light series, a lightweight tour performance golf club shaft. It offers shafts for wedges including KBS Wedge series for players seeking a similar feel to the KBS TOUR; KBS Tour 610 Wedge series shaft that delivers penetrating ball flight with controlled spin; KBS TOUR-V Wedge shaft to produce shots …
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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.