Shinih Enterprise Co (9944) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 1.8B TWD
Fair value as of: Jun 24, 2026
Analysis
Shinih Enterprise Co (9944) currently trades at 17.85 TWD, while our model-based Fair Value estimate is 14.38 TWD — implying the stock looks roughly 19.4% overvalued today. We read business quality at 93/100 (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: medium).
About the company
Shinih Enterprise Co., Ltd., together with its subsidiaries, manufactures and sells non-woven products in Taiwan, China, the United States, and Southeast Asia. The company offers functional insulation products, including standard battings, loose fill/down and ball type, stretch battings, and specialty functional for apparel, sleeping bags and equipment, gloves and accessories, footwear, beddings, and furniture applications under the THERMOLITE, CLOMAX, and SHINIH STANDARD brands. It also provides needle punch, melt blown, VFT, spunbond, air-through, spunlace, and other fabrics for automobile interior materials, filtration, vibration absorption, flame-retardant material, and geotextile applications. In addition, the company is involved in investing and trading activities; manufacturing and sales of textile machinery; and construction, sale, and leasing of residential and commercial buildings. Shinih Enterprise Co., Ltd. was founded in 1962 and is headquartered in Taoyuan City, Taiwan.
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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.