Zig Sheng Industrial Co Ltd (1455) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 4.9B TWD

Below-average quality, currently priced close to our fair value.

What matters now

• The model range is unusually wide (5.25 TWD to 13.65 TWD). The outcome hinges heavily on assumptions, so read the point estimate with caution.
• The price sits close to our fair value, market and models broadly agree here, little valuation tension.

Price vs Fair Value (5 years)

White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 13, 2026.

How to read this chart

60‑month range 7.55 TWD – 25.92 TWD · fair‑value band 5.25 TWD – 13.65 TWD · the 9.77 TWD price screens above the 9.45 TWD fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Aug 13, 2026.

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Analysis

Zig Sheng Industrial Co Ltd (1455) currently trades at 9.77 TWD, while our model-based Fair Value estimate is 9.45 TWD, implying the stock looks roughly 3.3% fairly valued today. The Quality Score stands at 41/100 (below-average 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).

Over the trailing twelve months, Zig Sheng Industrial Co Ltd generated revenue of 5.6B TWD at a net margin of -7.7%. Revenue declined 31.9% year over year. It earns a return on equity of -7.3%. Net debt stands at 2.4B TWD. Fundamentals as of Aug 13, 2026

Our scenario range runs from 5.25 TWD (bear case) to 13.65 TWD (bull case); at 9.77 TWD, the current price sits within that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 8% below its 52-week high and 30% above its 52-week low, currently above its 200-day average. For context, the median of 10 Consumer Cyclical peers we cover trades at -7% fair-value upside, at -3%, 1455 screens cheaper than that median.

Fair Value models

Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.

Widest divergence: DCF Models (16.71 TWD) versus Dividend Discount (0.9600 TWD). Highest evidence: Growth DCF (80).

Key figures & financial health

Quality Score breakdown

About the company

Zig Sheng Industrial Co., Ltd., together with its subsidiaries, engages in the spinning, weaving, dyeing, finishing, printing, processing, and trading of various filaments, artificial cotton, and nylon fibers in Taiwan, Mainland China, rest of Asia, the Americas, Africa, Europe, and Oceania.

Full company description

Zig Sheng Industrial Co., Ltd., together with its subsidiaries, engages in the spinning, weaving, dyeing, finishing, printing, processing, and trading of various filaments, artificial cotton, and nylon fibers in Taiwan, Mainland China, rest of Asia, the Americas, Africa, Europe, and Oceania. It operates through Fiber Operating, Chemical Materials Operating, and Other segments. The company offers nylon/polyester filaments comprising full drawn, partially oriented, and highly oriented yarns; nylon/polyester textured yarns consisting of pattern, functional, recycled, and air textured yarn products; nylon chips; polyamide compounds; and hollow fiber membranes. It also engages in the production, selling, and import/export trading of fiber raw materials for use in the petrochemical industry; manufacture of synthetic resin and industrial plastic; wholesale, export, import, and commission agent of plastic materials, chemical products, chemical fiber products, textile materials, and mechanical and electrical equipment and parts, as well as related auxiliary services; technical consulting; on-site repairment services for mechanical and electrical equipment and parts; general import and export trading; and investment activities. The company's products are used in everyday and functional workout wear, underwear, accessories, trims, beddings, upholstery, footwear, hosiery, outdoor travel, and industrial yarn; textile, engineering plastic, films, and specialized products; vehicles, electric motor, consumer products, high viscosity grades, and sports equipment; and household drinking water filtration, industrial wastewater treatment, and mobile bio-reactor systems. Zig Sheng Industrial Co., Ltd. was incorporated in 1969 and is headquartered in Taipei, Taiwan.

Company description, as reported by the company or data provider.

Revenue & earnings trend

FY2021 – FY2025 · reported fiscal years

Zig Sheng Industrial Co Ltd reported revenue of 6.2B TWD in FY2025 versus 11.2B TWD in FY2021, a compound −13.8%/yr. Reported net income was −524M TWD in FY2025.

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Peer Group

Textile Manufacturing · 320 stocks

How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.

Valuation Multiples vs Textile Manufacturing median · lower = cheaper

Snowflake

Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.

Values & ESG

Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.

ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.

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Frequently asked questions

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.