Fairvalue-Calculator Fairvalue-Calculator

Ziel Home Furnishing Technology Co (301376) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 6.4B CNY

Price¥15.75
Fair Value¥16.89
Upside+7.2%
Quality95/100
Evidence: High Range ¥12.26 – ¥21.53

Analysis

Ziel Home Furnishing Technology Co (301376) currently trades at ¥15.75, while our model-based Fair Value estimate is ¥16.89 — implying the stock looks roughly 7.2% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Ziel Home Furnishing Technology Co., Ltd., together with its subsidiaries, engages in the research, design, development, and sale of home furnishing products in China, Europe, North America, Japan, and internationally. The company offers home storage and decor, patio and garden supplies, and sports and outdoor gear; furniture products; and pet supply solutions for rest, travel, play, and pet waste management. It sells its products under the SONGMICS HOME, SONGMICS, VASAGLE, and Feandrea brands through e-commerce platforms. The company also engages in supply chain management activities. It exports its products. Ziel Home Furnishing Technology Co., Ltd. was founded in 2007 and is headquartered in Zhengzhou, China.

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.