Fairvalue-Calculator Fairvalue-Calculator

Youngor Fashion Co (600177) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 34.7B CNY

Price¥7.50
Fair Value¥5.59
Upside-25.5%
Quality95/100
Evidence: High Range ¥5.59 – ¥7.29

Analysis

Youngor Fashion Co (600177) currently trades at ¥7.50, while our model-based Fair Value estimate is ¥5.59 — implying the stock looks roughly 25.5% 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: high).

About the company

Youngor Fashion Co., Ltd. engages in the real estate development and financial investment activities in China and internationally. The company develops real estate properties, as well as offers hotel and property management, tourism development, health care, and other related services. It is also involved in the wool, hemp, and cotton spinning business; and designs shirts, suits, trousers, jackets, ties, and T-shirts under the Youngor, Mayor Youngor, Hart Schaffner Marx, HANP brands. In addition, the company engages in the trading of oil, chemical engineering, iron and steel, non-ferrous metals, and agricultural products; foreign trade; auto trading business; and logistics and bidding business. The company was formerly known as Youngor Group Co.,Ltd and changed its name to Youngor Fashion Co., Ltd. in December 2023. The company was founded in 1979 and is headquartered in Ningbo, China.

Open the full interactive analysis →

Similar stocks

H & M Hennes & Mauritz AB (HNNMY) +10% Ralph Lauren Corporation (RL) -0% Moncler S.p.A (MONRY) -4% Gildan Activewear Inc (GIL) -37% LPP SA (LPP) -4% Levi Strauss & Co (LEVI) -37%

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.