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WELLE Environmental Group (300190) Fair Value & Analysis

Industrials · CN · Market cap 4.0B CNY

Price¥4.08
Fair Value¥2.36
Upside-42.2%
Quality93/100
Evidence: Medium Range ¥1.50 – ¥3.30

Analysis

WELLE Environmental Group (300190) currently trades at ¥4.08, while our model-based Fair Value estimate is ¥2.36 — implying the stock looks roughly 42.2% overvalued today. We read business quality at 93/100 (high quality), in the Industrials 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

WELLE Environmental Group Co.,Ltd, together with its subsidiaries, provides treatment solutions for municipal, agricultural, and industry fields in the People's Republic of China and internationally. It provides food waste, kitchen waste, waste leachate, and municipal sewage treatment, as well as kitchen and food waste co-treatment, waste to energy, and river remediation solutions for municipal field; organic waste utilization and rural domestic sewage treatment solutions for agricultural sector; and industrial wastewater and flue gas treatment, as well as VOC recovery, industrial energy saving and waste utilization solutions for industry sector. WELLE Environmental Group Co.,Ltd was formerly known as Jiangsu WELLE Environmental Co.,Ltd and changed its name to WELLE Environmental Group Co.,Ltd in March 2019. The company was founded in 2003 and is headquartered in Changzhou, the People's Republic of China.

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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.