CSD Water Service Co (603903) Fair Value & Analysis
Industrials · CN · Market cap 3.2B CNY
Analysis
CSD Water Service Co (603903) currently trades at ¥11.26, while our model-based Fair Value estimate is ¥7.52 — implying the stock looks roughly 33.2% 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: high).
About the company
CSD Water Service Co., Ltd., together with its subsidiaries, provides environmental services in China. The company offers municipal, industrial, and urban sewage treatment; industrial parks and wastewater treatment; environmental governance; industrial park environmental; groundwater pollution remediation; management of water environment; and sludge treatment and disposal services. It also provides self-activated denitrification filters, integrated multi-effect clarification systems, CSD complexing-coagulation-adsorption defluoridation agents, ozone-enhanced biofiltration technologies, drum dynamic aerobic high-temperature fermentation treatment units under the SG-DACT brand, and dry anaerobic fermentation units under the DANAS brand. In addition, the company engages in the sale of sewage treatment agents, environmentally friendly products, and water treatment equipment; research and experimental development; water production and supply; chemical raw materials and products manufactu…
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.