Vontron Technology Co (000920) Fair Value & Analysis
Industrials · CN · Market cap 6.8B CNY
Fair value as of: Jun 25, 2026
Analysis
Vontron Technology Co (000920) currently trades at ¥14.11, while our model-based Fair Value estimate is ¥9.80 — implying the stock looks roughly 30.5% overvalued today. We read business quality at 83/100 (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
Vontron Technology Co., Ltd. researches, develops, manufactures, and sells separation membranes and related materials in China and internationally. The company offers Industrial reverse osmosis membrane RO, nanofiltration membrane NF, enhanced reverse osmosis helixfil, zero emission ZERO, ultrapure water reverse osmosis membrane, SP film for food and beverages, ultrafiltration membrane VUF, and household film.It also researches, produces, and sells plant fiber elastic materials and products, furniture, bedding, and pillows. The company was formerly known as South Huiton Co., Ltd. and changed its name to Vontron Technology Co., Ltd. in September 2021. Vontron Technology Co., Ltd. was founded in 1975 and is headquartered in Guiyang, China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Vontron Technology Co (000920) undervalued?
What is the fair value of 000920?
What is the quality score of 000920?
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.