Pony Testing Co (300887) Fair Value & Analysis
Industrials · CN · Market cap 4.4B CNY
Analysis
Pony Testing Co (300887) currently trades at ¥7.66, while our model-based Fair Value estimate is ¥3.09 — implying the stock looks roughly 59.7% overvalued today. We read business quality at 95/100 (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
Pony Testing Co., Ltd. provides testing, measurement, calibration, inspection, evaluation, factory inspection, and other professional one-stop technical solutions in China. The company offers biopharmaceutical CRO/CDMO and drug testing services; medical device testing; medical testing/pathological diagnosis; toxicology and pathology experiments; food/liquor/beverage testing; agricultural product testing; and health product testing services. It also provides drinking water/mineral water and other packaged water products testing; ecological environment monitoring; environmental consulting and operation/environmental stewardship/identification of hazardous waste properties; and energy saving and carbon reduction/carbon measurement/carbon footprint/carbon neutralization/ESG services. In addition, the company offers occupational health/public health/school health; nuclear and radiation/radiation health; automobile whole vehicle/parts/new energy vehicle testing; new energy vehicle power b…
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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.