Edan Instruments, Inc (300206) Fair Value & Analysis
Healthcare · CN · Market cap 7.7B CNY
Analysis
Edan Instruments, Inc (300206) currently trades at ¥13.16, while our model-based Fair Value estimate is ¥11.22 — implying the stock looks roughly 14.7% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
Edan Instruments, Inc. engages in the research, development, manufacture, and service of medical electronic equipment and in vitro diagnostic products in China and internationally. The company offers ECG products, including resting ECG, stress test, holter, wireless solution, and ECG workstation products; patient monitoring systems, such as modular and compact patient monitor, vital signs, telemetry and IT products; and obstetrics, pelvic floor rehabilitation, and gynecology products. It also provides ultrasound systems that include cart-based color doppler, portable color doppler, and B/W ultrasound systems; and in-vitro diagnostics, which comprise hematology and reagents. In addition, the company offers point-of-care testing systems, including blood gas and chemistry analyzers, disposable arterial blood samplers, and blood gas capillary tubes; and veterinary ultrasound, ECG, laboratory, and monitoring products. Edan Instruments, Inc. was founded in 1995 and is headquartered in She…
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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.