Kyland Technology Co (300353) Fair Value & Analysis
Technology · CN · Market cap 14.2B CNY
Analysis
Kyland Technology Co (300353) currently trades at ¥22.22, while our model-based Fair Value estimate is ¥2.69 — implying the stock looks roughly 87.9% overvalued today. We read business quality at 93/100 (high quality), in the Technology 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
Kyland Technology Co., Ltd. provides industrial Ethernet technology in China and internationally. The company offers industrial Ethernet solutions, including layer 3 backbone, rackmount, DIN rail, EN50155, un-managed, TSN, HSR/PRP, and PoE switches; optical fiber converters; industrial Ethernet modules; network management software; SFP modules; accessories; and multi-function switching platforms. It also provides industrial communication chips/bus chips; industrial Internet OS/cloud platforms; and edge computing servers, such as industrial, traffic, and power servers. In addition, the company offers precise timing solutions, which include time servers, distributors, convertors, and test analyzers; industrial serial + gateway solutions comprising serial device servers, intelligent gateways, and gateways and switch all-in-one; and smart city and energy Internet products. Its products are used in the power, rail, oil and gas, and automation markets. Kyland Technology Co., Ltd. was foun…
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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.