3S Industry Group (605305) Fair Value & Analysis
Industrials · CN · Market cap 7.9B CNY
Analysis
3S Industry Group (605305) currently trades at ¥40.43, while our model-based Fair Value estimate is ¥50.65 — implying the stock looks roughly 25.3% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
3S Industry Group Inc., together with its subsidiaries, provides wind energy, construction, and safety protection equipment in China and internationally. The company offers service lifts, climb auto systems, climb assists, offshore davit cranes, aluminum ladders, suspended platforms, and passive smart locks and control systems. It also provides ladder hoists, trailer lifts, tower climbers, industrial elevators, transport platforms, construction hoists, retractable discharge platforms, mast climbing work platforms, and electric rope hoists. In addition, the company offers transformers and switchgears; evacuation and rescue devices, vertical and horizontal fall protection systems, self-retracting lifelines, and body harnesses. Further, it provides engineering services; kit-setting, procurement, and logistics services; operation, installation, and maintenance training, as well as online training; installation, maintenance, troubleshooting, and repair on demand services; and retrofit so…
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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.