CITIC Offshore Helicopter Co (000099) Fair Value & Analysis
Industrials · CN · Market cap 13.3B CNY
Analysis
CITIC Offshore Helicopter Co (000099) currently trades at ¥15.74, while our model-based Fair Value estimate is ¥8.36 — implying the stock looks roughly 46.9% overvalued today. We read business quality at 93/100 (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: high).
About the company
CITIC Offshore Helicopter Co., Ltd., together with its subsidiaries, engages in the general aviation industry in China. It operates through General Aviation Transport Services Shenzhen Branch, General Aviation Transport Services Tianjin Branch, General Aviation Transport Service Zhanjiang Branch, General Aviation Transport Services Zhejiang/Shanghai Branch, General Aviation Transport Services Hainan Branch, The Wuhan Branch of General Aviation Transportation Services, General Aviation Maintenance (Shenzhen) Division, and Others segments. The company offers general aviation services, including helicopter maritime oil and gas flight services, emergency rescue, port pilotage, land-based general aviation, and general aviation maintenance services. It also owns and operates a fleet of approximately 80 helicopters. In addition, the company provides flight services to Chinese government departments and enterprises for official flights, maritime law enforcement monitoring, maritime rescue, …
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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.