Lubair Aviation Technology Co (001316) Fair Value & Analysis
Industrials · CN · Market cap 6.1B CNY
Analysis
Lubair Aviation Technology Co (001316) currently trades at ¥36.50, while our model-based Fair Value estimate is ¥23.96 — implying the stock looks roughly 34.4% 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: high).
About the company
Lubair Aviation Technology Co., Ltd. provides aviation material solutionsThe company offers aircraft parts, such as communication, landing gear, engine, flight control/navigation, hydraulic, cabin, lighting, structure, APU, parking apron, gallery bridge, and terminal; and repair workshop services. It also provides lubricating oil, seat belt, scouring pad, sheet material, fuse, decorative strip, marking pen, standard parts, surface treatment, glass mcro-ball material, test agent, deicing fluid, hook and loop fasteners, grinding, printer paper, wire, floor sealant, ground consumable and headset, light bulb, battery, plugs, silica gel, antifreeze, preservative, privacy film, pilot headset, honeycomb core, SERVICE, steel cable, insulation material, tool, interior laminator, consumable, adhesive tape and film, metallic material, nylon cable tie, PPE, coolant, grain, aluminum foil, and extinguishing agent. In addition, the company offers sandblasting material, other ground support equipme…
Open the full interactive analysis →
Similar stocks
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.