Beijing LeiKe Defense Technology Co (002413) Fair Value & Analysis
Technology · CN · Market cap 13.7B CNY
Fair value as of: Jun 25, 2026
Analysis
Beijing LeiKe Defense Technology Co (002413) currently trades at ¥10.04, while our model-based Fair Value estimate is ¥1.91 — implying the stock looks roughly 81.0% overvalued today. We read business quality at 95/100 (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: high).
About the company
Beijing LeiKe Defense Technology Co., Ltd. researches, develops, manufactures, and sells radar systems, satellite applications, intelligent control, secure storage, and intelligent networking products. The company offers remote sensing radar series, area surveillance radar series, safety monitoring radar series, car radars, signal processing series, and radar simulation test and verification series products; and millimeter wave, TV/infrared dual-mode, laser and other pattern recognition equipment, and integrated navigation systems. It also provides multi-mode multi-frequency satellite navigation baseband processing chips, baseband signal processing chips, satellite navigation modules, special satellite navigation terminals, civil satellite navigation terminals, and satellite navigation simulators; storage disks, storage devices, and storage systems; and radar simulation tester and navigation simulator series. In addition, the company offers agricultural machinery pre-installed autom…
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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.