Guizhou Wire Rope Incorporated (600992) Fair Value & Analysis
Basic Materials · CN · Market cap 2.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Guizhou Wire Rope Incorporated (600992) currently trades at ¥9.53, while our model-based Fair Value estimate is ¥2.08 — implying the stock looks roughly 78.2% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Guizhou Wire Rope Incorporated Company researches, produces, processes, and sells steel wire ropes and strands, and related materials and equipment under the Julong brand in China and internationally. The company offers bridge cables; single, four-strand, multi-layer, special-shaped, compacted strand, point contact, parallel twisting, thick diameter, sealed, elevator, flat wire; with, and conveyor belt wire ropes, as well as wire ropes for balance, fishing, and control; commercial steel wires; and PC steel strands, including galvanized, prestressed concrete, and unbonded prestressed steel strands. It also provides wire rope slings comprising braided cable buckles, jointless braided rigging, aluminum alloy pressed joints, limb rigging, limb rigging sets, and hot and cold castings. The company serves the marine and military engineering, petroleum, ship, port and dock, bridge, large venue, manned ropeway, coal, metallurgy, chemical, electricity, elevator, and aerospace industries. It a…
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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.