Fangda Special Steel Technology Co (600507) Fair Value & Analysis
Basic Materials · CN · Market cap 9.9B CNY
Analysis
Fangda Special Steel Technology Co (600507) currently trades at ¥4.11, while our model-based Fair Value estimate is ¥6.92 — implying the stock looks roughly 68.4% undervalued today. We read business quality at 92/100 (high quality), in the Basic Materials 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
Fangda Special Steel Technology Co., Ltd. manufactures, process, and sells ferrous metal smelting and related products in China. It operates through two segments, Special Steel Industry and Mining Industry. The company offers spring steel flat bars used in the automobile leaf spring and steering arm of air suspension; leaf spring; and hot-rolled steel bars, including ribbed bars, plate round bars, and resin anchoring bolt bars. It also provides free cutting steel wire rods, flat bars, and round bars used in the auto-parts manufacture of electronic and electrical appliances, auto parts, medical equipment, instrumentation, lighting furniture, watches, printing consumables, machine tools, various fasteners, and standard parts of various machines. In addition, the company engages in the iron ore concentrate, processing of metallurgical raw materials and fuels, and other businesses. Further, its products are primarily used in construction, automobile manufacturing, and other industries. …
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.