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Inner Mongolia First Machinery Group (600967) Fair Value & Analysis

Industrials · CN · Market cap 20.4B CNY

Price¥11.85
Fair Value¥4.13
Upside-65.1%
Quality95/100
Evidence: High Range ¥3.10 – ¥5.16

Fair value as of: Jun 24, 2026

Analysis

Inner Mongolia First Machinery Group (600967) currently trades at ¥11.85, while our model-based Fair Value estimate is ¥4.13 — implying the stock looks roughly 65.1% 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

Inner Mongolia First Machinery Group Co.,Ltd. provides military and civilian products in China. It offers tanks, wheeled chariots, gondola, tankers, funnel cars, boxcars, flat cars, VIP cars, crawler bulldozers, energy-saving motors, and railway and heavy vehicle parts, as well as petroleum machineries, and other products. The company also provides snow clearing vehicles, agricultural cars and vehicles, firefighting equipment, fire trucks, and rescue tanks. The company was founded in 2000 and is based in Baotou, China.

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Frequently asked questions

Is Inner Mongolia First Machinery Group (600967) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥4.13 versus a price of ¥11.85 — about −65% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600967?
Our 21-model fair value for Inner Mongolia First Machinery Group is ¥4.13 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥11.85.
What is the quality score of 600967?
Inner Mongolia First Machinery Group has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.