Makino Milling Machine Co (MKMLF) Fair Value & Analysis
Industrials · US · Market cap $2.0B
Fair value as of: Jun 24, 2026
Analysis
Makino Milling Machine Co (MKMLF) currently trades at $85.83, while our model-based Fair Value estimate is $116.84 — implying the stock looks roughly 36.1% undervalued today. We read business quality at 97/100 (high quality), in the Industrials 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
Makino Milling Machine Co., Ltd. engages in the manufacture, sale, and maintenance of machine tools in Japan, Asia, the United States, Europe, and internationally. The company offers machining centers, NC electrical discharge machines (EDM), milling machines, FMS, CAD/CAM systems, and other products. It also provides 5-axis, 4-axis, and 3-axis horizontal and vertical machining, graphite machining centers, wire EDM, sinker EDM, EDM hole drilling, and grinding machines; CNC machining monitoring programs; and automation solutions, including robot integration, linear pallet pool system, fixture plate handling system, pallet automation, and factory automation. In addition, the company provides engineering services, such as application engineering, machine tool integration, and turnkey services. It serves aerospace, automotive, die/mold/ job shops, medical, micromachining, and semiconductor industries. The company was formerly known as Makino Vertical Milling Machine Works and changed its…
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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.