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Fanuc Corporation (FANUF) Fair Value & Analysis

Industrials · US · Market cap $43.5B

Price$46.50
Fair Value$23.38
Upside-49.7%
Quality95/100
Evidence: High Range $17.54 – $29.23

Fair value as of: Jun 24, 2026

Analysis

Fanuc Corporation (FANUF) currently trades at $46.50, while our model-based Fair Value estimate is $23.38 — implying the stock looks roughly 49.7% 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

Fanuc Corporation engages in the development, manufacture, sale, and maintenance services of products used in automated production systems in Japan, the United States, Europe, China, the rest of Asia, and internationally. The company offers CNC series, robots, and robomachine products, such as servo motors, lasers, compact machining centers, electric injection molding machines, wire electrical discharge machines, system basic package, and AI servo monitors. Fanuc Corporation was incorporated in 1950 and is headquartered in Yamanashi, Japan.

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Frequently asked questions

Is Fanuc Corporation (FANUF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $23.38 versus a price of $46.50 — about −50% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FANUF?
Our 21-model fair value for Fanuc Corporation is $23.38 (as of Jun 24, 2026), built from audited fundamentals. The current price is $46.50.
What is the quality score of FANUF?
Fanuc Corporation 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.