Chudenko Corporation (CKOCF) Fair Value & Analysis
Industrials · US · Market cap $1.4B
Analysis
Chudenko Corporation (CKOCF) currently trades at $27.11, while our model-based Fair Value estimate is $45.33 — implying the stock looks roughly 67.2% undervalued today. We read business quality at 95/100 (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
Chudenko Corporation operates as an equipment engineering company in Japan. The company undertakes electrical works, such as light/outlet, image/sound/TV/broadcast, power receiving/transforming, and plant equipment works; energy-related works comprising wind/solar power generation, cogeneration, energy-saving power, and private power generation system works; and environment-related works, including recycling and heat storage system works. It also undertakes electric line/distribution line/leading wire/underground line works; and office/household water and sewerage, and industrial water and sewerage facilities works, as well as constructs, maintains, and repairs roads and architecture. In addition, the company is involved in Internet/intranet, CATV/community wireless system/telephone, LAN, optical and mobile communication, and OA floor equipment, as well as system integration and integrated information wiring works; air-conditioning/cooling, heating/water supply, drainage/sanitation/…
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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.