Comture Corporation (CMTUF) Fair Value & Analysis
Technology · US · Market cap $471M
Fair value as of: Jun 24, 2026
Analysis
Comture Corporation (CMTUF) currently trades at $14.76, while our model-based Fair Value estimate is $12.29 — implying the stock looks roughly 16.7% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Comture Corporation provides cloud, digital, business, platform and operation, and digital learning solutions in Japan. It offers system solutions and other services; and data analysis solutions using big data and AI tools, as well as support services for the automation of business processes using robotic process automation tools. The company also engages in the construction, operation, modernization and consulting of accounting, personnel, fintech, and other core IT systems. In addition, it is involved in the design, construction, and operation of system and network environment; remote surveillance of IT systems; and help desk operation activities. Further, the company offers education services using e-learning and other platforms. Comture Corporation was incorporated in 1985 and is headquartered in Tokyo, Japan.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Comture Corporation (CMTUF) undervalued?
What is the fair value of CMTUF?
What is the quality score of CMTUF?
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.