Miroku Jyoho Service Co (RKICF) Fair Value & Analysis
Technology · US · Market cap $322M
Fair value as of: Jun 25, 2026
Analysis
Miroku Jyoho Service Co (RKICF) currently trades at $10.77, while our model-based Fair Value estimate is $22.05 — implying the stock looks roughly 104.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Miroku Jyoho Service Co., Ltd. provides systems and solutions to tax accounting and CPA firms, and their client companies, and small/mid-sized companies in Japan. The company is involved in development of computer systems and application software; planning and development of industry-specific and process-specific application software; consulting from ERP deployment to development, operation and instructional guidance; and providing education and training, and support for business succession and revitalization for small enterprises. It also engages in organizational and HR diagnostics; organizational and HR consulting; HR flow services; improving efficiency of store cash management and distribution; provides contract management, invoicing-related clerical services outsourcing, media and advertising agency, experience management services, business development and market analysis consulting, and individual credit purchasing agency services; digital marketing support business; and DX pl…
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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.