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Recruit Holdings (RCRRF) Fair Value & Analysis

Communication Services · US · Market cap $94.0B

Price$68.54
Fair Value$46.77
Upside-31.8%
Quality96/100
Evidence: High Range $35.07 – $58.46

Analysis

Recruit Holdings (RCRRF) currently trades at $68.54, while our model-based Fair Value estimate is $46.77 — implying the stock looks roughly 31.8% overvalued today. We read business quality at 96/100 (high quality), in the Communication Services 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

Recruit Holdings Co., Ltd. provides HR technology and business solutions that transforms the world of work. It operates through three segments: HR Technology, Staffing and Marketing Matching Technologies. The HR Technology segment provides online matching and hiring platforms connecting job seekers and employers. The Staffing segment offers temporary staffing and other related services for clerical, manufacturing, light industry, and various professional positions across industries in Japan, Europe, the United States, and Australia. The Marketing Matching Technologies segment provides platform for beauty, travel, dining, and SaaS solutions as lifestyle; housing and real estate and other includes automobile, bridal, education, and other services in marketing solutions. The company was formerly known as Recruit Co., Ltd. and changed its name to Recruit Holdings Co., Ltd. in October 2012. Recruit Holdings Co., Ltd. was founded in 1960 and is headquartered in Tokyo, Japan.

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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.