Relo Group (RELOF) Fair Value & Analysis
Industrials · US · Market cap $1.8B
Analysis
Relo Group (RELOF) currently trades at $11.84, while our model-based Fair Value estimate is $14.65 — implying the stock looks roughly 23.7% undervalued today. We read business quality at 96/100 (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
Relo Group, Inc. engages in the provision of property management services in Japan. The company is involved in the leased corporate housing management business that include consulting of dormitories and corporate housing, unattended house management services, real estate including brokerage and agency services for temporary residence, and real estate services and real estate brokerage; property management business; and tourism business. It also engages in the global relocation support business, which consists of global consulting training concerning overseas transfer, overseas business trips, accepting of foreigner employees, and overseas transfer regulations and treatment; solutions for HR activities; survey, sales and consulting of various indices; serviced apartment operation and management; and real estate brokerage. In addition, the company is involved in the finance and insurance business that comprises consulting for insurance. The company was formerly known as Relo Holdings,…
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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.