Fu Shou Yuan International Group (FSHUF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $863M
Analysis
Fu Shou Yuan International Group (FSHUF) currently trades at $0.3800, while our model-based Fair Value estimate is $0.4800 — implying the stock looks roughly 26.3% undervalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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
Fu Shou Yuan International Group Limited, together with its subsidiaries, provides burial and funeral services in the People's Republic of China. It operates through Burial Services, Funeral Services, and Other Services segments. The Burial Services segment sells burial plots; and offers cemetery maintenance services. The Funeral services segment engages in the planning of funeral arrangement; and interment, organizing, and hosting of the funeral. The Other Services segment produces and sells cremation machines and related maintenance services; and provides landscape and garden design, and construction services. The company offers flowers and related designing services; and manufactures and sells cremation devices, as well as after-sales service for cremation devices. It also sells agricultural products; and provides education services. The company operates cemeteries and funeral facilities. Fu Shou Yuan International Group Limited was founded in 1994 and is headquartered in Shangha…
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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.