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Fitness Champs Holdings (FCHL) Fair Value & Analysis

Consumer Defensive · US · Market cap $1.8M

Price$1.31
Fair Value$1.82
Upside+38.9%
Quality91/100
Evidence: Medium Range $1.37 – $2.28

Fair value as of: Jun 24, 2026

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Analysis

Fitness Champs Holdings (FCHL) currently trades at $1.31, while our model-based Fair Value estimate is $1.82 — implying the stock looks roughly 38.9% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Defensive 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: medium) — always confirm before acting.

About the company

Fitness Champs Holdings Limited, through its subsidiaries, provides sports education for private sector and public schools in Singapore. It operates through Swim Fees, Sales of Merchandise, and Pickleball segments. The company offers school-based swimming lessons; private swimming lessons and aquatic sports; and merchandises swimming goggles, swim caps, swimsuits, and various flotation devices. It provides services under the Fitness Champs brand name. The company was founded in 2012 and is based in Singapore. Fitness Champs Holdings Limited operates as a subsidiary of Big Treasure Investments Limited.

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Frequently asked questions

Is Fitness Champs Holdings (FCHL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.82 versus a price of $1.31 — about +39% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FCHL?
Our 21-model fair value for Fitness Champs Holdings is $1.82 (as of Jun 24, 2026), built from audited fundamentals. The current price is $1.31.
What is the quality score of FCHL?
Fitness Champs Holdings has a Quality Score of 91/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.