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Holmes Place International Ltd (HLMS) Fair Value & Analysis

Consumer Cyclical · Il · Market cap 666M ILA

Price6.10 ILA
Fair Value5.96 ILA
Upside-2.2%
Quality95/100
Evidence: High Range 4.47 ILA – 8.65 ILA

Fair value as of: Jun 24, 2026

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Analysis

Holmes Place International Ltd (HLMS) currently trades at 6.10 ILA, while our model-based Fair Value estimate is 5.96 ILA — implying the stock looks roughly 2.2% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Holmes Place International Ltd manages and operates health and fitness clubs under the Holmes Place brands. The company also operates wellness, spa, and nutritionists related services. The company was founded in 1979 and is based in Or Akiva, Israel.

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Frequently asked questions

Is Holmes Place International Ltd (HLMS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 5.96 ILA versus a price of 6.10 ILA — about −2% (overvalued). Model-based estimate, not financial advice.
What is the fair value of HLMS?
Our 21-model fair value for Holmes Place International Ltd is 5.96 ILA (as of Jun 24, 2026), built from audited fundamentals. The current price is 6.10 ILA.
What is the quality score of HLMS?
Holmes Place International Ltd has a Quality Score of 95/100, 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.