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Photomyne Ltd (PHTM) Fair Value & Analysis

Technology · Il · Market cap 51.0M ILA

Price17.03 ILA
Fair Value4.11 ILA
Upside-75.9%
Quality95/100
Evidence: Low Range 3.08 ILA – 5.14 ILA

Fair value as of: Jun 24, 2026

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Analysis

Photomyne Ltd (PHTM) currently trades at 17.03 ILA, while our model-based Fair Value estimate is 4.11 ILA — implying the stock looks roughly 75.9% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: low).

About the company

Photomyne Ltd operates as a software company in Israel. It develops technologies and applications based on artificial intelligence in the field of nostalgia and family identity, including the digitization of family memory assets. The company was incorporated in 2014 and is based in Bnei Brak, Israel.

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Frequently asked questions

Is Photomyne Ltd (PHTM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 4.11 ILA versus a price of 17.03 ILA — about −76% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PHTM?
Our 21-model fair value for Photomyne Ltd is 4.11 ILA (as of Jun 24, 2026), built from audited fundamentals. The current price is 17.03 ILA.
What is the quality score of PHTM?
Photomyne 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.