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Fire & Gas Detection Technologies Ltd (FGAS) Fair Value & Analysis

Energy · Il · Market cap 239M ILA

Price9.53 ILA
Fair Value2.32 ILA
Upside-75.7%
Quality89/100
Evidence: Low Range 1.74 ILA – 2.90 ILA

Fair value as of: Jun 24, 2026

Analysis

Fire & Gas Detection Technologies Ltd (FGAS) currently trades at 9.53 ILA, while our model-based Fair Value estimate is 2.32 ILA — implying the stock looks roughly 75.7% overvalued today. We read business quality at 89/100 (high quality), in the Energy 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

Fire & Gas Detection Technologies Ltd, together with its subsidiary, engages in the development, production, and marketing of optical fire and gas detectors in the United States, Europe, Australia, Asia, and internationally. Its products are used in industries that produce, manufacture, and store hazardous, flammable, and explosive materials, including fuel, gas, and petrochemical industries, as well as other high-risk fire sites. The company was incorporated in 2017 and is based in Sderot, Israel.

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Frequently asked questions

Is Fire & Gas Detection Technologies Ltd (FGAS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 2.32 ILA versus a price of 9.53 ILA — about −76% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FGAS?
Our 21-model fair value for Fire & Gas Detection Technologies Ltd is 2.32 ILA (as of Jun 24, 2026), built from audited fundamentals. The current price is 9.53 ILA.
What is the quality score of FGAS?
Fire & Gas Detection Technologies Ltd has a Quality Score of 89/100, 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.