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Airengy Tech Ltd (ITGMF) Fair Value & Analysis

Industrials · US · Market cap $13.1M

Price$0.4750
Fair Value$1.71
Upside+260.0%
Quality94/100
Evidence: Low Range $1.13 – $2.14

Fair value as of: Jun 25, 2026

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Analysis

Airengy Tech Ltd (ITGMF) currently trades at $0.4750, while our model-based Fair Value estimate is $1.71 — implying the stock looks roughly 260.0% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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: low) — always confirm before acting.

About the company

Airengy Tech Ltd, a technology company, offers compression, expansion, and storage solutions for energy storage and energy efficiency applications in Israel. The company offers AirBattery, an energy storage system that is a combination of pumped hydro and compressed air energy storage to enable grid-scale energy storage. The company was formerly known as Augwind Energy Tech Storage Ltd and changed its name to Airengy Tech Ltd in February 2026. The company was incorporated in 2007 and is based in Yakum, Israel.

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Frequently asked questions

Is Airengy Tech Ltd (ITGMF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $1.71 versus a price of $0.4750 — about +260% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ITGMF?
Our 21-model fair value for Airengy Tech Ltd is $1.71 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.4750.
What is the quality score of ITGMF?
Airengy Tech Ltd has a Quality Score of 94/100, 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.