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Millennium Food Tech Limited (MIFT) Fair Value & Analysis

Financial Services · Il · Market cap 9.7M ILA

Price0.9550 ILA
Fair Value0.6500 ILA
Upside-31.9%
Quality95/100
Evidence: Low Range 0.4300 ILA – 0.8100 ILA

Fair value as of: Jun 26, 2026

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Analysis

Millennium Food Tech Limited (MIFT) currently trades at 0.9550 ILA, while our model-based Fair Value estimate is 0.6500 ILA — implying the stock looks roughly 31.9% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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

Millennium Food Tech Limited Partnership invests in the food technology sector in Israel. It also engages in identifying, developing, and transformative ideas in the food, drinks, and nutrition industries. The company was founded in 2019 and is based in Ra'annana, Israel.

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Frequently asked questions

Is Millennium Food Tech Limited (MIFT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 0.6500 ILA versus a price of 0.9550 ILA — about −32% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MIFT?
Our 21-model fair value for Millennium Food Tech Limited is 0.6500 ILA (as of Jun 26, 2026), built from audited fundamentals. The current price is 0.9550 ILA.
What is the quality score of MIFT?
Millennium Food Tech Limited 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.