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Mene Inc (MENEF) Fair Value & Analysis

Consumer Cyclical · US · Market cap $38.7M

Price$0.1390
Fair Value$0.1500
Upside+7.9%
Quality95/100
Evidence: High Range $0.1200 – $0.1900

Fair value as of: Jun 26, 2026

Analysis

Mene Inc (MENEF) currently trades at $0.1390, while our model-based Fair Value estimate is $0.1500 — implying the stock looks roughly 7.9% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.

About the company

Mene Inc. engages in the design, manufacture, and marketing of 24 karat gold and platinum jewelry worldwide. It offers chains, bracelets, rings, pendants, charms, earrings, bans, medallions, tableware, and accessories under the Mene brand. The company retails its jewelry products directly to consumer through its mene.com website. Mene Inc. is based in Toronto, Canada.

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Frequently asked questions

Is Mene Inc (MENEF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.1500 versus a price of $0.1390 — about +8% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MENEF?
Our 21-model fair value for Mene Inc is $0.1500 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1390.
What is the quality score of MENEF?
Mene Inc 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.