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Kandal M Venture Limited (FMFC) Fair Value & Analysis

Consumer Cyclical · US · Market cap $4.3M

Price$0.2500
Fair Value$0.2100
Upside-16.0%
Quality87/100
Evidence: Medium Range $0.1700 – $0.4700

Fair value as of: Jun 24, 2026

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Analysis

Kandal M Venture Limited (FMFC) currently trades at $0.2500, while our model-based Fair Value estimate is $0.2100 — implying the stock looks roughly 16.0% overvalued today. We read business quality at 87/100 (high quality), in the Consumer Cyclical 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: medium).

About the company

Kandal M Venture Limited, through its subsidiaries, manufactures, trades in, and sells handbags in the United States, Europe, Canada, Japan, and internationally. It offers shoulder bags, crossbody bags, tote bag, backpacks, top-handle handbags, and satchels; and other smaller leather goods, such as wallets. The company was founded in 2017 and is based in Ta Khmau, the Kingdom of Cambodia. Kandal M Venture Limited operates as a subsidiary of DMD Ventures Limited.

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Frequently asked questions

Is Kandal M Venture Limited (FMFC) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.2100 versus a price of $0.2500 — about −16% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FMFC?
Our 21-model fair value for Kandal M Venture Limited is $0.2100 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.2500.
What is the quality score of FMFC?
Kandal M Venture Limited has a Quality Score of 87/100, 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.