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Founder Holdings (FHGDF) Fair Value & Analysis

Technology · US · Market cap $80.7M

Price$0.0700
Fair Value$0.0770
Upside+10.0%
Quality95/100
Evidence: High Range $0.0770 – $0.0770

Fair value as of: Jun 26, 2026

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Analysis

Founder Holdings (FHGDF) currently trades at $0.0700, while our model-based Fair Value estimate is $0.0770 — implying the stock looks roughly 10.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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

Founder Holdings Limited, an investment holding company, engages in the sale of software, hardware and system integration in Mainland China, Hong Kong, and internationally. The company is also involved in the property holding business. Founder Holdings Limited was incorporated in 1999 and is headquartered in Tsuen Wan, Hong Kong.

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Frequently asked questions

Is Founder Holdings (FHGDF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0770 versus a price of $0.0700 — about +10% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FHGDF?
Our 21-model fair value for Founder Holdings is $0.0770 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0700.
What is the quality score of FHGDF?
Founder Holdings 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.