Diguang International Development Co (DGNG) Fair Value & Analysis
Technology · US · Market cap $2.3M
Fair value as of: Jun 26, 2026
Analysis
Diguang International Development Co (DGNG) currently trades at $0.0070, while our model-based Fair Value estimate is $0.0086 — implying the stock looks roughly 23.0% undervalued today. We read business quality at 90/100 (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: low) — always confirm before acting.
About the company
Diguang International Development Co., Ltd. engages in the design, production, and distribution of small to medium-sized light emitting diode and cold cathode fluorescent lamp backlights primarily for large and medium sized companies. The company offers backlights for liquid crystal displays in various applications, such as color displays for cell phones, car televisions and navigation systems, digital cameras, televisions, computer displays, camcorders, PDAs, DVDs, CD and MP3/MP4 players, and appliance displays, as well as for indoor and outdoor lighting, and home and office use. It sells its products to customers primarily in Taiwan, Hong Kong, North America, Europe, Japan, Southeast Asia, and China Mainland. The company was founded in 2004 and is headquartered in Shenzhen, the People's Republic of China. Diguang International Development Co., Ltd. is a subsidiary of Sino Olympics Industrial Limited.
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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.