Huashi Group (HUAGF) Fair Value & Analysis
Communication Services · US · Market cap $27.0M
Fair value as of: Jun 26, 2026
Analysis
Huashi Group (HUAGF) currently trades at $0.0350, while our model-based Fair Value estimate is $0.0351 — implying the stock looks roughly 0.4% undervalued today. We read business quality at 91/100 (high quality), in the Communication Services 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
Huashi Group Holdings Limited operates as a branding, advertising, and marketing service provider in the People's Republic of China. The company offers branding services, including corporate brand building, products and/or services positioning, and marketing and sales strategies that includes studying and analyzing customer's brand; designing and planning of the brand development strategies; and design of the brand image, as well as formulation of products and/or services marketing and brand promotion plans. It also provides traditional offline media advertising services and online media advertising services through TV, radio, outdoor advertising space, and online media, such as websites, search engines, applications, and social media platforms. In addition, the company offers event execution and production services through organization and implementation of marketing events; and advertisement placement services. It serves brand owners and advertisers, including private and state-ow…
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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.