Baosheng Media Group (BAOS) Fair Value & Analysis
Communication Services · US · Market cap $4.4M
Fair value as of: Jun 25, 2026
Analysis
Baosheng Media Group (BAOS) currently trades at $2.79, while our model-based Fair Value estimate is $1.44 — implying the stock looks roughly 48.4% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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: low).
About the company
Baosheng Media Group Holdings Limited, an offshore holding company, operates as an online marketing solution provider in the People's Republic of China. It connects advertisers, online media, and helping advertisers to manage their online marketing activities in various ways, including advising on advertising strategies, budget and choice of advertising channels; procures ad inventory; offers ad optimization services; and administrates and fine-tunes the ad placement process. The company also serves media businesses in various ways, including identifying advertisers to buy their ad inventory; facilitating payment arrangements with advertisers; assisting advertisers in handling ad deployment logistics with media; and engaging in other marketing and promotion activities aimed at educating and inducing advertisers to use online advertising. Its advertising services comprise search engine marketing (SEM) services, such as the deployment of ranked search ads and other display search ads …
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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.