Baidu, Inc (BAIDF) Fair Value & Analysis
Communication Services · US · Market cap $40.1B
Analysis
Baidu, Inc (BAIDF) currently trades at $14.25, while our model-based Fair Value estimate is $8.23 — implying the stock looks roughly 42.2% overvalued today. We read business quality at 87/100 (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: medium).
About the company
Baidu, Inc. provides internet content, value-added telecommunication-based, internet map, and online audio and video services in the People's Republic of China. It operates in two segments, Baidu General Business and iQIYI. The Baidu General Business segment offers products and services for mobile ecosystem, AI cloud, and intelligent driving. This segment operates Baidu App that enables users to access search, feed, content, and other services through mobile devices; and Haokan, which offers a range of various user generated and professionally produced short videos. It also provides a portfolio of knowledge and information products, including Baidu Wiki, which features columns and videos, such as encyclopedia of intangible cultural heritage, digital museum and recorder of history; Baidu Knows, an online community where users can pose questions to other users, such as individuals, professionals, and enterprises; Baidu Experience, an online platform where users share daily knowledge a…
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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.