WiMi Hologram Cloud Inc (WIMI) Fair Value & Analysis
Communication Services · US · Market cap $27.9M
Fair value as of: Jun 25, 2026
Analysis
WiMi Hologram Cloud Inc (WIMI) currently trades at $1.52, while our model-based Fair Value estimate is $1.33 — implying the stock looks roughly 12.2% overvalued today. We read business quality at 80/100 (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
WiMi Hologram Cloud Inc., together with its subsidiaries, provides augmented reality (AR)-based holographic services and products in Mainland China, Hong Kong, and internationally. It operates through AR Advertising Services, AR Entertainment, and Semiconductor Related Products and Services segments. The company offers holographic AR advertising services through its holographic AR advertising software, which enables users to insert real or animated three-dimensional (3D) objects into video footage; and holographic AR entertainment product consisting of payment middleware software, a game distribution platform, and holographic MR software products. It also engages in the sale of semiconductor products and related accessories; MR software licensing; research, development, and sale of computer chip and intelligent chip products; development of central processing algorithms and cloud computing services; software support services; research, development, and application of intelligent vis…
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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.