ATA Creativity Global, (AACG) Fair Value & Analysis
Consumer Defensive · US · Market cap $43.2M
Fair value as of: Jun 24, 2026
Analysis
ATA Creativity Global, (AACG) currently trades at $1.05, while our model-based Fair Value estimate is $0.4400 — implying the stock looks roughly 58.1% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
ATA Creativity Global, together with its subsidiaries, provides educational services in China and internationally. The company operates through three segments: Overseas Art Study Services, Other Educational Services, and Other Services. It offers portfolio training services, including portfolio training courses and specializations; academic educational learning, workshop experience, themed educational travel, and other research-based learning services; art-related overseas study counselling services, such as background development, university and program selection, paper writing, interview simulation, and application preparation; and other educational services, as well as online courses. The company serves high school and undergraduate students. It markets its services through partnership with sales channels, internet and mobile advertisements, word of mouth referral, and marketing events and activities. The company was formerly known as ATA Inc. and changed its name to ATA Creativi…
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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.