Perfect Corp (PERF) Fair Value & Analysis
Technology · US · Market cap $171M
Fair value as of: Jun 24, 2026
Analysis
Perfect Corp (PERF) currently trades at $1.66, while our model-based Fair Value estimate is $1.51 — implying the stock looks roughly 9.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: high).
About the company
Perfect Corp., an artificial intelligence software as a service company, provides artificial intelligence (AI)- and augmented reality (AR)-powered solutions for beauty, fashion, and skincare industries worldwide. The company offers AI- and AR-makeup; AI skin diagnosis; AI- and AR-hair services; AI- and AR-jewelry (earrings, rings, and bracelets); AI- and AR-accessories, glasses, and watches; AI- and AR-nails; AI avatar; AI selfie; AI text-to-image; and AI headshot and AI studio. It provides AI photo editing tools, such as AI remove background, AI blur background, AI object removal, AI image extender, AI replacement, and AI photo/video enhancement; and AI face attributes and AI product recommendation. In addition, the company offers YouCam platform apps, including YouCam makeup, YouCam perfect, YouCam video, YouCam AI Pro, YouCam enhance, YouCam nails, and YouCam AI Chat. Further, the company provides licensing offline technology software development kit (SDK) and AR/AI offline solut…
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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.