Piesat Information Technology Co (688066) Fair Value & Analysis
Technology · CN · Market cap 3.3B CNY
Analysis
Piesat Information Technology Co (688066) currently trades at ¥12.02, while our model-based Fair Value estimate is ¥1.56 — implying the stock looks roughly 87.0% overvalued today. We read business quality at 80/100 (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: low).
About the company
Piesat Information Technology Co., Ltd. provides satellite internet services in China. The company provides pixel information expert (PIE), its flagship software for remote sensing image and data processing; PIE-Ortho software for surveying production using remote sensing images; PIE-SAR, a SAR image processing software; PIE-Hyp, a hyperspectral image processing software; PIE-UAV software for UAV data processing; PIE-SIAS scale-set image analysis software; and PIE-AI intelligent interpretation software for remote sensing images. It also offers PIE-Map, a 2D&3D visualization system for large-scale scene; PIE-Engine remote sensing computing cloud service platform based on remote sensing technologies and cloud computing infrastructure; and PIE-SDK secondary development kit which provides guided secondary development function to quickly build comprehensive solutions, as well as drones. In addition, the company provides solutions for the oil and gas, power, eco-environment, water conserv…
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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.