Perpetual Industries Inc (PRPI) Fair Value & Analysis
Industrials · US · Market cap $805K
Fair value as of: Jun 26, 2026
Analysis
Perpetual Industries Inc (PRPI) currently trades at $0.0116, while our model-based Fair Value estimate is $0.0109 — implying the stock looks roughly 5.7% overvalued today. We read business quality at 92/100 (high quality), in the Industrials 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
Perpetual Industries Inc. engages in the research, development, and commercialization of energy efficient products. The company operates through Green Energy Efficient Technology/ XYO Mechanical Balancer Products, The Collector Community and Software Applications for the Blockchain, and Digital Asset Mining (Bitcoin) segments. It also engages in the provision of AutoGrafic, a software-as-a-service and social application that utilizes cutting-edge technology to host a myriad of capabilities for automotive promotion and preservation; and the provision of XYO mechanical balancing technology covers a wide range of sectors, including automobiles, white goods, HVAC, electric motors, generators, centrifuges, turbines, and aircraft applications. In addition, the company engages in blockchain development, green energy power solutions, and cryptocurrency mining. Further, it operates a WindSilo vertical axis wind turbine, as well as acquires and sells classic vintage collector motorcars at auc…
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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.