FatPipe, Inc (FATN) Fair Value & Analysis
Technology · US · Market cap $74.2M
Fair value as of: Jun 24, 2026
Analysis
FatPipe, Inc (FATN) currently trades at $5.46, while our model-based Fair Value estimate is $4.57 — implying the stock looks roughly 16.2% overvalued today. We read business quality at 97/100 (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
FatPipe, Inc. develops application-aware, secure software-defined wide area network, secure access service edge, and network monitoring service (NMS) software solutions in the United States, India, and internationally. The company offers SD-WAN, a network architecture solution that allows enterprises to utilize software and virtualization technologies to enhance the performance, security, and manageability of their WANs that connect offices, data centers, cloud applications, and cloud storage; SASE that provides virtual network functions, which combine networking and network security services into a single cloud-delivered solution; and NMS, a EnterpriseView reporting system for network monitoring that provides a platform to monitor an end-user's WAN and the performance of FatPipe devices under management. It also provides technical support services, professional, technology development, cyber security, and training services. In addition, the company offers its solutions to enterpris…
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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.