High Wire Networks, Inc (HWNI) Fair Value & Analysis
Technology · US · Market cap $6.6M
Fair value as of: Jun 24, 2026
Analysis
High Wire Networks, Inc (HWNI) currently trades at $0.3500, while our model-based Fair Value estimate is $0.1800 — implying the stock looks roughly 48.6% overvalued today. We read business quality at 92/100 (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
High Wire Networks, Inc. offers outsourced services to the wireless and wireline industry in Puerto Rico, Canada, and the United States. The company operates through three segments: Technology, Secure Voice Corp (SVC), and Corporate. It offers Wi-Fi, networking, SD-WAN, distributed antenna systems, wireless carrier networking, fiber backhaul, and other services; planning, installation, project management, and ongoing support for break/fix services; and managed cybersecurity solutions, managed services, and wholesale communications, as well as technology-enabled professional services. The company provides consulting and professional solutions, including project management, network implementation, network installation, network upgrades, rebuilds, maintenance, and consulting services. In addition, it engages in end-to-end protection for networks, data, endpoints, and users. The company serves software and hardware OEMs, cable broadband MSOs, and telecommunications OEMs. High Wire Netwo…
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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.