TeraGo Inc (TRAGF) Fair Value & Analysis
Communication Services · US · Market cap $37.5M
Fair value as of: Jun 25, 2026
Analysis
TeraGo Inc (TRAGF) currently trades at $0.9595, while our model-based Fair Value estimate is $0.3500 — implying the stock looks roughly 63.5% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
TeraGo Inc., together with its subsidiaries, provides connectivity services for businesses in Canada. It owns and operates a carrier-grade multi-protocol label switching enabled wireline and fixed wireless, fiber-based, and Internet protocol communications network that provide Internet access, private interconnection, and data connectivity services. The company also offers data connectivity services that allow businesses to connect their various sites within a city or across the company's geographic footprint through a private virtual local area network; and a range of diverse Ethernet-based services over a wireless connection to customer locations. In addition, it provides 5G private wireless networks; managed network services comprising proactive monitoring, advanced monitoring and reporting, and network device management; managed security services; and managed software-defined wide area network (SD-WAN) and cyber secure access service edge (SASE) solutions. The company markets it…
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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.