Novra Technologies Inc (NVI) Fair Value & Analysis
Technology · CA · Market cap C$5.5M
Fair value as of: Jun 26, 2026
Analysis
Novra Technologies Inc (NVI) currently trades at C$0.1600, while our model-based Fair Value estimate is C$0.3900 — implying the stock looks roughly 143.8% undervalued today. We read business quality at 90/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Novra Technologies Inc., together with its subsidiaries, provides technology for distribution of broadband data via satellite and IP networks with a specialization in broadcast media in Canada, North America, Central America, South America, Europe, the Middle East, Africa, East Asia, South Asia, Southeast Asia, and Oceania. The company offers video distribution products and systems for the provision of end-to-end solutions to traditional and non-traditional video networks; infrastructure solutions for broadcast radio networks, including uplink and receive site equipment, as well as network management, encryption, and targeted regionalization/ad insertion options; and data distribution for hardware infrastructure, as well as content distribution network software solution; and turnkey infrastructure solutions for broadcast radio networks small, medium, and large. It also provides digital cinema network infrastructure and services; appliances for cinemas; decoders for live events; alte…
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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.