Total Telcom Inc (TTLTF) Fair Value & Analysis
Technology · US · Market cap $9.5M
Fair value as of: Jun 25, 2026
Analysis
Total Telcom Inc (TTLTF) currently trades at $0.3600, while our model-based Fair Value estimate is $0.1800 — implying the stock looks roughly 50.0% overvalued today. We read business quality at 95/100 (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
Total Telcom Inc., through its subsidiary, ROM Communications Inc., develops and provides remote asset monitoring and tracking products and services in the United States and Canada. The company's solutions enable customers and clients to remotely monitor, track, control, and communicate their fixed and mobile assets. It also offers Water-TraX, a self-contained certified satellite device for remote satellite water monitoring; ROM Controllers, which is used in trucking, forestry, industrial, construction, and RV markets; SATrv, a satellite-based telematics system for the recreational vehicle marketplace; RacingTraX, a purpose-built off-road racing device and management system; and DataTraX that is used in forestry applications managing resources and inventory. In addition, the company provides ROMTraX, a satellite device; TextAnywhere, a stand-alone satellite messaging device; StormWatch, a global satellite RTU used in environmental applications for water, air and soil monitoring, rem…
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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.