The Awareness Group (TAAG) Fair Value & Analysis
Communication Services · US · Market cap $1.4M
Fair value as of: Jun 26, 2026
Analysis
The Awareness Group (TAAG) currently trades at $0.0148, while our model-based Fair Value estimate is $0.0154 — implying the stock looks roughly 4.0% undervalued today. We read business quality at 80/100 (high quality), in the Communication Services 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: low) — always confirm before acting.
About the company
The Awareness Group Inc offers TAG GRID, a platform providing support services that enable solar sales organizations and licensed contractors to more efficiently develop and deploy residential and commercial solar energy projects. It provides Tag Financial Services, which supports sales organizations and EPCS by preparing contracts, structuring financing solutions, performing quality assurance and sales closings, and servicing consumer loans; Tag Capital, manages TAG'S internal fund; Tag Construction, maintains a vetted national network of licensed solar contractors; Tag Distribution, procures solar materials at scale through national manufacturer and distributor relationships; and Tag Dealer & Broker Network, which trains, vets and onboards independent sales representatives and organizations. The Awareness Group Inc was formerly known as Freedom Holdings, Inc. and changed its name to The Awareness Group Inc in October 2025. The company was incorporated in 2005 and is headquartered …
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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.