Asian Television Network International Limited (AITVF) Fair Value & Analysis
Communication Services · US · Market cap $659K
Fair value as of: Jun 26, 2026
Analysis
Asian Television Network International Limited (AITVF) currently trades at $0.0270, while our model-based Fair Value estimate is $0.0548 — implying the stock looks roughly 103.0% undervalued today. We read business quality at 95/100 (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
Asian Television Network International Limited provides specialty, pay television broadcasting, and advertising services primarily to the South Asian community in Canada. The company offers 50 premium pay specialty television channels in 9 languages. It also provides its flagship ATN-HD general interest service, and Bollywood movie channels, as well as sports, news, music, lifestyle, spirituality, and various regional language channels. In addition, the company operates a South Asian radio service on satellite radio in the United States and Canada. It offers its channels through cable and satellite companies. Asian Television Network International Limited was founded in 1971 and is based in Markham, Canada.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Asian Television Network International Limited (AITVF) undervalued?
What is the fair value of AITVF?
What is the quality score of AITVF?
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.