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Network Media Group (NETWF) Fair Value & Analysis

Communication Services · US · Market cap $612K

Price$0.0316
Fair Value$0.0346
Upside+9.5%
Quality95/100
Evidence: Medium Range $0.0310 – $0.0380

Fair value as of: Jun 26, 2026

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Analysis

Network Media Group (NETWF) currently trades at $0.0316, while our model-based Fair Value estimate is $0.0346 — implying the stock looks roughly 9.5% 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: medium) — always confirm before acting.

About the company

Network Media Group Inc. engages in the developing, producing, distributing, and exploiting film and television properties in Canada and the United States. The company offers production services to third parties. Network Media Group Inc. was founded in 1999 and is based in Vancouver, Canada.

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Frequently asked questions

Is Network Media Group (NETWF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0346 versus a price of $0.0316 — about +10% (undervalued). Model-based estimate, not financial advice.
What is the fair value of NETWF?
Our 21-model fair value for Network Media Group is $0.0346 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0316.
What is the quality score of NETWF?
Network Media Group has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.