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American Films, Inc (AMFL) Fair Value & Analysis

Communication Services · US · Market cap $1.1M

Price$0.0180
Fair Value$0.0202
Upside+12.0%
Quality95/100
Evidence: Low Range $0.0184 – $0.0238

Fair value as of: Jun 26, 2026

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Analysis

American Films, Inc (AMFL) currently trades at $0.0180, while our model-based Fair Value estimate is $0.0202 — implying the stock looks roughly 12.0% 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

American Films, Inc. does not have significant operations. The company intends to merge or acquire one or more properties or businesses. Previously, it was engaged in the development and commercialization of the inventions and intellectual property to be generated by the research project being conducted at NYU relating to DNA Nanotechnology. The company was formerly known as Nanoscience Technologies, Inc. and changed its name to American Films, Inc. in March 2012. American Films, Inc. was founded in 1987 and is based in Jersey City, New Jersey.

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Frequently asked questions

Is American Films, Inc (AMFL) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0202 versus a price of $0.0180 — about +12% (undervalued). Model-based estimate, not financial advice.
What is the fair value of AMFL?
Our 21-model fair value for American Films, Inc is $0.0202 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0180.
What is the quality score of AMFL?
American Films, Inc 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.