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American Power Group (APGI) Fair Value & Analysis

Industrials · US · Market cap $10.1M

Price$0.0110
Fair Value$0.0200
Upside+81.8%
Quality95/100
Evidence: Low Range $0.0200 – $0.0300

Fair value as of: Jun 24, 2026

Analysis

American Power Group (APGI) currently trades at $0.0110, while our model-based Fair Value estimate is $0.0200 — implying the stock looks roughly 81.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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 Power Group Corporation designs, manufactures, sells, and installs dual-fuel conversion systems in the United States. Its products are used in the over-the-road fleets, return-to-base fleets, oil and gas, stationary power generation, emergency backup generators, data centers, and distributed power generation. The company was formerly known as GreenMan Technologies, Inc. and changed its name to American Power Group Corporation in August 2012. American Power Group Corporation was founded in 1992 and is based in Algona, Iowa. American Power Group Corporation operates as a subsidiary of Arrow, LLC.

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Frequently asked questions

Is American Power Group (APGI) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.0200 versus a price of $0.0110 — about +82% (undervalued). Model-based estimate, not financial advice.
What is the fair value of APGI?
Our 21-model fair value for American Power Group is $0.0200 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.0110.
What is the quality score of APGI?
American Power 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.