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Trade School Go, Inc (TAPM) Fair Value & Analysis

Consumer Defensive · US · Market cap $673K

Price$0.1502
Fair Value$0.2278
Upside+51.7%
Quality95/100
Evidence: Medium Range $0.1701 – $0.2849

Fair value as of: Jun 26, 2026

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Analysis

Trade School Go, Inc (TAPM) currently trades at $0.1502, while our model-based Fair Value estimate is $0.2278 — implying the stock looks roughly 51.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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

Trade School Go, Inc. develops an AI powered trade school discovery platform. It platform leverages AI technology to provide various information about trade schools, programs, licensing requirements, and career outcomes. The company was formerly known as Tapinator, Inc. and changed its name to Trade School Go, Inc. in February 2026. Trade School Go, Inc. was founded in 2013 and is headquartered in New York, New York.

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Frequently asked questions

Is Trade School Go, Inc (TAPM) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.2278 versus a price of $0.1502 — about +52% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TAPM?
Our 21-model fair value for Trade School Go, Inc is $0.2278 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1502.
What is the quality score of TAPM?
Trade School Go, 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.