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FingerTango Inc (FGRTF) Fair Value & Analysis

Communication Services · US · Market cap $23.2M

Price$0.0121
Fair Value$0.0121
Upside+0.2%
Quality95/100
Evidence: Low Range $0.0116 – $0.0125

Fair value as of: Jun 26, 2026

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Analysis

FingerTango Inc (FGRTF) currently trades at $0.0121, while our model-based Fair Value estimate is $0.0121 — implying the stock looks roughly 0.2% 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

FingerTango Inc., an investment holding company, develops, publishes, and operates mobile games in the People's Republic of China. The company offers strategy, role-playing, simulation, and casual games. It also engages in technical support and development; internet culture operations; and internet and software technology development and service activities. The company was founded in 2013 and is headquartered in Guangzhou, the People's Republic of China. FingerTango Inc. operates as a subsidiary of LJ Technology Holding Limited.

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Frequently asked questions

Is FingerTango Inc (FGRTF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0121 versus a price of $0.0121 — about +0% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FGRTF?
Our 21-model fair value for FingerTango Inc is $0.0121 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0121.
What is the quality score of FGRTF?
FingerTango 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.