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Gurunavi, Inc (GURNF) Fair Value & Analysis

Communication Services · US · Market cap $52.6M

Price$0.9325
Fair Value$0.5200
Upside-44.2%
Quality95/100
Evidence: Medium Range $0.5000 – $0.5400

Fair value as of: Jun 24, 2026

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Analysis

Gurunavi, Inc (GURNF) currently trades at $0.9325, while our model-based Fair Value estimate is $0.5200 — implying the stock looks roughly 44.2% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

Gurunavi, Inc., together with its subsidiaries, engages in the provision of restaurant information to consumers via personal computers and smartphones in Japan. The company provides restaurant information and online reservation services through the restaurant search site "Rakuten Gurunavi". It also offers internet-based PR and marketing support services; as well as administrative, and employee welfare services. In addition, the company provides food-related research and information services; and management, planning, operation, and administration of restaurants. The company was incorporated in 1989 and is headquartered in Tokyo, Japan.

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Frequently asked questions

Is Gurunavi, Inc (GURNF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.5200 versus a price of $0.9325 — about −44% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GURNF?
Our 21-model fair value for Gurunavi, Inc is $0.5200 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.9325.
What is the quality score of GURNF?
Gurunavi, 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.