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Scientific Energy, Inc (SCGY) Fair Value & Analysis

Communication Services · US · Market cap $7.1M

Price$0.0270
Fair Value$0.0224
Upside-17.0%
Quality86/100
Evidence: Medium Range $0.0224 – $0.0251

Fair value as of: Jun 26, 2026

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Analysis

Scientific Energy, Inc (SCGY) currently trades at $0.0270, while our model-based Fair Value estimate is $0.0224 — implying the stock looks roughly 17.0% overvalued today. We read business quality at 86/100 (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

Scientific Energy, Inc., together with its subsidiaries, focuses on e-commerce platform business. It develops website that provides an e-commerce platform, where registered members could exchange goods and services. The company is involved in the provision of logistic services; group dining service platform for lunch and dinner group dining needs for corporate employees; and production and sale of graphite, and flash sales, and in-store services, as well as mobile platform of ordering and delivery services for restaurants and other merchants through Aomi App platform. Scientific Energy, Inc. was incorporated in 2001 and is based in Macau.

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Frequently asked questions

Is Scientific Energy, Inc (SCGY) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0224 versus a price of $0.0270 — about −17% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SCGY?
Our 21-model fair value for Scientific Energy, Inc is $0.0224 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0270.
What is the quality score of SCGY?
Scientific Energy, Inc has a Quality Score of 86/100, 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.