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SKAI worldwide Co (357880) Fair Value & Analysis

Technology · KR · Market cap 153B KRW

Price3,005 KRW
Fair Value636.86 KRW
Upside-78.8%
Quality93/100
Evidence: Low Range 477.64 KRW – 796.07 KRW

Fair value as of: Jun 24, 2026

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Analysis

SKAI worldwide Co (357880) currently trades at 3,005 KRW, while our model-based Fair Value estimate is 636.86 KRW — implying the stock looks roughly 78.8% overvalued today. We read business quality at 93/100 (high quality), in the Technology 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: low).

About the company

SKAI worldwide Co., Ltd. engages in graph database solutions based on graph technology and software business in South Korea. It offers AgensSQL, a software that provides technical support for modification and development; and AgensGraph, an enterprise graph database management system that stores and manages various data. It also provides products including Graph RAG, an AI marketing solution, Gen-AI video production; and Ontovia, a next-generation enterprise AI solution. The company was formerly known as Bitnine Co, Ltd. and changed its name to SKAI worldwide Co., Ltd. in January 2025. SKAI worldwide Co., Ltd. was founded in 2013 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is SKAI worldwide Co (357880) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 636.86 KRW versus a price of 3,005 KRW — about −79% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 357880?
Our 21-model fair value for SKAI worldwide Co is 636.86 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 3,005 KRW.
What is the quality score of 357880?
SKAI worldwide Co has a Quality Score of 93/100, 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.