KSIGN Co (192250) Fair Value & Analysis
Technology · KR · Market cap 56.0B KRW
Fair value as of: Jun 24, 2026
Analysis
KSIGN Co (192250) currently trades at 7,260 KRW, while our model-based Fair Value estimate is 7,334 KRW — implying the stock looks roughly 1.0% undervalued today. We read business quality at 80/100 (high quality), in the Technology 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
KSIGN Co.,Ltd. develops and supplies software products primarily in South Korea. The company offers KSignSecureDB, an encryption solution to securely store and transmit personal information; KSignSecureDB for SDE, which provides support for API approach and plug-in method handling encryption and decryption functions; KSignSecureDB for SPIN, a column-level encryption using a PIN method that ensures no change in data types; KSignSecureDB for Kernel to encryp the data file of the DBMS; KSignSecureDB for UDE that offers encryption capabilities for unstructured data, including videos, various logs, docker images, VMWare images, assorted documents, and various images; and KSignKMS, which safeguards encryption keys by physically storing them separately. It also provides KSignPKI, a certification system designed to establish a secure authentication framework; KSignCASE that establishes secure sessions in various communication environments; Trust Thing, which protects individual privacy from…
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Frequently asked questions
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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.