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HS Ad Inc (035000) Fair Value & Analysis

Communication Services · KR · Market cap 121B KRW

Price6,760 KRW
Fair Value16,630 KRW
Upside+146.0%
Quality95/100
Evidence: Medium Range 11,353 KRW – 21,112 KRW

Fair value as of: Jun 25, 2026

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Analysis

HS Ad Inc (035000) currently trades at 6,760 KRW, while our model-based Fair Value estimate is 16,630 KRW — implying the stock looks roughly 146.0% 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: medium) — always confirm before acting.

About the company

HS Ad Inc., together with its subsidiaries, operates as an advertising and marketing communications company in Korea and internationally. The company was formerly known as GIIR Inc. and changed its name to HS Ad Inc. in July 2023. The company was founded in 1962 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is HS Ad Inc (035000) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 16,630 KRW versus a price of 6,760 KRW — about +146% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 035000?
Our 21-model fair value for HS Ad Inc is 16,630 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 6,760 KRW.
What is the quality score of 035000?
HS Ad 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.