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Dilli Illustrate Inc (131180) Fair Value & Analysis

Technology · KR · Market cap 23.2B KRW

Price3,920 KRW
Fair Value1,071 KRW
Upside-72.7%
Quality95/100
Evidence: Medium Range 802.95 KRW – 1,288 KRW

Fair value as of: Jun 24, 2026

Analysis

Dilli Illustrate Inc (131180) currently trades at 3,920 KRW, while our model-based Fair Value estimate is 1,071 KRW — implying the stock looks roughly 72.7% overvalued today. We read business quality at 95/100 (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: medium).

About the company

Dilli Illustrate Inc. manufactures and sells printers in South Korea and internationally. It offers UV curing printers, rigid and flexible inks, and digital signage products. The company was founded in 1975 and is headquartered in Dongducheon-Si, South Korea.

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Frequently asked questions

Is Dilli Illustrate Inc (131180) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1,071 KRW versus a price of 3,920 KRW — about −73% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 131180?
Our 21-model fair value for Dilli Illustrate Inc is 1,071 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 3,920 KRW.
What is the quality score of 131180?
Dilli Illustrate 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.