301300 (301300) Fair Value & Analysis
Technology · Market cap 22.3B KRW
Fair value as of: Jun 24, 2026
From 2 valuation models · updated 8 days ago
Share price −13.3% over the past month.
Price vs Fair Value (12 months)
12‑month range 818.79 KRW – 5,766 KRW · fair‑value band 4,421 KRW – 7,368 KRW · the 1,270 KRW price screens below the 5,895 KRW fair value. As of Jun 24, 2026.
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301300 (301300) currently trades at 1,270 KRW, while our model-based Fair Value estimate is 5,895 KRW — implying the stock looks roughly 364.1% undervalued today. We read business quality at 26/100 (below-average 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: low) — always confirm before acting.
Over the trailing twelve months, 301300 generated revenue of 19.0B KRW at a net margin of -94.9%. Revenue declined 27.1% year over year. It earns a return on equity of -35.6%. Net debt stands at 8.3B KRW. Fundamentals as of Jun 24, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jun 24, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
301300 reported revenue of 19.0B KRW in FY2025 versus 44.6B KRW in FY2021, a compound −19.2%/yr. Reported net income was −18.0B KRW in FY2025.
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Similar stocks
6 more Software - Application stocks, each showing price versus our Fair Value estimate (as of Jun 24, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| SAP SE SAPP34 | R$902.10 | R$674.56 | -25% |
| Salesforce, Inc CRM | $170.92 | $178.06 | +4% |
| Uber Technologies, Inc UBER | $71.43 | $103.49 | +45% |
| Shopify Inc SHOP | $109.54 | $30.42 | -72% |
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| Cadence Design Systems, Inc CDNS | $389.04 | $80.41 | -79% |
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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.