Daesung Holdings (016710) Fair Value & Analysis
Utilities · KR · Market cap 115B KRW
Fair value as of: Jul 6, 2026
From 23 valuation models · updated today
Fair value updated Jul 6, 2026 — revised from 21,620 KRW to 19,246 KRW (−11.0%) since Jun 24, 2026. Share price −5.7% over the past month.
Price vs Fair Value (12 months)
12‑month range 6,730 KRW – 10,748 KRW · fair‑value band 14,434 KRW – 24,057 KRW · the 6,750 KRW price screens below the 19,246 KRW fair value. As of Jul 6, 2026.
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Daesung Holdings (016710) currently trades at 6,750 KRW, while our model-based Fair Value estimate is 19,246 KRW — implying the stock looks roughly 185.1% undervalued today. We read business quality at 51/100 (solid quality), in the Utilities 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.
Over the trailing twelve months, Daesung Holdings generated revenue of 1.2T KRW at a net margin of 1.4%. Revenue declined 7.1% year over year. It earns a return on equity of 3.5%. Net debt stands at 28.5B KRW. Fundamentals as of Jul 6, 2026
Our scenario range runs from 14,434 KRW (bear case) to 24,057 KRW (bull case); at 6,750 KRW, the current price sits below that range. The share trades about 38% below its 52-week high, currently below its 200-day average. For context, the median of 10 Utilities peers we cover trades at -20% fair-value upside — at 185%, 016710 screens cheaper than that median.
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 6, 2026. TTM = trailing twelve months.
About the company
Daesung Holdings Co., Ltd. engages in the energy, educational content, and information and communication businesses in South Korea. It supplies city gas to household, commercial, and industrial customers, as well as operates hydrogen charging stations; and engages in power generation, heat and electricity supply, landfill gas resource business, as well as provides agency services for city gas customer management, safety management of city gas facilities, construction of city gas supply and facilities, and gas connection construction. The company is also involved in the vehicle fuel retail business; call center outsourcing CRM, ASP, talent dispatch, and education and training services for public and financial, distribution, communications, construction, and other industries; and investment business. In addition, it provides IT integrated management services, IT outsourcing and system integration services, oracle transaction based recovery solutions, RFID-based CNG filling POS …
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Daesung Holdings reported revenue of 1.2T KRW in FY2025 versus 940B KRW in FY2021, a compound +6.8%/yr. Reported net income was 17.2B KRW in FY2025, compounding +0.6%/yr from FY2021.
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Similar stocks
10 more Utilities - Regulated Gas stocks, each showing price versus our Fair Value estimate (as of Jul 6, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Naturgy Energy Group GASNY | $6.51 | $6.59 | +1% |
| Atmos Energy Corporation ATO | $169.59 | $78.59 | -54% |
| Snam S.p.A SRG | €6.19 | €4.95 | -20% |
| Uniper SE UN0 | €45.45 | €33.83 | -26% |
| NiSource Inc NI | $46.61 | $34.64 | -26% |
| The Hong Kong and China Gas Company HOKCY | $0.8537 | $0.4100 | -52% |
| Tokyo Gas Co TKGSF | $39.85 | $65.41 | +64% |
| Osaka Gas Co OSGSY | $69.91 | $33.46 | -52% |
| Italgas S.p.A ITGGF | $12.50 | $10.23 | -18% |
| GAIL (India) Limited GAIL | ₹177.30 | ₹147.58 | -17% |
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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.
Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.