8206 (8206) Fair Value & Analysis
Consumer Defensive · Market cap HK$72.0M
Fair value as of: Jul 2, 2026
From 22 valuation models · updated today
Price vs Fair Value (12 months)
12‑month range HK$0.0380 – HK$0.0880 · fair‑value band HK$0.0578 – HK$0.0616 · the HK$0.0380 price screens below the HK$0.0578 fair value. As of Jul 2, 2026.
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8206 (8206) currently trades at HK$0.0380, while our model-based Fair Value estimate is HK$0.0578 — implying the stock looks roughly 52.0% undervalued today. We read business quality at 66/100 (solid quality), in the Consumer Defensive 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: high) — always confirm before acting.
Over the trailing twelve months, 8206 generated revenue of HK$36.4M at a net margin of 18.6%. The balance sheet holds a net cash position of HK$89.5M. Fundamentals as of Jul 2, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 2, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
8206 reported revenue of HK$36.4M in FY2026 versus HK$12.0M in FY2022, a compound +32.0%/yr. Reported net income was HK$6.8M in FY2026.
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Similar stocks
6 more Education & Training Services stocks, each showing price versus our Fair Value estimate (as of Jul 2, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| New Oriental Education & Technology Group EDUN | 966.48 MXN | 895.77 MXN | -7% |
| 9901 9901 | HK$36.30 | HK$4.84 | -87% |
| TAL Education Group T1AL34 | R$4.89 | R$0.9200 | -81% |
| Graham Holdings GHC | $1,147 | $1,170 | +2% |
| Laureate Education, Inc LAUR | $33.82 | $33.05 | -2% |
| Covista Inc CVSA | $119.28 | $137.46 | +15% |
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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.