0080 (0080) Fair Value & Analysis
Financial Services · Market cap HK$653M
Fair value as of: Jul 1, 2026
From 1 valuation models · updated today
Price vs Fair Value (12 months)
12‑month range HK$0.0530 – HK$0.6200 · fair‑value band HK$0.0800 – HK$0.1500 · the HK$0.3000 price screens above the HK$0.1200 fair value. As of Jul 1, 2026.
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0080 (0080) currently trades at HK$0.3000, while our model-based Fair Value estimate is HK$0.1200 — implying the stock looks roughly 60.0% overvalued today. We read business quality at 47/100 (below-average quality), in the Financial Services 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: low).
Trailing-twelve-month revenue stands at HK$22.8K. Revenue declined 49.0% year over year. It earns a return on equity of -19.8%. The balance sheet holds a net cash position of HK$27.5M. Fundamentals as of Jul 1, 2026
Key figures & financial health
Figures from reported company fundamentals (EODHD) · as of Jul 1, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
0080 reported revenue of −HK$5.2M in FY2025 versus −HK$35.9M in FY2021. Reported net income was −HK$31.7M in FY2025.
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6 more Asset Management stocks, each showing price versus our Fair Value estimate (as of Jul 1, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Fondul Proprietatea SA FP | $4.20 | $6.41 | +53% |
| The Schiehallion Fund Limited MNTN | $2.27 | $4.54 | +100% |
| BlackRock, Inc BLK | 17,417 MXN | 10,294 MXN | -41% |
| BH Macro Limited BHMU | $0.0442 | $0.0900 | +104% |
| Blackstone Inc BX | $118.55 | $61.04 | -49% |
| Investor AB IVSBF | $39.99 | $79.98 | +100% |
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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.