8100 (8100) Fair Value & Analysis
Technology · Market cap HK$111M
Fair value as of: Jul 2, 2026
From 14 valuation models · updated today
Share price +22.3% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$0.1040 – HK$0.4200 · fair‑value band HK$0.1500 – HK$0.1600 · the HK$0.2800 price screens above the HK$0.1600 fair value. As of Jul 2, 2026.
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8100 (8100) currently trades at HK$0.2800, while our model-based Fair Value estimate is HK$0.1600 — implying the stock looks roughly 42.9% overvalued today. We read business quality at 63/100 (solid 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).
Over the trailing twelve months, 8100 generated revenue of HK$89.0M at a net margin of -6.1%. Revenue declined 13.8% year over year. It earns a return on equity of -0.4%. The balance sheet holds a net cash position of HK$58.6M. 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
FY2021 – FY2025 · reported fiscal years
8100 reported revenue of HK$89.0M in FY2025 versus HK$115M in FY2021, a compound −6.1%/yr. Reported net income was −HK$5.4M in FY2025.
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Similar stocks
6 more Software - Application stocks, each showing price versus our Fair Value estimate (as of Jul 2, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| SAP SE SAPP34 | R$769.00 | R$120.02 | -84% |
| Salesforce, Inc CRM | $188.75 | $178.06 | -6% |
| Uber Technologies, Inc UBER | $70.71 | $90.28 | +28% |
| Shopify Inc SHOP | $107.98 | $32.94 | -69% |
| ServiceNow, Inc NOW | $93.01 | $76.44 | -18% |
| Cadence Design Systems, Inc CDNS | $385.13 | $80.41 | -79% |
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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.