6657 (6657) Fair Value & Analysis
Technology · Market cap HK$3.2B
Fair value as of: Jul 2, 2026
From 2 valuation models · updated today
Share price +21.7% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$11.03 – HK$42.45 · fair‑value band HK$2.11 – HK$2.36 · the HK$14.00 price screens above the HK$2.20 fair value. As of Jul 2, 2026.
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6657 (6657) currently trades at HK$14.00, while our model-based Fair Value estimate is HK$2.20 — implying the stock looks roughly 84.3% overvalued today. We read business quality at 42/100 (below-average 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: low).
Over the trailing twelve months, 6657 generated revenue of HK$729M at a net margin of -1.3%. Revenue grew 0.9% year over year. It earns a return on equity of -1.1%. The balance sheet holds a net cash position of HK$376M. 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
6657 reported revenue of HK$729M in FY2025 versus HK$454M in FY2021, a compound +12.6%/yr. Reported net income was −HK$9.6M 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$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% |
| ServiceNow, Inc NOW | $127.65 | $35.40 | -72% |
| Cadence Design Systems, Inc CDNS | $389.04 | $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.