6959 (6959) Fair Value & Analysis
Technology · Market cap HK$645M
Fair value as of: Jul 2, 2026
From 17 valuation models · updated today
Share price −0.3% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$3.10 – HK$7.89 · fair‑value band HK$2.20 – HK$5.73 · the HK$3.19 price screens below the HK$4.60 fair value. As of Jul 2, 2026.
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6959 (6959) currently trades at HK$3.19, while our model-based Fair Value estimate is HK$4.60 — implying the stock looks roughly 44.3% undervalued today. We read business quality at 39/100 (below-average quality), in the Technology 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, 6959 generated revenue of HK$1.6B at a net margin of 8.7%. Revenue grew 172.6% year over year. It earns a return on equity of 28.1%. The balance sheet holds a net cash position of HK$61.5M. 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
6959 reported revenue of HK$1.6B in FY2026 versus HK$576M in FY2022, a compound +29.6%/yr. Reported net income was HK$142M in FY2026, compounding +14.0%/yr from FY2022.
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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$949.05 | R$674.65 | -29% |
| Salesforce, Inc CRM | $188.75 | $178.06 | -6% |
| Uber Technologies, Inc UBER | $68.61 | $88.21 | +29% |
| 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.