0596 (0596) Fair Value & Analysis
Technology · Market cap HK$2.9B
Fair value as of: Jul 2, 2026
From 15 valuation models · updated today
Share price −27.9% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$2.12 – HK$10.65 · fair‑value band HK$3.62 – HK$6.10 · the HK$2.36 price screens below the HK$4.88 fair value. As of Jul 2, 2026.
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0596 (0596) currently trades at HK$2.36, while our model-based Fair Value estimate is HK$4.88 — implying the stock looks roughly 106.8% undervalued today. We read business quality at 28/100 (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, 0596 generated revenue of HK$7.3B at a net margin of 3.3%. Revenue declined 27.0% year over year. It earns a return on equity of 8.3%. The balance sheet holds a net cash position of HK$1.1B. 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
0596 reported revenue of HK$8.0B in FY2025 versus HK$4.0B in FY2021, a compound +18.9%/yr. Reported net income was HK$258M in FY2025, compounding +48.0%/yr from FY2021.
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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 | $153.42 | $182.10 | +19% |
| Uber Technologies, Inc UBER | $68.61 | $88.21 | +29% |
| 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.