2392 (2392) Fair Value & Analysis
Technology · Market cap HK$594M
Fair value as of: Jul 2, 2026
From 9 valuation models · updated today
Share price −13.0% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$1.00 – HK$1.92 · fair‑value band HK$1.37 – HK$2.55 · the HK$1.07 price screens below the HK$1.96 fair value. As of Jul 2, 2026.
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2392 (2392) currently trades at HK$1.07, while our model-based Fair Value estimate is HK$1.96 — implying the stock looks roughly 83.2% undervalued today. We read business quality at 53/100 (solid 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: medium) — always confirm before acting.
Over the trailing twelve months, 2392 generated revenue of HK$763M at a net margin of -7.1%. Revenue declined 36.5% year over year. It earns a return on equity of -12.6%. Net debt stands at HK$6.0M. 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
2392 reported revenue of HK$744M in FY2025 versus HK$992M in FY2021, a compound −7.0%/yr. Reported net income was −HK$52.9M 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 | $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.