2280 (2280) Fair Value & Analysis
Technology · Market cap HK$270M
Fair value as of: Jul 2, 2026
From 3 valuation models · updated today
Price vs Fair Value (12 months)
12‑month range HK$0.1390 – HK$0.3250 · fair‑value band HK$0.3200 – HK$0.7000 · the HK$0.2060 price screens below the HK$0.5400 fair value. As of Jul 2, 2026.
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2280 (2280) currently trades at HK$0.2060, while our model-based Fair Value estimate is HK$0.5400 — implying the stock looks roughly 162.1% undervalued today. We read business quality at 50/100 (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: low) — always confirm before acting.
Over the trailing twelve months, 2280 generated revenue of HK$11.1B at a net margin of -2.3%. Revenue grew 1.8% year over year. It earns a return on equity of -30.4%. Net debt stands at HK$174M. 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
FY2020 – FY2024 · reported fiscal years
2280 reported revenue of HK$11.0B in FY2024 versus HK$14.5B in FY2020, a compound −6.8%/yr. Reported net income was −HK$289M in FY2024.
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Similar stocks
6 more Information Technology Services stocks, each showing price versus our Fair Value estimate (as of Jul 2, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| International Business Machines Corporation IBM | $301.77 | $153.91 | -49% |
| Accenture plc ACN | $124.83 | $250.14 | +100% |
| Tata Consultancy Services Limited TCS | ₹2,154 | ₹2,580 | +20% |
| Infosys Limited INFY | ₹1,144 | ₹1,305 | +14% |
| HCL Technologies Limited HCLTECH | ₹1,131 | ₹2,568 | +127% |
| Fiserv, Inc FISV | 930.00 MXN | 1,302 MXN | +40% |
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Frequently asked questions
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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.