2501 (2501) Fair Value & Analysis
Technology · Market cap HK$480M
Fair value as of: Jul 2, 2026
From 24 valuation models · updated today
Share price −5.9% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$0.8200 – HK$1.19 · fair‑value band HK$0.2800 – HK$0.6000 · the HK$0.9600 price screens above the HK$0.5100 fair value. As of Jul 2, 2026.
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2501 (2501) currently trades at HK$0.9600, while our model-based Fair Value estimate is HK$0.5100 — implying the stock looks roughly 46.9% overvalued today. We read business quality at 52/100 (solid 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: high).
Over the trailing twelve months, 2501 generated revenue of HK$403M at a net margin of 1.4%. Revenue grew 49.9% year over year. It earns a return on equity of 1.7%. Net debt stands at HK$154M. 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
2501 reported revenue of HK$403M in FY2025 versus HK$202M in FY2021, a compound +18.9%/yr. Reported net income was HK$5.7M in FY2025, compounding −40.7%/yr from FY2021.
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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 | $252.22 | $147.06 | -42% |
| Accenture plc ACN | $170.50 | $228.49 | +34% |
| Tata Consultancy Services Limited TCS | ₹2,199 | ₹1,863 | -15% |
| Infosys Limited INFY | ₹1,065 | ₹15.23 | -99% |
| HCL Technologies Limited HCLTECH | ₹1,132 | ₹1,230 | +9% |
| Fiserv, Inc FISV | 930.00 MXN | 1,179 MXN | +27% |
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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.