0418 (0418) Fair Value & Analysis
Technology · Market cap HK$773M
Fair value as of: Jul 1, 2026
From 21 valuation models · updated today
Price vs Fair Value (12 months)
12‑month range HK$0.6200 – HK$1.15 · fair‑value band HK$0.3300 – HK$0.5500 · the HK$0.6700 price screens above the HK$0.4400 fair value. As of Jul 1, 2026.
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0418 (0418) currently trades at HK$0.6700, while our model-based Fair Value estimate is HK$0.4400 — implying the stock looks roughly 34.3% overvalued today. We read business quality at 54/100 (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, 0418 generated revenue of HK$907M at a net margin of 3.3%. Revenue grew 4.3% year over year. It earns a return on equity of 2.7%. The balance sheet holds a net cash position of HK$244M. Fundamentals as of Jul 1, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 1, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
0418 reported revenue of HK$907M in FY2025 versus HK$1.1B in FY2021, a compound −4.1%/yr. Reported net income was HK$29.8M in FY2025, compounding −9.0%/yr from FY2021.
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6 more Software - Application stocks, each showing price versus our Fair Value estimate (as of Jul 1, 2026).
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| SAP SE SAPP34 | R$902.10 | R$674.56 | -25% |
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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.