8320 (8320) Fair Value & Analysis
Industrials · Market cap HK$66.7M
Fair value as of: Jul 3, 2026
From 22 valuation models · updated today
Share price −3.2% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$0.0720 – HK$0.1180 · fair‑value band HK$0.0264 – HK$0.0446 · the HK$0.0910 price screens above the HK$0.0355 fair value. As of Jul 3, 2026.
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8320 (8320) currently trades at HK$0.0910, while our model-based Fair Value estimate is HK$0.0355 — implying the stock looks roughly 61.0% overvalued today. We read business quality at 52/100 (solid quality), in the Industrials 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, 8320 generated revenue of HK$49.7M at a net margin of 2.2%. Revenue declined 13.8% year over year. It earns a return on equity of 1.0%. Net debt stands at HK$18.0M. Fundamentals as of Jul 3, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 3, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
8320 reported revenue of HK$49.7M in FY2026 versus HK$43.1M in FY2022, a compound +3.6%/yr. Reported net income was HK$1.1M in FY2026.
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6 more Waste Management stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
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| Waste Management, Inc WM | $224.28 | $138.26 | -38% |
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| Veolia Environnement SA VEOEF | $41.05 | $35.75 | -13% |
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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.