1167 (1167) Fair Value & Analysis
Healthcare · Market cap HK$3.7B
Fair value as of: Jul 2, 2026
From 3 valuation models · updated today
Share price −2.4% over the past month.
Price vs Fair Value (12 months)
12‑month range HK$4.12 – HK$11.60 · fair‑value band HK$0.4500 – HK$0.8600 · the HK$4.78 price screens above the HK$0.6900 fair value. As of Jul 2, 2026.
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1167 (1167) currently trades at HK$4.78, while our model-based Fair Value estimate is HK$0.6900 — implying the stock looks roughly 85.6% overvalued today. We read business quality at 43/100 (below-average quality), in the Healthcare 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: low).
Trailing-twelve-month revenue stands at HK$53.5M. It earns a return on equity of -17.2%. The balance sheet holds a net cash position of HK$778M. 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
1167 reported revenue of HK$52.1M in FY2025 versus HK$153M in FY2021, a compound −23.6%/yr. Reported net income was −HK$142M in FY2025.
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6 more Biotechnology stocks, each showing price versus our Fair Value estimate (as of Jul 2, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Vertex Pharmaceuticals Incorporated VRTX | 7,746 MXN | 449.62 MXN | -94% |
| Regeneron Pharmaceuticals, Inc REGN | $601.65 | $577.20 | -4% |
| UCB SA UCB | €251.70 | €180.06 | -28% |
| argenx SE ARGNF | $900.00 | $382.64 | -57% |
| Alnylam Pharmaceuticals, Inc ALNY | $288.18 | $51.70 | -82% |
| Samsung Biologics Co 207940 | 1,000,000 KRW | 724,332 KRW | -28% |
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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.