AVE (AVE) Fair Value & Analysis
Healthcare · Market cap A$49.8M
Fair value as of: Jun 26, 2026
From 8 valuation models · updated 6 days ago
Fair value updated Jun 26, 2026 — revised from A$0.0100 to A$0.0173 (+72.9%) since Jun 24, 2026. Share price +75.0% over the past month.
Price vs Fair Value (12 months)
12‑month range A$0.0032 – A$0.0217 · the A$0.0190 price screens above the A$0.0173 fair value. As of Jun 26, 2026.
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AVE (AVE) currently trades at A$0.0190, while our model-based Fair Value estimate is A$0.0173 — implying the stock looks roughly 9.0% overvalued today. We read business quality at 55/100 (solid 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: medium).
Trailing-twelve-month revenue stands at A$1.2M. Revenue declined 17.4% year over year. The balance sheet holds a net cash position of A$4.6M. Fundamentals as of Jun 26, 2026
Key figures & financial health
Figures from reported company fundamentals (EODHD) · as of Jun 26, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
AVE reported revenue of A$1.2M in FY2025 versus A$794K in FY2021, a compound +11.8%/yr. Reported net income was −A$4.4M in FY2025.
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Similar stocks
6 more Biotechnology stocks, each showing price versus our Fair Value estimate (as of Jun 26, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Vertex Pharmaceuticals Incorporated VRTX | 7,746 MXN | 5,617 MXN | -27% |
| Regeneron Pharmaceuticals, Inc REGN | $601.65 | $577.20 | -4% |
| UCB SA UCB | €251.70 | €180.06 | -28% |
| argenx SE ARGNF | $900.00 | $390.80 | -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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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.