Announcements of new pharmaceutical partnerships or expansion of existing collaborations with upfront payments
Clinical trial data readouts or IND filings for wholly-owned pipeline candidates (particularly oncology programs)
Validation publications or presentations demonstrating AI platform superiority in antibody design metrics (affinity, developability, speed)
Cash runway updates and financing events given $100M annual burn rate against current market cap
moderate - While drug discovery spending by large pharma is relatively recession-resistant, biotech funding cycles are highly sensitive to risk appetite and growth stock valuations. Economic downturns reduce venture capital availability for follow-on financings and compress biotech valuations, creating existential risk for pre-revenue companies. However, pharmaceutical R&D budgets (Absci's customer base) tend to be more stable through cycles as large-cap pharma maintains strategic innovation priorities.
High sensitivity to interest rates through multiple channels: (1) As a pre-revenue growth company, Absci's valuation is based on discounted future cash flows 5-10+ years out, making it extremely sensitive to discount rate changes - rising rates compress NPV of distant milestones; (2) Higher rates reduce risk appetite for speculative biotech, contracting sector multiples; (3) Financing costs increase for future capital raises, though current debt is minimal (0.03 D/E). The 10-year Treasury yield directly impacts comparable biotech valuations and investor willingness to fund cash-burning platforms.
Unproven clinical translation of AI-designed antibodies - no Absci-originated therapeutic has reached late-stage trials, creating platform validation risk that could render the technology commercially unviable
Rapid commoditization of AI drug discovery as large pharma builds internal capabilities and competitors (Recursion, Schrodinger, Relay) scale similar platforms, potentially eroding partnership economics
Regulatory uncertainty around AI-designed biologics and potential FDA requirements for additional validation studies that could negate speed advantages
growth - Attracts highly speculative, venture-style public market investors willing to accept binary outcomes and multi-year timelines for platform validation. The stock appeals to thematic AI/biotech crossover investors betting on computational biology disruption, but requires high risk tolerance given pre-revenue status, cash burn, and lack of clinical proof points. Not suitable for value or income investors given negative margins and no path to near-term profitability.
Trend
+53.9% vs SMA 50 · +58.6% vs SMA 200
Momentum
Volume distribution is neutral or leaning toward distribution. No compelling squeeze setup based on current money flow data.
Based on volume distribution analysis. Direct short interest data (short float %, days to cover) is not available in current data sources.
ANALYST ESTIMATES
Analyst consensus estimates · Actuals replace estimates as reported
| Year | Revenue Est. | Rev Gth | EPS Est. | EPS Gth | Range | Analysts |
|---|---|---|---|---|---|---|
FY2025 | $3.7M $1.6M–$9.3M | — | -$0.83 | — | ±9% | High6 |
FY2026(current) | $7.6M $1.9M–$22.0M | ▲ +106.5% | -$0.75 | — | ±12% | High6 |
FY2027 | $19.9M $1.6M–$57.4M | ▲ +159.8% | -$0.71 | — | ±41% | High7 |
INSTITUTIONAL OWNERSHIP
ABSI News
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| Symbol | Price | Day % | Mkt Cap↓ | P/E | Rev Grw | Margin | ELO |
|---|---|---|---|---|---|---|---|
ABSI◀ | $5.13 | -7.40% | $800M | — | -3824.4% | -411367.9% | 1500 |
| $66.13 | -5.07% | $13.0B | — | +12626.1% | -14525.8% | 1500 | |
| $94.92 | -3.79% | $12.6B | — | +3288.2% | -4239.0% | 1500 | |
| $523.69 | -3.00% | $12.1B | — | +43205.3% | -3008.0% | 1500 | |
| $227.72 | -1.30% | $11.7B | — | +6554.5% | -2868.8% | 1500 | |
| $57.90 | -0.86% | $11.2B | 50.3 | +1459.3% | 147.7% | 1500 | |
| $76.67 | -3.79% | $10.8B | — | +2325815.3% | -19.7% | 1500 | |
| Sector avg | — | -3.60% | — | 50.3 | +341303.5% | -62268.8% | 1500 |