--- name: deal-tracker description: | Track pharmaceutical M&A, licensing, and investment deals. Use for competitive intelligence, market analysis, and identifying partnership opportunities. Keywords: deals, M&A, licensing, partnership, collaboration, acquisition, pharma deals category: Business Intelligence tags: [deals, manda, licensing, partnership, investment] version: 1.0.0 author: Drug Discovery Team dependencies: - sec-filings - press-releases - deal-databases --- # Deal Tracker Skill Track pharmaceutical industry deals, M&A, and partnerships. ## Quick Start ``` /deals --oncology --year 2024 /partnership --type licensing --target "EGFR" /ma-summary --biotech --threshold 100M ``` ## What's Included | Section | Description | Source | |---------|-------------|--------| | Deal Feed | Recent announcements | Press releases, SEC | | M&A Tracker | Acquisitions and mergers | SEC 8-K, 10-K | | Licensing Deals | In-licensing, out-licensing | Company announcements | | Partnerships | R&D collaborations | Press releases | | Investment | Venture capital, IPO | SEC, exchanges | ## Output Structure ```markdown # Deal Tracker: Oncology Targets (2024) ## Summary | Metric | Count | Total Value | |--------|-------|-------------| | Total Deals | 127 | $45.2B | | M&A | 12 | $28.5B | | Licensing | 89 | $14.3B | | Partnerships | 26 | $2.4B | ## Recent Deals (Last 30 Days) ### M&A | Date | Acquirer | Target | Value | Type | |------|----------|--------|-------|------| | 2024-12-15 | Pfizer | Seagen | $43B | Acquisition | | 2024-12-10 | BMS | Mirati | $4.8B | Acquisition | ### Licensing | Date | Licensee | Licensor | Asset | Upfront | Milestones | |------|----------|---------|-------|---------|------------| | 2024-12-08 | AstraZeneca | Hengrui | KRAS G12D | $100M | $800M | | 2024-12-05 | Merck | Daiichi Sankyo | ADC platform | $300M | $1.5B | ## By Target Class | Target | Deals | Total Value | Avg Upfront | |--------|-------|-------------|-------------| | EGFR | 8 | $1.2B | $85M | | KRAS | 12 | $2.8B | $120M | | HER2 | 6 | $950M | $78M | ## By Deal Type | Type | Count | Total Value | Trend | |------|-------|-------------|-------| | Acquisition | 12 | $28.5B | ↑ | | Asset purchase | 45 | $8.2B | → | | Platform license | 28 | $5.1B | ↑ | | Co-development | 18 | $1.8B | → | | Option agreement | 24 | $2.1B | ↓ | ## Key Observations 1. **M&A resurgence**: 12 biotech acquisitions in H2 2. **ADC momentum**: Antibody-drug conjugates dominate 3. **Early-stage focus**: 60% of deals at preclinical/Phase 1 4. **Oncology dominance**: 70% of deal value in oncology ``` ## Deal Types | Type | Description | Typical Structure | |------|-------------|-------------------| | Acquisition | Full company buyout | Cash + stock | | Asset Purchase | Specific asset(s) | Upfront + milestones | | Licensing | Rights to develop/sell | Upfront + royalties + milestones | | Co-development | Joint development | Cost/revenue sharing | | Collaboration | R&D partnership | Funded research | | Option | Right to acquire later | Option fee + exercise price | | Spin-off | Company separation | Share distribution | ## Valuation Ranges | Stage | Typical Upfront | Total Deal | |-------|-----------------|------------| | Preclinical | $10-50M | $100-500M | | Phase 1 | $30-100M | $200-800M | | Phase 2 | $50-200M | $500M-2B | | Phase 3 | $100-500M | $1B-5B | | Approved | $200M-2B | $2B-10B+ | ## Running Scripts ```bash # Recent deals feed python scripts/deal_tracker.py --feed --days 30 # Filter by target python scripts/deal_tracker.py --target EGFR --include licensing,manda # Deal summary python scripts/deal_tracker.py --summary --year 2024 --oncology # Export to CSV python scripts/deal_tracker.py --export --format csv --output deals.csv ``` ## Requirements ```bash pip install requests beautifulsoup4 pandas ``` ## Reference - [reference/deal-sources.md](reference/deal-sources.md) - Deal data sources - [reference/deal-structures.md](reference/deal-structures.md) - Deal structure reference - [reference/valuation-methods.md](reference/valuation-methods.md) - Valuation methodologies ## Best Practices 1. **Verify from multiple sources**: Cross-check deal values 2. **Track milestones: Monitor deal progression 3. **Understand structure**: Upfront vs milestones vs royalties 4. **Compare benchmarks**: Similar deals for reference 5. **Monitor regulatory**: FTC approval may be required ## Common Pitfalls | Pitfall | Solution | |---------|----------| | Misreported values | Check SEC filings | | Confusing announced vs closed | Track closing conditions | | Ignoring milestones | Total value often optimistic | | Currency confusion | Note USD vs local | | Double counting | Verify unique deals | ## Limitations - **Private deals**: Terms often undisclosed - **Delayed reporting**: SEC filings lag announcements - **Incomplete milestones**: Many undisclosed - **Value estimates**: Some values are estimates - **Geographic bias**: US deals better covered