AgentSkillsCN

deal-tracker

跟踪制药行业的并购、许可和投资交易。用于竞争情报、市场分析和识别合作机会。 关键词:交易、并购、许可、合作、协作、收购、制药交易

SKILL.md
--- frontmatter
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

code
/deals --oncology --year 2024
/partnership --type licensing --target "EGFR"
/ma-summary --biotech --threshold 100M

What's Included

SectionDescriptionSource
Deal FeedRecent announcementsPress releases, SEC
M&A TrackerAcquisitions and mergersSEC 8-K, 10-K
Licensing DealsIn-licensing, out-licensingCompany announcements
PartnershipsR&D collaborationsPress releases
InvestmentVenture capital, IPOSEC, 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

TypeDescriptionTypical Structure
AcquisitionFull company buyoutCash + stock
Asset PurchaseSpecific asset(s)Upfront + milestones
LicensingRights to develop/sellUpfront + royalties + milestones
Co-developmentJoint developmentCost/revenue sharing
CollaborationR&D partnershipFunded research
OptionRight to acquire laterOption fee + exercise price
Spin-offCompany separationShare distribution

Valuation Ranges

StageTypical UpfrontTotal 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

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

PitfallSolution
Misreported valuesCheck SEC filings
Confusing announced vs closedTrack closing conditions
Ignoring milestonesTotal value often optimistic
Currency confusionNote USD vs local
Double countingVerify 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