Full investment banking-style valuation and deal analysis of Chevron's acquisition of Hess Corporation — six methodologies, Monte Carlo simulation, LBO, and accretion/dilution modeling, built entirely in Python.
Replicates the analytical framework of a bulge-bracket M&A pitch book — applied to one of the most strategically significant energy deals of 2023. Announced October 2023 · All-stock deal · $171/share offer.
📊 Methodologies · 🔍 Key Findings · 📈 Visualizations · 📄 Reports · 🚀 Quick Start
| Parameter | Detail |
|---|---|
| Deal | Chevron Corporation acquires Hess Corporation |
| Announced | October 2023 |
| Deal Value | $53 billion (all-stock) |
| Offer Price | $171 per share |
| Strategic Rationale | Guyana deepwater reserves (Stabroek Block) + Bakken consolidation |
| Accretion / Dilution | 6.9% dilutive to CVX EPS at deal close |
| Synergy Breakeven | ~$2.6B in annual synergies required |
| Analysis Scope | 49-cell notebook · 8 sections · 15+ IB-grade charts |
Verdict: A long-duration growth bet on Guyana, not a near-term earnings story.
- Chevron’s $171/share offer implies a modest ~10% premium to Hess’s unaffected price — within historical upstream M&A range but well below precedent mega-deal premiums
- Cash-flow methodologies (DCF, LBO) value Hess significantly below the offer price — quantifying the “Guyana premium” embedded for undeveloped offshore reserves in the Stabroek Block
- Market-based methodologies (trading comps, precedent transactions) bracket the deal price; the implied premium range ($168–$183) nearly matches the offer, suggesting the market was already pricing in a takeout
- The deal is 6.9% dilutive to CVX EPS at close, requiring ~$2.6B in annual synergies to break even on an accretion basis — confirming this is a reserve acquisition, not a margin play
Six independent methodologies implemented end-to-end in Python:
| # | Methodology | Key Output |
|---|---|---|
| 1 | Trading Comparable Companies | EV/EBITDA, EV/Production, P/E across E&P peers (COP, DVN, MRO, APA, OVV) |
| 2 | Precedent Transactions | Historical upstream M&A multiples with control premium analysis |
| 3 | DCF with Monte Carlo | 5-year UFCF projection, WACC discounting, 10,000-path probabilistic output |
| 4 | Leveraged Buyout (LBO) | Sponsor return framework implying floor valuation |
| 5 | Accretion / Dilution & Synergy Analysis | Pro forma CVX EPS impact + breakeven synergy threshold |
| 6 | Premium Analysis | Implied premium vs. unaffected price: 1-day, 1-week, 52-week benchmarks |
All six outputs are aggregated into a Football Field chart showing the full valuation range vs. the $171 deal price.
15+ professional-grade charts styled after IB deliverables:
| Chart | What It Reveals |
|---|---|
| Football Field Valuation | Full range across all 6 methods vs. deal price — where the Guyana premium sits |
| DCF Sensitivity Heatmap | WACC vs. terminal growth rate — how sensitive implied price is to macro assumptions |
| Monte Carlo Distribution | 10,000-path probability distribution of DCF outputs under parameter uncertainty |
| UFCF Waterfall Bridge | EBITDA-to-FCF conversion showing capex and working capital drag |
| Tornado Chart | Ranked single-variable sensitivity — which DCF input drives valuation most |
| Trading Comps Scatter | EV/EBITDA vs. EV/Production for peer E&P universe |
| Precedent Transactions | Historical deal multiples with Hess deal highlighted |
| Accretion / Dilution | CVX EPS impact across synergy scenarios — where breakeven lies |
| WTI Oil Price Chart | Crude annotated with deal milestones and macro events |
| Sector Performance | Hess vs. CVX vs. XLE since deal announcement |
Three full-length research documents included in the repository:
| Report | Description |
|---|---|
Chevron_Hess_$53B_Deal_Analysis.pdf |
Full deal analysis — valuation, synergies, strategic rationale |
Chevron_Hess_Mega_Deal_White_Paper.pdf |
Executive white paper — deal thesis and market context |
Chev_Hess.pdf |
Supplementary analysis |
hess-chevron-valuation-analysis/
│
├── 📓 hess_chevron_analysis.ipynb # Main notebook — 49 cells, 8 sections
├── 📁 config/
│ ├── constants.py # Hardcoded financials, deal terms, precedent comps
│ └── fallback_data.py # Cached peer data for offline execution
├── 📁 utils/
│ ├── styling.py # IB-grade chart functions (11 chart types)
│ └── data_fetch.py # yfinance / FRED wrappers with fallback logic
├── 📁 docs/ # Supporting documentation
├── 📄 Chevron_Hess_$53B_Deal_Analysis.pdf
├── 📄 Chevron_Hess_Mega_Deal_White_Paper.pdf
├── 📄 Chev_Hess.pdf
├── requirements.txt
└── .env.example # FRED API key template
| Source | API Key | Provides |
|---|---|---|
| Yahoo Finance (yfinance) | ❌ Not required | Peer trading data, WTI crude, XLE sector ETF |
| FRED | ✅ Free key | IG credit spreads, Henry Hub gas, Fed Funds rate |
| SEC EDGAR (10-K filings) | ❌ Not required | Hess historical financials FY2020–FY2022 |
| Damodaran Online | ❌ Not required | Beta estimates, ERP, cost of capital inputs |
FRED API key is free — get one at fred.stlouisfed.org. The notebook runs fully without it using cached fallback data.
git clone https://github.com/DogInfantry/hess-chevron-valuation-analysis.git
cd hess-chevron-valuation-analysis
pip install -r requirements.txt
cp .env.example .env # Add your FRED API key (optional)
jupyter notebook hess_chevron_analysis.ipynbModeling │ pandas · numpy · scipy
Visualization │ matplotlib · seaborn
Live Data │ yfinance · fredapi
Environment │ python-dotenv
Runtime │ Python 3.8+ · Jupyter Notebook
This analysis is for educational and demonstrative purposes only. It does not constitute investment advice, a solicitation, or a recommendation to buy or sell any security. All data is sourced from public filings and market data providers.
Deal Announced: October 2023 · Deal Value: $53B · Status: ✅ Complete
Built to IB pitch book standards · Python-native · No paid data required