XLP vs SPY: Complete Comparison
Consumer Staples Select Sector SPDR Fund vs SPDR S&P 500 ETF Trust โ overlap, correlation, performance & risk analysis
Visual Overlap
Price Performance
Historical price comparison over 3M
๐Performance Comparison
โ ๏ธRisk Metrics
Interpretation:
- ๐ Lower volatility = smoother ride
- โก Higher Sharpe/Sortino = better risk-adjusted returns
- โ ๏ธ Smaller max drawdown = less worst-case pain
- ๐ Beta > 1 = more volatile than S&P 500
โ๏ธHead-to-Head Comparison
๐ SPY wins this comparison
Key Factors
โถAdditional Metrics (5)
Bottom line: SPY wins with better expense ratio and number of holdings and 5-year return. Consider SPY for your portfolio, but XLP is still a solid choice if you prefer its specific advantages.
Detailed Overlap Analysis
34 shared holdings representing 4.7% portfolio overlap
Top Shared Holdings
| # | Stock | XLP Weight | SPY Weight | Overlap |
|---|---|---|---|---|
| 1 | WMT WMT | 11.87% | 0.83% | 0.83% |
| 2 | COST COST | 9.26% | 0.65% | 0.65% |
| 3 | PG PG | 7.69% | 0.57% | 0.57% |
| 4 | KO KO | 6.38% | 0.46% | 0.46% |
| 5 | PM PM | 5.50% | 0.43% | 0.43% |
| 6 | PEP PEP | 4.65% | 0.33% | 0.33% |
| 7 | MO MO | 4.02% | 0.17% | 0.17% |
| 8 | MDLZ MDLZ | 3.98% | 0.12% | 0.12% |
| 9 | CL CL | 4.18% | 0.11% | 0.11% |
| 10 | ADM ADM | 1.87% | 0.10% | 0.10% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Top Holdings Only in XLP
Unique to XLP
| Symbol | Name | Weight |
|---|---|---|
| STZ | STZ | 1.37% |
| CHD | CHD | 1.35% |
Top Holdings Only in SPY
Unique to SPY
| Symbol | Name | Weight |
|---|---|---|
| NVDA | NVDA | 7.73% |
| AAPL | AAPL | 6.82% |
| MSFT | MSFT | 6.11% |
| AMZN | AMZN | 3.81% |
| GOOGL | GOOGL | 3.08% |
Price Correlation
How We Calculate Overlap
We use the minimum weight method with normalization to calculate portfolio overlap:
Overlap = ฮฃ min(weightA, weightB) for each shared holdingNormalization: Holdings weights are normalized to sum to 100% before comparison. This ensures accurate overlap calculations even when analyzing partial holdings data (e.g., top 50 positions).
Conservative approach: We consider only the smaller allocation for each shared position, giving you a realistic view of true portfolio overlap.
๐ This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.