XLP vs XLF: Complete Comparison

Consumer Staples Select Sector SPDR Fund vs Financial Select Sector SPDR Fund — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 36
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

XLP
XLF
0.0%
XLP Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

XLP Return
-4.18%
XLF Return
+6.68%
Winner
XLF
+10.86%
Max Drawdown
XLP: -8.5%
XLF: -5.6%
XLP Volatility (annualized)11.24%
XLF Volatility (annualized)13.17%

📈 Comparison

Metric
XLP
XLF
1 Year Return
+14.5%
+28.5%
3 Year Return
+6.2%
+10.5%
5 Year Return
+10.5%
+14.8%
Volatility
14.20%
21.50%
Expense Ratio
0.10%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
XLP
XLF
Volatility
14.20%
21.50%
Sharpe Ratio
0.68
0.65
Sortino Ratio
0.92
0.88
Max Drawdown
-22.50%
-55.20%
Beta
0.55
1.12

Interpretation:

  • 📊 Lower volatility = smoother ride
  • ⚡ Higher Sharpe/Sortino = better risk-adjusted returns
  • ⚠️ Smaller max drawdown = less worst-case pain
  • 📈 Beta > 1 = more volatile than S&P 500

⚔️ Comparison

4 - 11

🏆 XLF wins this comparison

Key Factors

💰 Expense Ratio
XLP:0.10%
vs
XLF:0.10%
🎯 Number of Holdings
XLP:38 holdings
vs
XLF:68 holdings
📈 5-Year Return
XLP:+10.5%
vs
XLF:+14.8%
Additional Metrics (5)
⚖️ Concentration Risk
XLP: 61.1% in top 10
XLF: 55.7% in top 10
📊 Assets Under Management
XLP: $18B
XLF: $40B
Sharpe Ratio
XLP: 0.68
XLF: 0.65
📉 Volatility
XLP: 14.2%
XLF: 21.5%
🔍 Uniqueness vs SPY
XLP: 95.3% unique
XLF: 86.3% unique

Bottom line: XLF wins with better number of holdings and 5-year return. Both have the same expense ratio, so cost isn't a differentiator. Consider XLF for your portfolio, but XLP is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

0 shared holdings representing 0.0% portfolio overlap

Top Shared Holdings

#StockXLP WeightXLF WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in XLP

Unique to XLP

Scroll horizontally to see all data
SymbolNameWeight
WMTWMT11.87%
COSTCOST9.26%
PGPG7.69%
KOKO6.38%
PMPM5.50%

Top Holdings Only in XLF

Unique to XLF

Scroll horizontally to see all data
SymbolNameWeight
BRK-BBRK-B11.80%
JPMJPM10.82%
VV7.26%
MAMA5.81%
BACBAC4.78%

Price Correlation

How We Calculate Overlap

We use the minimum weight method with normalization to calculate portfolio overlap:

Overlap = Σ min(weightA, weightB) for each shared holding

Normalization: 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.

📊 This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.

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