XLV vs XLK: Complete Comparison

Health Care Select Sector SPDR Fund vs Technology Select Sector SPDR Fund — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 60
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

XLV
XLK
0.0%
XLV Only
Overlap
XLK Only

Price Performance

Historical price comparison over 3M

XLV Return
-8.75%
XLK Return
+20.44%
Winner
XLK
+29.19%
Max Drawdown
XLV: -10.5%
XLK: -14.5%
XLV Volatility (annualized)14.75%
XLK Volatility (annualized)25.10%

📈 Comparison

Metric
XLV
XLK
1 Year Return
+12.5%
+35.2%
3 Year Return
+6.8%
+15.8%
5 Year Return
+11.2%
+25.5%
Volatility
15.80%
24.20%
Expense Ratio
0.10%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
XLV
XLK
Volatility
15.80%
24.20%
Sharpe Ratio
0.68
1.05
Sortino Ratio
0.95
1.42
Max Drawdown
-25.20%
-38.50%
Beta
0.72
1.22

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 - 10

🏆 XLK wins this comparison

Key Factors

💰 Expense Ratio
XLV:0.10%
vs
XLK:0.10%
🎯 Number of Holdings
XLV:64 holdings
vs
XLK:65 holdings
📈 5-Year Return
XLV:+11.2%
vs
XLK:+25.5%
Additional Metrics (5)
⚖️ Concentration Risk
XLV: 57.5% in top 10
XLK: 62.3% in top 10
📊 Assets Under Management
XLV: $35B
XLK: $55B ✓
Sharpe Ratio
XLV: 0.68
XLK: 1.05
📉 Volatility
XLV: 15.8%
XLK: 24.2%
🔍 Uniqueness vs SPY
XLV: 90.5% unique
XLK: 65.5% unique

Bottom line: XLK wins with better number of holdings and 5-year return. Both have the same expense ratio, so cost isn't a differentiator. Consider XLK for your portfolio, but XLV 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

#StockXLV WeightXLK WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in XLV

Unique to XLV

Scroll horizontally to see all data
SymbolNameWeight
LLYLLY14.33%
JNJJNJ8.84%
ABBVABBV7.23%
UNHUNH5.38%
MRKMRK4.44%

Top Holdings Only in XLK

Unique to XLK

Scroll horizontally to see all data
SymbolNameWeight
NVDANVDA14.84%
AAPLAAPL13.10%
MSFTMSFT11.75%
AVGOAVGO5.36%
PLTRPLTR3.75%

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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