SPY vs XLE Overlap

Comparing SPDR S&P 500 ETF Trust and Energy Select Sector SPDR Fund

Holdings Overlap
2.82%
Very Low Overlap
Shared Holdings
20 of 22
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPY
XLE
2.8%
SPY Only
Overlap
XLE Only

Price Performance

Historical price comparison over 3M

SPY Return
+8.52%
XLE Return
+6.10%
Winner
SPY
+2.43%
Max Drawdown
SPY: -5.1%
XLE: -7.4%
SPY Volatility (annualized)11.46%
XLE Volatility (annualized)17.69%

๐Ÿ“ˆ Comparison

Metric
SPY
XLE
1 Year Return
+26.5%โœ“
+8.2%
3 Year Return
+10.2%
+18.5%โœ“
5 Year Return
+15.8%โœ“
+12.8%
Volatility
18.20%โœ“
28.50%
Expense Ratio
0.09%
0.10%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
SPY
XLE
Volatility
18.20%โœ“
28.50%
Sharpe Ratio
0.82โœ“
0.42
Sortino Ratio
1.15โœ“
0.58
Max Drawdown
-33.90%โœ“
-62.50%
Beta
1.00
1.35

Interpretation:

  • ๐Ÿ“Š Lower volatility = smoother ride
  • โšก Higher Sharpe/Sortino = better risk-adjusted returns
  • โš ๏ธ Smaller max drawdown = less worst-case pain
  • ๐Ÿ“ˆ Beta > 1 = more volatile than S&P 500

โš”๏ธ Comparison

17 - 2

๐Ÿ† SPY wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SPY:0.09%โœ“
vs
XLE:0.10%โœ“
๐ŸŽฏ Number of Holdings
SPY:503 holdingsโœ“
vs
XLE:21 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
SPY:+15.8%โœ“
vs
XLE:+12.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
SPY: 39.1% in top 10โœ“
XLE: 74.8% in top 10
๐Ÿ“Š Assets Under Management
SPY: $450B โœ“โœ“
XLE: $32B
โšก Sharpe Ratio
SPY: 0.82โœ“
XLE: 0.42
๐Ÿ“‰ Volatility
SPY: 18.2%โœ“
XLE: 28.5%
๐Ÿ” Uniqueness vs SPY
SPY: -0.0% unique
XLE: 97.2% uniqueโœ“

Bottom line: SPY wins with better expense ratio and number of holdings and 5-year return. Consider SPY for your portfolio, but XLE is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

20 shared holdings representing 2.8% portfolio overlap

Top Shared Holdings

#StockSPY WeightXLE WeightOverlap
1
XOM
XOM
0.85%23.35%0.85%
2
CVX
CVX
0.48%16.91%0.48%
3
EOG
EOG
0.20%3.95%0.20%
4
COP
COP
0.19%6.90%0.19%
5
WMB
WMB
0.12%4.55%0.12%
6
SLB
SLB
0.10%3.92%0.10%
7
PSX
PSX
0.09%3.88%0.09%
8
KMI
KMI
0.09%3.66%0.09%
9
VLO
VLO
0.08%3.74%0.08%
10
MPC
MPC
0.08%3.98%0.08%

Overlap by Sector

Energy
8 stocks ยท 2.07% overlap
Other
12 stocks ยท 0.74% overlap

Showing top 5 sectors by overlap contribution

20
Shared Stocks
2.8%
Total Overlap
2
Sectors Represented

Top Holdings Only in SPY

Unique to SPY

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA7.73%
AAPLAAPL6.82%
MSFTMSFT6.11%
AMZNAMZN3.81%
GOOGLGOOGL3.08%

Top Holdings Only in XLE

Unique to XLE

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
OXYOXY2.05%
CTRACTRA1.41%

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 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.

๐Ÿ“Š 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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