XLP vs QQQ: Complete Comparison

Consumer Staples Select Sector SPDR Fund vs Invesco QQQ Trust โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
4.32%
Very Low Overlap
Shared Holdings
6 of 36
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

XLP
QQQ
4.3%
XLP Only
Overlap
QQQ Only

Price Performance

Historical price comparison over 3M

XLP Return
-4.18%
QQQ Return
+9.87%
Winner
QQQ
+14.05%
Max Drawdown
XLP: -8.5%
QQQ: -7.9%
XLP Volatility (annualized)11.24%
QQQ Volatility (annualized)15.94%

๐Ÿ“ˆ Comparison

Metric
XLP
QQQ
1 Year Return
+14.5%
+28.2%โœ“
3 Year Return
+6.2%
+12.5%โœ“
5 Year Return
+10.5%
+20.1%โœ“
Volatility
14.20%โœ“
22.50%
Expense Ratio
0.10%โœ“
0.20%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
XLP
QQQ
Volatility
14.20%โœ“
22.50%
Sharpe Ratio
0.68
0.88โœ“
Sortino Ratio
0.92
1.22โœ“
Max Drawdown
-22.50%โœ“
-35.20%
Beta
0.55
1.18

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

7 - 13

๐Ÿ† QQQ wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
XLP:0.10%โœ“
vs
QQQ:0.20%โœ“
๐ŸŽฏ Number of Holdings
XLP:38 holdingsโœ“
vs
QQQ:101 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
XLP:+10.5%โœ“
vs
QQQ:+20.1%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
XLP: 61.1% in top 10
QQQ: 49.6% in top 10โœ“
๐Ÿ“Š Assets Under Management
XLP: $18B
QQQ: $220B โœ“โœ“
โšก Sharpe Ratio
XLP: 0.68
QQQ: 0.88โœ“
๐Ÿ“‰ Volatility
XLP: 14.2%โœ“
QQQ: 22.5%
๐Ÿ” Uniqueness vs SPY
XLP: 95.3% uniqueโœ“
QQQ: 48.3% unique

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

Detailed Overlap Analysis

6 shared holdings representing 4.3% portfolio overlap

Top Shared Holdings

#StockXLP WeightQQQ WeightOverlap
1
COST
COST
9.26%2.09%2.09%
2
PEP
PEP
4.65%1.06%1.06%
3
MNST
MNST
3.52%0.41%0.41%
4
MDLZ
MDLZ
3.98%0.38%0.38%
5
KDP
KDP
2.65%0.21%0.21%
6
KHC
KHC
1.39%0.15%0.15%

Overlap by Sector

Consumer Staples
2 stocks ยท 3.15% overlap
Other
4 stocks ยท 1.15% overlap

Showing top 5 sectors by overlap contribution

6
Shared Stocks
4.3%
Total Overlap
2
Sectors Represented

Top Holdings Only in XLP

Unique to XLP

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
WMTWMT11.87%
PGPG7.69%
KOKO6.38%
PMPM5.50%
CLCL4.18%

Top Holdings Only in QQQ

Unique to QQQ

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA8.99%
AAPLAAPL7.94%
MSFTMSFT7.12%
AMZNAMZN4.87%
TSLATSLA4.21%

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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