SPY vs XLF Overlap

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

Holdings Overlap
13.67%
Very Low Overlap
Shared Holdings
72 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPY
XLF
13.7%
SPY Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

SPY Return
+8.52%
XLF Return
+6.68%
Winner
SPY
+1.84%
Max Drawdown
SPY: -5.1%
XLF: -5.6%
SPY Volatility (annualized)11.46%
XLF Volatility (annualized)13.17%

๐Ÿ“ˆ Comparison

Metric
SPY
XLF
1 Year Return
+26.5%
+28.5%โœ“
3 Year Return
+10.2%
+10.5%
5 Year Return
+15.8%โœ“
+14.8%
Volatility
18.20%โœ“
21.50%
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
XLF
Volatility
18.20%โœ“
21.50%
Sharpe Ratio
0.82โœ“
0.65
Sortino Ratio
1.15โœ“
0.88
Max Drawdown
-33.90%โœ“
-55.20%
Beta
1.00
1.12

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

14 - 2

๐Ÿ† SPY wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SPY:0.09%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
SPY:503 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
SPY:+15.8%
vs
XLF:+14.8%
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
SPY: 39.1% in top 10โœ“
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
SPY: $450B โœ“โœ“
XLF: $40B
โšก Sharpe Ratio
SPY: 0.82โœ“
XLF: 0.65
๐Ÿ“‰ Volatility
SPY: 18.2%โœ“
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
SPY: -0.0% unique
XLF: 86.3% uniqueโœ“

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

Detailed Overlap Analysis

72 shared holdings representing 13.7% portfolio overlap

Top Shared Holdings

#StockSPY WeightXLF WeightOverlap
1
BRK-B
BRK-B
1.55%11.80%1.55%
2
JPM
JPM
1.51%10.82%1.51%
3
V
V
1.01%7.26%1.01%
4
MA
MA
0.80%5.81%0.80%
5
BAC
BAC
0.64%4.78%0.64%
6
SCHW
SCHW
0.58%2.10%0.58%
7
WFC
WFC
0.50%3.73%0.50%
8
GS
GS
0.46%3.47%0.46%
9
MS
MS
0.37%2.84%0.37%
10
C
C
0.37%2.64%0.37%

Overlap by Sector

Financials
16 stocks ยท 7.64% overlap
Other
56 stocks ยท 6.00% overlap

Showing top 5 sectors by overlap contribution

72
Shared Stocks
13.7%
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 XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
WTWWTW0.41%
SYFSYF0.39%
RJFRJF0.38%

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.

Compare More ETFs