SPY vs VUG: Complete Comparison

SPDR S&P 500 ETF Trust vs Vanguard Growth ETF โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
39.08%
Low Overlap
Shared Holdings
10 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPY
VUG
39.1%
SPY Only
Overlap
VUG Only

Price Performance

Historical price comparison over 3M

SPY Return
+7.48%
VUG Return
+6.86%
Winner
SPY
+0.63%
Max Drawdown
SPY: -8.9%
VUG: -14.6%
SPY Volatility (annualized)13.99%
VUG Volatility (annualized)18.95%

๐Ÿ“ˆ Comparison

Metric
SPY
VUG
1 Year Return
+26.5%
+32.5%โœ“
3 Year Return
+10.2%
+13.8%โœ“
5 Year Return
+15.8%
+19.5%โœ“
Volatility
18.20%โœ“
21.20%
Expense Ratio
0.09%
0.04%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
SPY
VUG
Volatility
18.20%โœ“
21.20%
Sharpe Ratio
0.82
0.90โœ“
Sortino Ratio
1.15
1.25โœ“
Max Drawdown
-33.90%โœ“
-36.80%
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

6 - 8

๐Ÿ† VUG wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SPY:0.09%โœ“
vs
VUG:0.04%โœ“
๐ŸŽฏ Number of Holdings
SPY:503 holdingsโœ“
vs
VUG:285 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
SPY:+15.8%โœ“
vs
VUG:+19.5%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
SPY: 39.1% in top 10โœ“
VUG: 60.6% in top 10
๐Ÿ“Š Assets Under Management
SPY: $450B โœ“
VUG: $130B โœ“
โšก Sharpe Ratio
SPY: 0.82
VUG: 0.90
๐Ÿ“‰ Volatility
SPY: 18.2%
VUG: 21.2%
๐Ÿ” Uniqueness vs SPY
SPY: -0.0% unique
VUG: 60.9% uniqueโœ“

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

Detailed Overlap Analysis

10 shared holdings representing 39.1% portfolio overlap

Top Shared Holdings

#StockSPY WeightVUG WeightOverlap
1
NVDA
NVDA
7.73%9.25%7.73%
2
AAPL
AAPL
6.82%12.85%6.82%
3
MSFT
MSFT
6.11%11.85%6.11%
4
AMZN
AMZN
3.81%6.85%3.81%
5
GOOGL
GOOGL
3.08%3.85%3.08%
6
AVGO
AVGO
2.79%2.65%2.65%
7
GOOG
GOOG
2.47%3.25%2.47%
8
META
META
2.45%4.65%2.45%
9
TSLA
TSLA
2.30%2.95%2.30%
10
LLY
LLY
1.44%2.45%1.44%

Overlap by Sector

Technology
7 stocks ยท 31.31% overlap
Consumer Discretionary
2 stocks ยท 6.11% overlap
Healthcare
1 stocks ยท 1.44% overlap

Showing top 5 sectors by overlap contribution

10
Shared Stocks
39.1%
Total Overlap
3
Sectors Represented

Top Holdings Only in SPY

Unique to SPY

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
BRK-BBRK-B1.55%
JPMJPM1.51%
VV1.01%
XOMXOM0.85%
JNJJNJ0.84%

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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