SPLG vs IWM: Complete Comparison

SPDR Portfolio S&P 500 ETF vs iShares Russell 2000 ETF — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPLG
IWM
0.0%
SPLG Only
Overlap
IWM Only

Price Performance

Historical price comparison over 3M

SPLG Return
+8.37%
IWM Return
+13.78%
Winner
IWM
+5.42%
Max Drawdown
SPLG: -8.9%
IWM: -11.0%
SPLG Volatility (annualized)13.83%
IWM Volatility (annualized)20.07%

📈 Comparison

Metric
SPLG
IWM
1 Year Return
N/A
+18.5%
3 Year Return
N/A
+4.2%
5 Year Return
N/A
+10.5%
Volatility
undefined%
24.80%
Expense Ratio
0.50%
0.19%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚔️ Comparison

0 - 14

🏆 IWM wins this comparison

Key Factors

💰 Expense Ratio
SPLG:0.50%
vs
IWM:0.19%
🎯 Number of Holdings
SPLG:10 holdings
vs
IWM:1,983 holdings
Additional Metrics (3)
⚖️ Concentration Risk
SPLG: 34.8% in top 10
IWM: 5.3% in top 10
📊 Assets Under Management
SPLG: $5B
IWM: $60B ✓
🔍 Uniqueness vs SPY
SPLG: 62.4% unique
IWM: 100.0% unique

Bottom line: IWM wins with better expense ratio and number of holdings. Consider IWM for your portfolio, but SPLG 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

#StockSPLG WeightIWM WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in SPLG

Unique to SPLG

Scroll horizontally to see all data
SymbolNameWeight
AAPLApple Inc7.10%
MSFTMicrosoft Corp6.08%
NVDANVIDIA Corp5.92%
AMZNAmazon.com Inc3.85%
METAMeta Platforms Inc2.72%

Top Holdings Only in IWM

Unique to IWM

Scroll horizontally to see all data
SymbolNameWeight
CRDOCREDO TECHNOLOGY GROUP HOLDING LTD0.86%
BEBLOOM ENERGY CLASS A CORP0.80%
FNFABRINET0.62%
IONQIONQ INC0.51%
NXTNEXTPOWER INC CLASS A0.44%

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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