SCHZ vs SPY: Complete Comparison

Schwab U.S. Aggregate Bond ETF vs SPDR S&P 500 ETF Trust — 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

SCHZ
SPY
0.0%
SCHZ Only
Overlap
SPY Only

Price Performance

Historical price comparison over 3M

SCHZ Return
-0.74%
SPY Return
+7.48%
Winner
SPY
+8.22%
Max Drawdown
SCHZ: -2.5%
SPY: -8.9%
SCHZ Volatility (annualized)4.06%
SPY Volatility (annualized)13.99%

📈 Comparison

Metric
SCHZ
SPY
1 Year Return
N/A
+26.5%
3 Year Return
N/A
+10.2%
5 Year Return
N/A
+15.8%
Volatility
undefined%
18.20%
Expense Ratio
0.50%
0.09%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚔️ Comparison

2 - 12

🏆 SPY wins this comparison

Key Factors

💰 Expense Ratio
SCHZ:0.50%
vs
SPY:0.09%
🎯 Number of Holdings
SCHZ:10 holdings
vs
SPY:503 holdings
Additional Metrics (3)
⚖️ Concentration Risk
SCHZ: 46.2% in top 10
SPY: 39.1% in top 10
📊 Assets Under Management
SCHZ: $5B
SPY: $450B ✓
🔍 Uniqueness vs SPY
SCHZ: 100.0% unique
SPY: -0.0% unique

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

#StockSCHZ WeightSPY WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in SCHZ

Unique to SCHZ

Scroll horizontally to see all data
SymbolNameWeight
UST-10YU.S. Treasury Note 10Y8.50%
UST-5YU.S. Treasury Note 5Y7.20%
UST-30YU.S. Treasury Bond 30Y5.80%
UST-2YU.S. Treasury Note 2Y5.40%
FNMA-MBSFNMA Mortgage-Backed4.85%

Top Holdings Only in SPY

Unique to SPY

Scroll horizontally to see all data
SymbolNameWeight
NVDANVDA7.73%
AAPLAAPL6.82%
MSFTMSFT6.11%
AMZNAMZN3.81%
GOOGLGOOGL3.08%

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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