ITOT vs SCHB: Complete Comparison
iShares Core S&P Total U.S. Stock Market ETF vs Schwab U.S. Broad Market ETF โ overlap, correlation, performance & risk analysis
Visual Overlap
Price Performance
Historical price comparison over 3M
๐Performance Comparison
โ ๏ธRisk Metrics
Interpretation:
- ๐ Lower volatility = smoother ride
- โก Higher Sharpe/Sortino = better risk-adjusted returns
- โ ๏ธ Smaller max drawdown = less worst-case pain
- ๐ Beta > 1 = more volatile than S&P 500
โ๏ธHead-to-Head Comparison
๐ ITOT wins this comparison
Key Factors
โถAdditional Metrics (5)
Bottom line: ITOT wins with better number of holdings. Both have the same expense ratio, so cost isn't a differentiator. Consider ITOT for your portfolio, but SCHB is still a solid choice if you prefer its specific advantages.
Detailed Overlap Analysis
785 shared holdings representing 86.9% portfolio overlap
Top Shared Holdings
| # | Stock | ITOT Weight | SCHB Weight | Overlap |
|---|---|---|---|---|
| 1 | NVDA NVDA | 7.33% | 7.17% | 7.17% |
| 2 | MSFT MSFT | 5.68% | 6.47% | 5.68% |
| 3 | AAPL AAPL | 6.04% | 5.00% | 5.00% |
| 4 | AMZN AMZN | 3.64% | 3.33% | 3.33% |
| 5 | AVGO AVGO | 2.54% | 2.27% | 2.27% |
| 6 | META META | 2.07% | 2.73% | 2.07% |
| 7 | GOOGL GOOGL | 2.55% | 1.87% | 1.87% |
| 8 | GOOG GOOG | 2.05% | 1.51% | 1.51% |
| 9 | TSLA TSLA | 1.89% | 1.43% | 1.43% |
| 10 | BRK-B BRK-B | 1.38% | 1.40% | 1.38% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Top Holdings Only in ITOT
Unique to ITOT
| Symbol | Name | Weight |
|---|---|---|
| AXP | AXP | 0.30% |
| INTC | INTC | 0.25% |
| BLK | BLK | 0.24% |
| EME | EME | 0.08% |
| FITB | FITB | 0.08% |
Top Holdings Only in SCHB
Unique to SCHB
| Symbol | Name | Weight |
|---|---|---|
| ICE | ICE | 0.18% |
| HWM | HWM | 0.12% |
| FI | FI | 0.12% |
| AZO | AZO | 0.11% |
| OXY | OXY | 0.10% |
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 holdingNormalization: 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.
๐ 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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