iShares U.S. Financial Services (IYG) ETF Holdings & Analysis
ETFOther
$97.46+1.23%
52-week range$97.46
$79.87$98.40
What IYG does
This exchange-traded fund, known as the iShares U.S. Financial Services ETF, endeavors to mirror the returns of a benchmark index that includes American stocks within the financial services industry.
Fund profile
Category
Other
AUM
$2.22B
Holdings
10
52-week high
$98.40
52-week low
$79.87
Top holdings
| Holding | Weight | |
|---|---|---|
| JPMORGAN CHASE & CO | 12.97% | |
| BERKSHIRE HATHAWAY INC CLASS B | 12.53% | |
| VISA CLASS A | 8.57% | |
| MASTERCARD CLASS A | 6.50% | |
| BANK OF AMERICA | 5.51% | |
| GOLDMAN SACHS GROUP INC | 4.13% | |
| WELLS FARGO | 3.59% | |
| MORGAN STANLEY | 3.48% | |
| CITIGROUP INC | 3.07% | |
| CHARLES SCHWAB | 2.44% |
Sector allocation
| Financial Services | 100.00% |
Geographic allocation
| United States | 99.61% |
| Other | 0.15% |
| Puerto Rico | 0.15% |
| Bermuda | 0.09% |
PortView Portfolio Insights
PortView analyzes how IYG fits your actual portfolio — position weight, ETF overlap with your other funds, sector and geographic exposure, concentration, and how this fund contributes to your portfolio risk and return. Connect a portfolio to see your personalized figures; PortView never shows another user's private holdings.
Analyze IYG in PortView →Related securities
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Frequently asked questions
- What does IYG track?
- IYG is the iShares U.S. Financial Services ETF, a Other ETF.
- What is the expense ratio of IYG?
- Expense ratio data for IYG is shown on the page when available from our data provider.
- What are the largest holdings in IYG?
- Top holdings include JPM, BRK-B, V, MA, BAC.
- How can PortView analyze IYG overlap with other ETFs?
- PortView computes the holdings overlap between IYG and the other ETFs and stocks you own, plus your combined sector and geographic exposure, so you can see true diversification.
The information provided by PortView is for informational and educational purposes only and does not constitute investment advice. Market data may be delayed. Past performance does not guarantee future results.