Fidelity MSCI Energy Index (FENY) ETF Holdings & Analysis
ETFOther
$36.08+0.36%
52-week range$36.08
$23.52$36.08
What FENY does
The core objective of this ETF is to replicate the investment outcomes of the MSCI USA IMI Energy 25/50 Index.
Fund profile
Category
Other
AUM
$1.91B
Holdings
10
52-week high
$36.08
52-week low
$23.52
Top holdings
| Holding | Weight | |
|---|---|---|
| EXXONMOBIL HOLDINGS CORP | 21.68% | |
| CHEVRON CORP | 13.98% | |
| CONOCOPHILLIPS | 5.97% | |
| MARATHON PETROLEUM CORP | 4.05% | |
| VALERO ENERGY CORP | 3.96% | |
| PHILLIPS 66 | 3.64% | |
| WILLIAMS COMPANIES INC | 3.35% | |
| SLB LTD | 3.28% | |
| EOG RESOURCES INC | 2.88% | |
| TARGA RESOURCES CORP | 2.30% |
Sector allocation
| Basic Materials | 0.29% |
| Energy | 99.65% |
| Industrials | 0.06% |
Geographic allocation
| United States | 97.60% |
| United Kingdom | 1.36% |
| Other | 0.71% |
| Switzerland | 0.24% |
| Bermuda | 0.08% |
| Australia | 0.01% |
PortView Portfolio Insights
PortView analyzes how FENY 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 FENY in PortView →Related securities
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Frequently asked questions
- What does FENY track?
- FENY is the Fidelity MSCI Energy Index ETF, a Other ETF.
- What is the expense ratio of FENY?
- Expense ratio data for FENY is shown on the page when available from our data provider.
- What are the largest holdings in FENY?
- Top holdings include XOM, CVX, COP, MPC, VLO.
- How can PortView analyze FENY overlap with other ETFs?
- PortView computes the holdings overlap between FENY 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.