SeekingAlpha · Nov 4, 2026
Moat Stocks Balance An AI-Concentrated Market
The top 10 stocks in the S&P 500 now make up about 40% of the index, above levels seen before the dot-com bust. Read more here.
MO
BATS · MOAT
VanEck Morningstar Wide Moat ETF
Financial Services · Asset Management
$114.26
Down-$0.66 (-0.57%)
Updated Nov 9, 2026, 12:29 AM
SID Score
7.6/10
Composite research score
Smart Money
54/100
Neutral
- Market cap
- 13.03B
- P/E ratio
- —
- Dividend yield
- 1.11%
- 52-week range
- $94.07 – $118.52
- Volume
- 322.93K
- Avg. volume
- 856.06K
Price performance · MOAT
MOAT price history
1M range · 20 trading sessions · Daily adjusted prices
Prices through Nov 6, 2026
MOAT closed at $114.26 after 20 trading sessions, up 4.58% for the selected period.
- Last close
- $114.26
- Period change
- +4.58%
- Period low
- $109.06
- Period high
- $117.99
Daily close
View OHLC price history
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 6, 2026 | $113.88 | $114.68 | $113.11 | $114.26 | 322.93K |
| Nov 5, 2026 | $117.82 | $118.22 | $114.35 | $114.92 | 694.76K |
| Nov 4, 2026 | $115.91 | $118.52 | $115.91 | $117.99 | 492.89K |
| Nov 3, 2026 | $113.92 | $114.73 | $113.40 | $114.16 | 413.61K |
| Nov 2, 2026 | $113.08 | $114.67 | $113.08 | $114.08 | 384.26K |
| Oct 30, 2026 | $112.52 | $113.13 | $111.95 | $112.38 | 274.23K |
| Oct 29, 2026 | $111.26 | $112.40 | $111.26 | $112.40 | 278.48K |
| Oct 28, 2026 | $110.91 | $111.38 | $110.29 | $110.92 | 376.22K |
| Oct 27, 2026 | $111.80 | $111.81 | $111.04 | $111.31 | 369.01K |
| Oct 26, 2026 | $111.62 | $112.37 | $111.53 | $111.97 | 338.15K |
| Oct 23, 2026 | $112.26 | $112.58 | $111.565 | $112.04 | 569.5K |
| Oct 22, 2026 | $111.14 | $113.14 | $111.03 | $113.11 | 494.96K |
| Oct 21, 2026 | $111.63 | $112.19 | $110.94 | $111.50 | 466.82K |
| Oct 20, 2026 | $110.76 | $111.90 | $110.46 | $111.80 | 692.13K |
| Oct 19, 2026 | $110.57 | $110.74 | $110.085 | $110.48 | 303.31K |
| Oct 16, 2026 | $111.55 | $112.055 | $110.18 | $110.63 | 505.2K |
| Oct 15, 2026 | $109.34 | $111.3199 | $109.34 | $111.23 | 422.63K |
| Oct 14, 2026 | $109.05 | $109.40 | $108.50 | $109.06 | 666.11K |
| Oct 13, 2026 | $109.32 | $109.685 | $108.88 | $109.31 | 306.81K |
| Oct 12, 2026 | $108.84 | $109.30 | $108.50 | $109.26 | 228.42K |
Latest MOAT news
The latest Smart Investors Daily articles mentioning MOAT.
Stock researchCompany · Overview
Company
Market Activity
Research & News
MOAT research
Overview
Company profile and research snapshot.
Company profile
The fund normally invests at least 80% of its total assets in securities that comprise the fund's benchmark index. The index is comprised of securities issued by companies that Morningstar, Inc. ("Morningstar") determines to have sustainable competitive advantages based on a proprietary methodology that considers quantitative and qualitative factors ("wide moat companies").
Analyst outlook
Consensus and target data currently published for this company.
- Consensus
- Buy
- Average target
- $121.34
- Implied upside
- —
- Analysts
- 24
| Date | Firm | Rating | Target |
|---|---|---|---|
| Sep 16, 2025 | DAY BY DAY | Buy | — |
News briefing
No generated briefing is available yet.
Benzinga · Oct 29, 2026
Bill Ackman’s 20-Year Investing Rule Puts These Cash-Flow and Moat ETFs in Focus
Bill Ackman’s 20-year investing rule puts cash flow and competitive advantages in focus. See how COWZ and MOAT ETFs stack up amid AI spending fears.
Yahoo · Oct 27, 2026
Two Yields, One Fund: Why Your ETF’s Yield Depends on Which Number You Read
The same ETF can show two very different yield numbers on the exact same day, and the gap is not a mistake. Understanding why each number exists changes how you compare funds and estimate the income they will actually put in your pocket.
SeekingAlpha · Oct 27, 2026
An Investor's Guide To Efficient Scale
Efficient scale occurs when a company serves a market so limited in size that new competitors have little incentive to enter.
AI research layers
Interpretive context generated from the platform’s current data sources.
No results
AI research layers have not been published yet.
