SPMO
Price
$150.29
Change
-$0.18 (-0.12%)
Updated
Sep 9, 12:36 PM (EDT)
Net Assets
22.64B
Intraday BUY SELL Signals
VUG
Price
$87.73
Change
-$0.39 (-0.44%)
Updated
Sep 9, 12:39 PM (EDT)
Net Assets
384.53B
Intraday BUY SELL Signals
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SPMO vs VUG

SPMO vs VUG Comparison Chart in %
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A.I.Advisor
Aug 22, 2026

Which ETF would AI Choose? Invesco S&P 500 Momentum ETF (SPMO) vs. Vanguard Growth ETF (VUG)

Key Takeaways

  • Invesco S&P 500 Momentum ETF (SPMO) employs a rules-based momentum strategy that selects approximately 100 stocks from the S&P 500 Index with the highest momentum scores, resulting in concentrated exposure to recent outperformers.
  • Vanguard Growth ETF (VUG) provides broad exposure to large-capitalization growth stocks through full replication of a growth index, holding around 150 securities with significantly lower costs.
  • SPMO carries a higher expense ratio of 0.13% compared to VUG’s 0.03%, reflecting its active selection methodology versus VUG’s passive indexing approach.
  • Both ETFs exhibit heavy technology sector allocations, though SPMO’s momentum tilt often produces greater concentration in high-momentum names within that sector and periodic shifts into other areas such as industrials.
  • VUG offers superior diversification and liquidity due to its larger asset base and lower turnover, while SPMO provides differentiated exposure through semi-annual rebalancing focused on price persistence.
  • Structural differences position SPMO as a tactical complement for momentum-driven environments and VUG as a core large-growth holding for long-term investors seeking cost-efficient market exposure.

Introduction

Investors seeking large-cap U.S. equity exposure frequently compare growth-oriented strategies, and the Invesco S&P 500 Momentum ETF (SPMO) and Vanguard Growth ETF (VUG) represent distinct approaches within this space. SPMO applies a momentum overlay to the S&P 500, while VUG delivers straightforward large-cap growth characteristics. These ETFs do not compete directly but offer alternative paths to growth-oriented portfolios: one emphasizing recent performance persistence and the other providing broad, low-cost access to established growth companies. Understanding their structural differences helps investors align selections with specific risk tolerances and market views.

Invesco S&P 500 Momentum ETF (SPMO) Overview

The Invesco S&P 500 Momentum ETF (SPMO) tracks the S&P 500 Momentum Index, selecting approximately 100 securities from the S&P 500 Index that exhibit the strongest momentum scores. The index weights constituents by a combination of market capitalization and momentum score, with reconstitution and rebalancing occurring twice annually on the third Friday of March and September. The fund maintains a passive structure with full replication where possible and holds roughly 100 positions. Top holdings typically feature technology names such as Micron Technology (MU), NVIDIA (NVDA), and Broadcom (AVGO), contributing to technology sector allocations often exceeding 50%. The expense ratio stands at 0.13%. SPMO’s momentum-driven methodology distinguishes it from traditional market-cap weighted funds by systematically favoring securities with strong recent relative performance.

Vanguard Growth ETF (VUG) Overview

The Vanguard Growth ETF (VUG) seeks to track the CRSP U.S. Large Cap Growth Index (recently transitioning toward Morningstar equivalents in nomenclature) through full physical replication of large-capitalization growth stocks. The fund holds approximately 150 securities and applies a passive, market-capitalization-weighted approach with low turnover. Top holdings commonly include NVIDIA (NVDA), Apple (AAPL), Microsoft (MSFT), and Alphabet (GOOGL), resulting in technology sector exposure frequently above 55%. The expense ratio is 0.03%, among the lowest in its category. VUG’s structure emphasizes broad representation of the large-cap growth segment of the U.S. equity market while remaining fully invested and minimizing tracking error through efficient replication.

Industry and Thematic Backdrop

Both ETFs operate within the large-cap growth segment of the U.S. equity market, where technology innovation, artificial intelligence adoption, and semiconductor demand continue to drive capital flows. Macroeconomic factors including interest rate expectations, corporate earnings growth in technology and related sectors, and regulatory developments around data privacy and antitrust influence sector momentum. Growth equities have benefited from capital rotation toward high-return sectors in recent market cycles, though valuations remain elevated relative to historical averages. Risks include potential compression in multiples if economic growth moderates or if monetary policy shifts become less supportive. The environment favors strategies that balance growth exposure with considerations of concentration and cost efficiency.

Performance and Positioning Comparison

In recent weeks and months, momentum-focused strategies like those employed by the Invesco S&P 500 Momentum ETF (SPMO) have shown sensitivity to shifts in leadership among high-momentum names, often amplifying gains during strong technology rallies while experiencing sharper drawdowns during rotations. The Vanguard Growth ETF (VUG), with its broader growth mandate, has delivered more consistent participation across large-cap growth constituents, resulting in comparatively lower volatility in certain market environments. Relative positioning reflects SPMO’s emphasis on price persistence versus VUG’s stable representation of established growth companies. Both benefit from earnings momentum in technology leaders, yet SPMO’s semi-annual rebalancing introduces periodic adjustments that can enhance or detract from returns depending on prevailing market trends.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors comparing ETFs such as the Invesco S&P 500 Momentum ETF (SPMO) and Vanguard Growth ETF (VUG) may find the tool useful for exploring related securities and signals.

Tickeron AI Verdict

Tickeron’s AI would likely assign a modest edge to the Vanguard Growth ETF (VUG) in the current environment due to its substantially lower expense ratio, greater diversification across approximately 150 holdings, and highly liquid structure supported by a large asset base. While the Invesco S&P 500 Momentum ETF (SPMO) offers attractive momentum characteristics and potential outperformance in trending markets, its higher cost and narrower selection introduce incremental structural trade-offs. The probabilistic preference favors VUG for core, cost-efficient large-cap growth exposure, with SPMO remaining suitable as a complementary allocation for investors seeking explicit momentum tilts.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

VS
SPMO vs. VUG commentary
Sep 09, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is SPMO is a Buy and VUG is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
VUG has more net assets: 385B vs. SPMO (22.6B). SPMO has a higher annual dividend yield than VUG: SPMO (26.657) vs VUG (8.376). SPMO was incepted earlier than VUG: SPMO (11 years) vs VUG (23 years). VUG (0.03) has a lower expense ratio than SPMO (0.13). SPMO has a higher turnover VUG (12.00) vs VUG (12.00).
SPMOVUGSPMO / VUG
Gain YTD26.6578.376318%
Net Assets22.6B385B6%
Total Expense Ratio0.130.03433%
Turnover44.0012.00367%
Yield0.710.38185%
Fund Existence11 years23 years-
TECHNICAL ANALYSIS
Technical Analysis
SPMOVUG
RSI
ODDS (%)
N/A
N/A
Stochastic
ODDS (%)
Bearish Trend 1 day ago
70%
Bullish Trend 1 day ago
88%
Momentum
ODDS (%)
Bullish Trend 1 day ago
83%
Bullish Trend 1 day ago
85%
MACD
ODDS (%)
Bullish Trend 1 day ago
83%
Bearish Trend 1 day ago
80%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
84%
Bearish Trend 1 day ago
81%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
84%
Bearish Trend 1 day ago
86%
Advances
ODDS (%)
Bullish Trend 1 day ago
82%
Bullish Trend 7 days ago
85%
Declines
ODDS (%)
Bearish Trend 21 days ago
76%
Bearish Trend 1 day ago
79%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
56%
Bearish Trend 7 days ago
79%
Aroon
ODDS (%)
Bullish Trend 1 day ago
88%
N/A
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SPMO
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Gain/Loss:
VUG
Daily Signal:
Gain/Loss:
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SPMO and

Correlation & Price change

A.I.dvisor indicates that over the last year, SPMO has been closely correlated with GLW. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then GLW could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPMO
1D Price
Change %
SPMO100%
+0.50%
GLW - SPMO
72%
Closely correlated
+7.56%
ETN - SPMO
72%
Closely correlated
+2.75%
PWR - SPMO
66%
Loosely correlated
+2.34%
CMI - SPMO
65%
Loosely correlated
+0.14%
GEV - SPMO
62%
Loosely correlated
+3.12%
More

VUG and

Correlation & Price change

A.I.dvisor indicates that over the last year, VUG has been closely correlated with RVTY. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if VUG jumps, then RVTY could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To VUG
1D Price
Change %
VUG100%
-0.37%
RVTY - VUG
70%
Closely correlated
-2.41%
SWKS - VUG
57%
Loosely correlated
+1.84%
MCHP - VUG
56%
Loosely correlated
-1.07%
ADI - VUG
55%
Loosely correlated
+0.26%
ZM - VUG
54%
Loosely correlated
-4.83%
More