SPMO
Price
$154.62
Change
-$3.22 (-2.04%)
Updated
Jun 16, 04:59 PM (EDT)
Net Assets
21.35B
Intraday BUY SELL Signals
VUG
Price
$86.82
Change
-$0.85 (-0.97%)
Updated
Jun 16, 04:59 PM (EDT)
Net Assets
393.82B
Intraday BUY SELL Signals
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SPMO vs VUG

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

Key Takeaways

  • SPMO follows a rules-based momentum strategy within the S&P 500, selecting approximately 100 stocks with strong recent price performance, while VUG tracks a broad large-cap growth index with roughly 150–180 holdings.
  • VUG offers a significantly lower expense ratio of 0.03% compared to SPMO’s 0.13%, providing a cost advantage for long-term buy-and-hold investors.
  • Both ETFs exhibit heavy concentration in the technology sector, though SPMO’s momentum filter can lead to more dynamic shifts in sector weights and top holdings over time.
  • SPMO provides targeted exposure to momentum as a factor, potentially enhancing returns during strong trend periods but introducing higher volatility relative to VUG’s passive growth approach.
  • VUG delivers broader diversification within the growth segment of the U.S. large-cap equity market, while SPMO narrows focus to the highest-momentum names.
  • Structural differences in rebalancing—SPMO’s index-driven quarterly adjustments versus VUG’s passive replication—position the ETFs differently for investors seeking factor tilt versus core growth exposure.

Introduction

SPMO and VUG both target U.S. large-cap equities with a pronounced growth orientation, yet they employ distinct methodologies that appeal to different investor objectives. SPMO implements an active momentum overlay on the S&P 500, whereas VUG offers straightforward passive exposure to the CRSP US Large Cap Growth Index. In the current market environment characterized by technological innovation and sector rotation, these ETFs serve as complementary or alternative tools for investors seeking growth-oriented equity exposure without direct overlap in strategy.

Invesco S&P 500® Momentum ETF (SPMO) Overview

The Invesco S&P 500® Momentum ETF (SPMO) seeks to track the S&P 500 Momentum Index, which selects approximately 100 stocks from the S&P 500 exhibiting the strongest recent price momentum. The fund holds roughly 100–101 securities and maintains an expense ratio of 0.13%. Top holdings typically include technology leaders such as NVIDIA Corporation and Broadcom Inc., reflecting the strategy’s emphasis on recent outperformers. Sector allocations show pronounced concentration in information technology (approximately 49–53%), followed by industrials (12–14%) and communication services (around 9–10%). SPMO employs a passive, rules-based approach with periodic rebalancing to maintain alignment with the momentum index, distinguishing it as a factor-focused vehicle rather than a broad-market or thematic product.

Vanguard Growth ETF (VUG) Overview

The Vanguard Growth ETF (VUG) tracks the CRSP US Large Cap Growth Index through full replication, holding approximately 153–180 large-cap growth stocks. Its expense ratio stands at 0.03%, among the lowest in its category. Top holdings feature established growth names including NVIDIA Corporation, Apple Inc., and Microsoft Corporation. Sector exposure is heavily weighted toward technology (roughly 53–67%), with meaningful allocations to communication services and consumer discretionary. VUG operates as a passively managed index fund with low turnover, providing efficient, low-cost access to the large-cap growth segment of the U.S. equity market.

Industry and Thematic Backdrop

Both ETFs operate within the large-cap growth equity space, dominated by technology-driven companies benefiting from artificial intelligence adoption, cloud computing expansion, and digital transformation trends. Macroeconomic drivers such as interest rate expectations and corporate earnings cycles influence capital flows into growth sectors. Regulatory developments around technology and data privacy, alongside geopolitical tensions affecting supply chains, represent ongoing risks. The environment favors companies with strong earnings momentum, though shifts in monetary policy or economic growth rates could alter sector leadership between momentum and broad growth strategies.

Performance and Positioning Comparison

In recent market cycles, SPMO’s momentum methodology has produced more variable relative performance compared with VUG’s steady large-cap growth exposure. SPMO tends to amplify gains during periods of strong sector trends but may lag when momentum reverses. VUG’s broader holdings provide smoother participation in overall growth market advances. Both vehicles have benefited from technology sector strength, yet SPMO’s concentrated factor tilt introduces greater sensitivity to rotation dynamics, while VUG maintains more consistent positioning across earnings seasons and macroeconomic shifts.

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 seeking data-driven insights into ETFs like SPMO and VUG may find the platform useful for refining their research process.

Tickeron AI Verdict

Tickeron’s AI would likely favor the Vanguard Growth ETF (VUG) at present, citing its materially lower expense ratio, broader diversification within the growth universe, and established passive structure that supports consistent exposure with minimal tracking error. While SPMO offers compelling momentum factor exposure that can enhance returns in favorable trend environments, VUG’s cost efficiency and structural stability position it as the more balanced choice for most long-term investors seeking large-cap growth participation.

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
Jun 17, 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 Hold and VUG is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
VUG has more net assets: 394B vs. SPMO (21.3B). SPMO has a higher annual dividend yield than VUG: SPMO (29.951) vs VUG (6.740). SPMO was incepted earlier than VUG: SPMO (11 years) vs VUG (22 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 YTD29.9516.740444%
Net Assets21.3B394B5%
Total Expense Ratio0.130.03433%
Turnover44.0012.00367%
Yield0.670.37182%
Fund Existence11 years22 years-
TECHNICAL ANALYSIS
Technical Analysis
SPMOVUG
RSI
ODDS (%)
Bearish Trend 2 days ago
74%
Bullish Trend 2 days ago
89%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
70%
Bullish Trend 2 days ago
84%
Momentum
ODDS (%)
Bullish Trend 2 days ago
83%
Bearish Trend 2 days ago
82%
MACD
ODDS (%)
Bearish Trend 2 days ago
79%
Bearish Trend 2 days ago
73%
TrendWeek
ODDS (%)
Bullish Trend 2 days ago
84%
Bullish Trend 2 days ago
86%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
83%
Bullish Trend 2 days ago
87%
Advances
ODDS (%)
Bullish Trend 2 days ago
83%
Bullish Trend 2 days ago
85%
Declines
ODDS (%)
Bearish Trend 7 days ago
75%
Bearish Trend 7 days ago
78%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
79%
Bullish Trend 2 days ago
90%
Aroon
ODDS (%)
Bullish Trend 2 days ago
84%
Bullish Trend 2 days ago
90%
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SPMO
Daily Signal:
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 LRCX. 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 LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPMO
1D Price
Change %
SPMO100%
-2.04%
LRCX - SPMO
72%
Closely correlated
-5.03%
AVGO - SPMO
69%
Closely correlated
-4.37%
AMAT - SPMO
68%
Closely correlated
-3.00%
KLAC - SPMO
68%
Closely correlated
-7.44%
ETN - SPMO
67%
Closely correlated
+0.16%
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