ERTH
Price
$48.52
Change
+$0.96 (+2.02%)
Updated
Jun 11 closing price
Net Assets
137.83M
Intraday BUY SELL Signals
ICLN
Price
$20.74
Change
+$0.88 (+4.43%)
Updated
Jun 11 closing price
Net Assets
2.9B
Intraday BUY SELL Signals
PBW
Price
$39.71
Change
+$2.06 (+5.47%)
Updated
Jun 11 closing price
Net Assets
533.33M
Intraday BUY SELL Signals
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ERTH or ICLN or PBW

Header iconERTH vs ICLN vs PBW Comparison
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ERTH vs ICLN vs PBW Comparison Chart in %
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Which ETF would AI Choose? Invesco MSCI Sustainable Future ETF (ERTH) vs. iShares Global Clean Energy ETF (ICLN) vs. Invesco WilderHill Clean Energy ETF (PBW)

Key Takeaways

  • ERTH, ICLN, and PBW are all passive thematic ETFs targeting clean energy and environmental solutions but differ in index construction, geographic scope, and concentration levels.
  • ICLN offers the lowest expense ratio at 0.39%, providing cost efficiency compared to ERTH (0.66% net) and PBW (0.64%).
  • ERTH maintains the broadest diversification with approximately 160 holdings, while PBW is the most concentrated with around 70 holdings, increasing its potential volatility.
  • ICLN emphasizes global clean energy exposure with significant weighting in solar and wind equipment manufacturers, whereas ERTH incorporates broader sustainable future themes including data centers and efficiency technologies.
  • PBW focuses on U.S.-centric innovative clean energy companies, often with higher exposure to smaller, higher-growth but more volatile firms in fuel cells and energy storage.
  • Structural differences in index methodology lead to varying sensitivities to technological innovation, policy support, and commodity price cycles across the three funds.

Introduction

ERTH, ICLN, and PBW represent distinct approaches to clean energy investing within the broader environmental solutions theme. While all three ETFs provide exposure to companies advancing renewable power, energy efficiency, and sustainable technologies, they track different indexes with unique selection criteria and geographic tilts. Investors comparing these funds evaluate trade-offs between diversification depth, cost, and thematic purity. The comparison highlights how each fund positions itself for long-term shifts toward decarbonization without relying on short-term market fluctuations.

Invesco MSCI Sustainable Future ETF (ERTH) Overview

The Invesco MSCI Sustainable Future ETF (ERTH) seeks to track the MSCI Global Environment Select Index. This passive strategy selects companies demonstrating strong environmental performance across global markets. The fund typically holds approximately 160 securities, with top positions often including technology and industrial firms such as NVIDIA (NVDA), Tesla (TSLA), and Digital Realty Trust (DLR). Sector allocations emphasize technology, industrials, and utilities. ERTH maintains a net expense ratio of 0.66% and rebalances quarterly. Its distinguishing feature is a broader sustainable future mandate that incorporates data center infrastructure and resource efficiency alongside traditional clean energy.

iShares Global Clean Energy ETF (ICLN) Overview

The iShares Global Clean Energy ETF (ICLN) tracks an index of global companies involved in clean energy production and equipment. This passive fund holds roughly 100 to 130 securities, with notable concentrations in solar and wind equipment providers. Top holdings frequently feature firms such as Bloom Energy (BE) and First Solar (FSLR). Allocations lean heavily toward industrials and technology sectors with international exposure. ICLN carries an expense ratio of 0.39%, making it the lowest-cost option among the three. Quarterly rebalancing supports alignment with the underlying index of global clean energy equities.

Invesco WilderHill Clean Energy ETF (PBW) Overview

The Invesco WilderHill Clean Energy ETF (PBW) follows the WilderHill Clean Energy Index, focusing on companies advancing clean energy technologies. This passive approach results in approximately 70 holdings, emphasizing innovative U.S. firms in areas such as fuel cells, energy storage, and advanced materials. Top holdings often include smaller-capitalization names like FuelCell Energy (FCEL) and Bloom Energy (BE). Sector exposure centers on industrials and technology with limited international diversification. PBW maintains an expense ratio of 0.64% and undergoes quarterly rebalancing and reconstitution.

Industry and Thematic Landscape

The clean energy sector encompasses renewable power generation, energy storage, efficiency technologies, and related equipment manufacturing. Macroeconomic drivers include government policy support for decarbonization, technological advancements in solar and battery systems, and corporate sustainability commitments. Capital flows into the theme respond to regulatory incentives, interest rate environments, and supply chain developments for critical minerals. Geopolitical factors influence equipment sourcing and project financing. Earnings trends among major holdings often reflect order backlogs for renewable installations and adoption rates of new technologies. Sector risks include policy uncertainty, commodity price volatility, and competition from traditional energy sources.

Performance and Positioning Comparison

In recent market cycles, structural differences have produced varied performance patterns among the three ETFs. ERTH’s broader holdings and inclusion of efficiency-focused companies have contributed to relatively stable exposure during periods of technology sector strength. ICLN’s global clean energy focus has aligned closely with international policy developments and equipment demand cycles. PBW’s concentration in smaller, innovation-driven firms has led to higher volatility and sharper drawdowns during risk-off environments but potential for amplified gains when clean energy themes accelerate. Differences in concentration and geographic reach explain relative sensitivities to macroeconomic factors such as interest rates and supply chain disruptions.

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 on thematic ETFs can leverage this platform for deeper analysis.

Tickeron AI Verdict

Based on observable structural characteristics, Tickeron’s AI would likely assign a modest preference to ICLN due to its lowest expense ratio, solid global diversification across clean energy subsectors, and balanced holdings profile. ERTH offers compelling breadth for investors prioritizing sustainability integration, while PBW’s concentrated approach suits those seeking higher-risk, innovation-focused exposure. Selection ultimately depends on individual risk tolerance and allocation goals within a diversified portfolio.

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

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SUMMARIES
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FUNDAMENTALS
Fundamentals
ICLN has more net assets: 2.9B vs. PBW (533M) and ERTH (138M). PBW has a higher annual dividend yield than ICLN and ERTH: PBW (30.157) vs ICLN (26.232) and ERTH (2.986). ERTH was incepted earlier than ICLN and PBW: ERTH (20 years) vs ICLN (18 years) and PBW (21 years). ICLN (0.39) has a lower expense ratio than PBW (0.64) and ERTH (0.66). PBW has a higher turnover ERTH (31.00) and ICLN (25.00) vs ERTH (31.00) and ICLN (25.00).
ERTHICLNPBW
Gain YTD2.98626.23230.157
Net Assets138M2.9B533M
Total Expense Ratio0.660.390.64
Turnover31.0025.0062.00
Yield1.371.140.60
Fund Existence20 years18 years21 years
TECHNICAL ANALYSIS
Technical Analysis
ERTHICLNPBW
RSI
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
88%
Bearish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bullish Trend 1 day ago
80%
Bullish Trend 1 day ago
89%
Bullish Trend 1 day ago
90%
Momentum
ODDS (%)
Bearish Trend 1 day ago
86%
Bearish Trend 1 day ago
84%
Bearish Trend 1 day ago
89%
MACD
ODDS (%)
Bearish Trend 1 day ago
86%
Bearish Trend 1 day ago
84%
Bearish Trend 1 day ago
89%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
86%
Bearish Trend 1 day ago
88%
Bearish Trend 1 day ago
90%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
87%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 15 days ago
84%
Bullish Trend 15 days ago
88%
Bullish Trend 11 days ago
90%
Declines
ODDS (%)
Bearish Trend 3 days ago
87%
Bearish Trend 3 days ago
88%
Bearish Trend 3 days ago
90%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
82%
Bullish Trend 1 day ago
90%
Aroon
ODDS (%)
Bullish Trend 1 day ago
80%
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
86%
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ERTH
Daily Signal:
Gain/Loss:
ICLN
Daily Signal:
Gain/Loss:
PBW
Daily Signal:
Gain/Loss:
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ERTH and

Correlation & Price change

A.I.dvisor indicates that over the last year, ERTH has been loosely correlated with NXT. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if ERTH jumps, then NXT could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To ERTH
1D Price
Change %
ERTH100%
+2.02%
NXT - ERTH
60%
Loosely correlated
+6.90%
XPEV - ERTH
50%
Loosely correlated
-2.69%
NIU - ERTH
49%
Loosely correlated
+2.88%
NVDA - ERTH
49%
Loosely correlated
+2.22%
CHPT - ERTH
47%
Loosely correlated
+2.81%
More

ICLN and

Correlation & Price change

A.I.dvisor indicates that over the last year, ICLN has been closely correlated with NXT. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICLN jumps, then NXT could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To ICLN
1D Price
Change %
ICLN100%
+4.43%
NXT - ICLN
71%
Closely correlated
+6.90%
BE - ICLN
70%
Closely correlated
+6.25%
FCEL - ICLN
68%
Closely correlated
+9.01%
FSLR - ICLN
64%
Loosely correlated
+8.79%
BLDP - ICLN
58%
Loosely correlated
-4.00%
More

PBW and

Correlation & Price change

A.I.dvisor indicates that over the last year, PBW has been closely correlated with ENVX. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if PBW jumps, then ENVX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To PBW
1D Price
Change %
PBW100%
+5.47%
ENVX - PBW
68%
Closely correlated
+6.69%
BLDP - PBW
68%
Closely correlated
-4.00%
QS - PBW
66%
Loosely correlated
+3.29%
ACHR - PBW
65%
Loosely correlated
+4.95%
SLDP - PBW
65%
Loosely correlated
+2.17%
More