ERTH and ICLN both provide investors with targeted exposure to environmental sustainability themes, yet they pursue distinct strategies within the broader clean technology and renewable energy landscape. Rather than direct competitors, the two ETFs represent complementary yet differentiated approaches: ERTH emphasizes companies contributing to a more efficient use of natural resources across multiple environmental solutions, while ICLN concentrates on global clean energy producers and enablers. This comparison helps investors evaluate structural characteristics, cost structures, and thematic positioning when considering allocations to sustainable investing strategies amid ongoing energy transition efforts.
The Invesco MSCI Sustainable Future ETF (ERTH) is a passively managed exchange-traded fund that seeks to track the MSCI Global Environment Select Index. The index selects companies deriving significant revenue from products and services that support environmental sustainability, such as alternative energy, energy efficiency, green building, sustainable water management, and pollution prevention. As of recent data, the fund holds approximately 161–163 securities. Top holdings typically include technology leaders like NVIDIA and Tesla alongside real estate investment trusts such as Digital Realty Trust and renewable firms like First Solar. Sector allocations feature notable exposure to real estate, information technology, and industrials. The fund carries a net expense ratio of 0.66% and rebalances quarterly. Its structure provides diversified access to global environmental solutions beyond pure energy generation.
The iShares Global Clean Energy ETF (ICLN) is a passively managed exchange-traded fund designed to track the S&P Global Clean Energy Transition Index. This index focuses on approximately 100 companies worldwide involved in clean energy activities, including solar, wind, and other renewable power generation and related equipment. The fund typically maintains around 106 holdings. Prominent positions often feature companies such as Bloom Energy, First Solar, and NextEra-related entities. Sector weightings lean heavily toward utilities and energy, with meaningful international exposure. ICLN maintains a net expense ratio of 0.39% and employs quarterly rebalancing. Its narrower mandate delivers concentrated exposure to the clean energy value chain.
The clean energy and sustainable technology sectors continue to evolve amid global decarbonization initiatives, policy support for renewables, and corporate sustainability commitments. Macroeconomic factors including interest rate environments, supply chain dynamics in solar and battery technologies, and shifting capital flows into environmental solutions influence both ETFs. Regulatory developments around emissions standards and renewable energy incentives provide potential tailwinds, while commodity price fluctuations and grid infrastructure challenges introduce sector-specific risks. Both funds operate within a thematic space sensitive to long-term energy transition trends rather than short-term economic cycles.
Across recent market cycles, ERTH’s broader holdings across technology and real estate have contributed to different volatility characteristics compared with ICLN’s heavier weighting in utilities and pure-play renewables. ICLN’s lower expense ratio may support relative cost efficiency during periods of modest sector returns. Performance differentials often tie to sector rotation favoring or disfavoring renewable generation versus broader sustainability themes, as well as interest rate sensitivity affecting capital-intensive clean energy projects. ERTH’s diversified profile may offer somewhat lower concentration risk, while ICLN provides more direct alignment with clean power production momentum.
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 evaluating thematic ETFs like ERTH and ICLN can leverage this platform to refine screening criteria aligned with their objectives.
Based on observable structural factors, Tickeron’s AI would likely assign a modest probabilistic preference to ICLN in the current environment due to its lower expense ratio, more concentrated clean energy mandate, and established liquidity profile, which may align with sustained thematic interest in renewable generation. ERTH remains a viable alternative for investors prioritizing broader environmental sustainability exposure and greater holdings diversification. Selection ultimately depends on individual risk tolerance and thematic priorities.
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.
| ERTH | ICLN | ERTH / ICLN | |
| Gain YTD | 0.546 | 26.145 | 2% |
| Net Assets | 140M | 3.14B | 4% |
| Total Expense Ratio | 0.66 | 0.39 | 169% |
| Turnover | 31.00 | 25.00 | 124% |
| Yield | 1.37 | 1.14 | 120% |
| Fund Existence | 20 years | 18 years | - |
| ERTH | ICLN | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 86% | 1 day ago 88% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 86% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 84% | 1 day ago 88% |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 86% | 1 day ago 90% |
| Advances ODDS (%) | 2 days ago 85% | 2 days ago 88% |
| Declines ODDS (%) | 7 days ago 87% | 7 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 6 days ago 78% | 1 day ago 90% |
A.I.dvisor indicates that over the last year, ERTH has been loosely correlated with NXT. These tickers have moved in lockstep 61% 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.
| Ticker / NAME | Correlation To ERTH | 1D Price Change % | ||
|---|---|---|---|---|
| ERTH | 100% | -2.53% | ||
| NXT - ERTH | 61% Loosely correlated | -6.53% | ||
| NVDA - ERTH | 50% Loosely correlated | -4.13% | ||
| XPEV - ERTH | 50% Loosely correlated | -4.42% | ||
| NIU - ERTH | 49% Loosely correlated | -3.66% | ||
| EVGO - ERTH | 48% Loosely correlated | -1.55% | ||
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A.I.dvisor indicates that over the last year, ICLN has been closely correlated with NXT. These tickers have moved in lockstep 72% 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.
| Ticker / NAME | Correlation To ICLN | 1D Price Change % | ||
|---|---|---|---|---|
| ICLN | 100% | -4.44% | ||
| NXT - ICLN | 72% Closely correlated | -6.53% | ||
| BE - ICLN | 69% Closely correlated | -6.90% | ||
| FCEL - ICLN | 68% Closely correlated | -10.62% | ||
| FSLR - ICLN | 65% Loosely correlated | -5.27% | ||
| SEDG - ICLN | 59% Loosely correlated | -9.02% | ||
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