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The most concentrated energy transition ETFs

Two funds on one theme can hold ten names or two hundred. That is the choice this list is about, and it is not visible in either fund’s name.

The most concentrated energy transition ETFs, ranked by the share of the fund held in its ten largest positions, as of Sep 18, 2026. Source: ETFIQ.
#TickerFundTop ten weightHoldingsNet assetsTotal return, 1Y
1EVXVanEck Environmental Services ETF60.1%27$97m+1.6%
2NBETNeuberger Energy Transition & Infrastruc57.2%31$45m+29.2%
3PWERNomura Energy Transition ETF48.5%31$11m+44.4%
4ETECiShares Breakthrough Environmental Solut47.6%60$4m+1.9%
5NVIRHorizon Kinetics Energy and Remediation 46.7%39$6m+25.8%
6USNZXtrackers Net Zero Pathway Paris Aligned46.1%306$298m+16.8%
7PCLNPictet Cleaner Planet ETF38.7%66$18mtoo new
8IQSZInvesco Global Equity Net Zero ETF25.5%489$174m+22.5%
9ETHOAmplify Etho Climate Leadership U.S. ETF8.2%287$191m+23.7%

Method

The 9 of 9 ETFs in the energy transition and decarbonisation theme with a filed book, most concentrated first. Across the funds listed here the weight in the ten largest runs from 8.2% to 60.1%. Concentration is not a fault. It is how much of the fund rides on ten decisions. The ranking is the published field sorted, nothing else: no scoring, no weighting and no view on any fund. Every fund ETFIQ covers in this category is eligible, including funds that have closed, because leaving them out would flatter the category.

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Where these figures came from

ETFIQ links to the documents behind every figure. It is not affiliated with any issuer, and a link is not an endorsement.

A ranking is not a recommendation and no order on this site is an opinion. ETFIQ is an independent publisher, not an adviser. Standards and sources

Cite this page. ETFIQ, The most concentrated energy transition ETFs, ranked by the share of the fund held in its ten largest positions, data as of Sep 18, 2026. https://etfiq.com/rankings/themes-concentrated-energy-transition Free to use with attribution; the underlying files are at Open data.