NLR: VanEck Uranium and Nuclear ETF
Tracks the MVIS Global Uranium & Nuclear Energy Index, a market-cap-weighted index of uranium miners, nuclear utilities, and nuclear services firms. Managed by VanEck with a 0.52% expense ratio. 8 of its top 10 holdings are in the Supercycle AI universe, and those holdings carry an average AI Exposure Score of 42 (Growing tier).
Holdings and expense ratio per the issuer, as of . Funds rebalance; verify current holdings with VanEck. Not investment advice.
Top holdings, scored
| # | Holding | Market cap | AI score | Buildout layers |
|---|---|---|---|---|
| 1 | CEGConstellation Energy | $90.25B | 68 | Power & Energy |
| 2 | CCJCameco | $39.90B | 45 | Raw Materials & MiningPower & Energy |
| 3 | PEGPublic Service Enterprise Group | $34.77B | 30 | Utilities & Grid |
| 4 | BWXTBWX Technologies | $13.52B | 20 | Power & EnergyDefense & Aerospace AI |
| 5 | LEUCentrus Energy | $2.97B | 50 | Raw Materials & MiningPower & Energy |
| 6 | FOJCFFortum (Finland)(untracked) | - | - | - |
| 7 | NXENexGen Energy | $6.19B | 38 | Raw Materials & Mining |
| 8 | UECUranium Energy | $5.30B | 40 | Raw Materials & Mining |
| 9 | DNNDenison Mines | $2.59B | 42 | Power & EnergyRaw Materials & Mining |
| 10 | PALAFPaladin Energy (Australia)(untracked) | - | - | - |
Market data as of the close on . Prices are end of day, not live.
Where it sits in the buildout
NLR's tracked top holdings concentrate in these layers:
Frequently asked questions
What are NLR's top holdings?
As of 2026-08-14, NLR's top 10 holdings are CEG, CCJ, PEG, BWXT, LEU, FOJCF, NXE, UEC, DNN, PALAF. Holdings change as the fund rebalances; the issuer's site has the current full list.
Is NLR a good way to get AI exposure?
That depends on the exposure wanted, which is a personal decision, but the data says this: 8 of NLR's top 10 holdings are in the Supercycle AI universe (CEG, CCJ, PEG, BWXT, LEU, NXE, UEC, DNN), with an average AI Exposure Score of 42 (Growing tier). Its expense ratio is 0.52% per year.
Other AI ETFs
Funds versus picking layers is covered in the Start Here guide; all AI ETFs are compared on the AI ETFs page.