The KMEM ETF launched in May 2026 as the only U.S.-listed fund that isolates memory‑chip exposure, and it now manages about $25.52 million in market capitalization.
Why the fund is so concentrated
KMEM’s prospectus mandates that at least 80% of assets be invested in “Memory Companies.” Because only three firms dominate DRAM and high‑bandwidth memory (HBM) production, the fund’s holdings naturally cluster around them. As of August 14, 2026, SK hynix, Micron and Samsung together account for 85.3% of the portfolio.
The concentration is not an oversight; it reflects the industry’s oligopolistic structure. Few manufacturers can produce memory at the scale required for AI accelerators, so any thematic fund that truly targets memory will look similar.
Key holdings and their risks
SK hynix makes up 36.90% of KMEM, the single largest exposure.
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Relying heavily on a Korean issuer introduces currency risk, settlement differences, and geopolitical considerations, especially given U.S. export controls on advanced semiconductors.
Micron provides the American component, representing 25.36% of assets.
Because Micron files with the SEC, investors can track its performance in real time, unlike the Korean peers. Still, a single miss on Micron’s guidance would move a quarter of the fund’s value.
Samsung contributes 23.00% and brings breadth across DRAM and NAND flash. Its massive manufacturing footprint can soften a pure HBM shock, but Samsung is a diversified conglomerate. Weakness in its handset or display divisions could drag the fund even if memory results are solid.
In the middle of this analysis, it’s worth noting that memory demand has become a bottleneck for AI growth. As models expand, the need for faster data movement pushes designers toward higher‑bandwidth solutions, which in turn fuels orders for HBM and DRAM. That feedback loop explains why a narrow‑focus vehicle like KMEM can appear attractive despite its lack of diversification.
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Beyond the top three, SanDisk appeared at 3.64% in an earlier snapshot, but the fund’s current top‑ten exposure totals 33.7% when derivatives are considered. The discrepancy arises because the 85.3% figure measures direct equity weight, while the broader metric includes notional derivative exposure.
KMEM uses a derivatives overlay that includes options, FLEX options, futures and swaps. FLEX contracts allow the fund to tailor strike prices and expirations while keeping trades on a regulated exchange. This structure lets KMEM achieve memory‑chip exposure with less capital than buying the stocks outright.
Investors should recognize that the derivatives layer adds counterparty and liquidity considerations. While the Options Clearing Corporation backs listed contracts, the fund’s exposure can fluctuate with market volatility, which has already produced an 87% peak‑to‑trough range since launch.
On Tuesday, the Nasdaq Composite rose 0.86% to 26,202.59, driven largely by the memory complex. Micron shares climbed 3%, Intel broke resistance at $89.54, and Marvell jumped 7.21%. The memory sector’s leadership helped the Dow edge up 0.07%, a spread largely attributed to the same drivers.
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KMEM traded at $16.26 on August 7, moving within a $15.82‑$17.00 band on 158,070 shares, compared with an average volume of 209,470. Five‑day net flows were zero, indicating no fresh inflows or outflows during that period.
The fund charges a 0.65% expense ratio and has accumulated $35.81 million in assets since its inception. Its 52‑week price range spans $14.55 to $27.25, showing the volatility inherent in a niche, non‑diversified vehicle.
SEC filings and the adviser’s website provide the most up‑to‑date holdings, which can shift as the fund’s managers respond to market trends or adjust the definition of a “Memory Company.” The prospectus allows changes to the investment objective with 60 days’ notice, meaning the portfolio could look different a year from now.
For now, KMEM remains a concentrated bet on the memory segment that has been propelling the Nasdaq higher. Whether the $25.52 million of assets can weather the next cycle will depend on how quickly AI‑driven demand stabilizes and whether the three dominant manufacturers can sustain growth without a major market correction.
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