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ANALYTICS
AnalysisScreenerGroups

Selection

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EVMT

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Commodities Funds · 113 total

ANALYTICS
AnalysisScreenerGroups

EVMT

Invesco Electric Vehicle Metals Commodity Strategy No K-1 ETF

Expense Ratio
0.59%
AUM
$7M
Inception
4/28/2022
1Y Return
+16.1%37th %ilevs 113 asset-class peers
·

The fund is an actively managed exchange-traded fund (“ETF”) that, under normal circumstances, seeks to achieve its investment objective by investing in a combination of financial instruments that are economically linked to the tradeable metals widely used in the production of an electric vehicle (which include, but are not limited to, iron ore, copper, aluminum, nickel, cobalt and lithium).

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
EVMT
Invesco Electric Vehicle Metals Commodity Strategy No K-1 ETF
16.1%16.1%15.9%0.77-11.9%
ⓘ Methodology

ETF performance based on market prices. Drag on chart to select period. Sharpe Ratio uses the one-month T-bill as the risk-free rate. From 10/7/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
EVMT
Invesco Electric Vehicle Metals Commodity Strategy No K-1 ETF
2.3%-0.1%-1.1%-3.5%-0.5%-2.4%16.1%9.6%4.3%-7.5%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
2022202320242025YTD
EVMT
Invesco Electric Vehicle Metals Commodity Strategy No K-1 ETF
-18.3%*-27.7%-10.5%30.6%2.3%
ⓘ Methodology

* partial year — the series ran for only part of it (its first year, or the year it closed); the figure is the return over the part it did run. ETF performance based on market prices. As of 10/7/2026.

Correlation Matrix

Benchmark

Select a second series, or to correlate with the seven research factors.

Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
EVMTUS
Invesco Electric Vehicle Metals Commodity Strategy No K-1 ETF
20.8%0.53**-0.220.09-0.130.13-0.23**-0.48**0.26226
ⓘ Methodology

ETF performance based on market prices. US factor set. Daily OLS of excess return (fund − T-bill) on factor spread returns over the selected date range, intersected with each series' history. Bold with * |t| ≥ 1.96, ** |t| ≥ 2.58. Cell shading tracks each loading's t-stat. Betas are returns-based — compare with the holdings-based factor scores below. Factor returns are long-short spread returns (© Ken French, Dartmouth). From 10/7/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund Profile

Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Commodities
Peer Group Benchmark
Peer Group
Commodities - Metals (39 peers)
1Y Peer Percentile
71
3Y Peer Percentile
4
Expense Ratio
0.59%
AUM
$7M
Yield
11.43%
Inception
4/28/2022
Holdings (Reported)
12
Turnover
31%
Equity
0%
Derivatives
-9%
Net Equity Exposure
0%
Strategy Summary

The fund is an actively managed exchange-traded fund (“ETF”) that, under normal circumstances, seeks to achieve its investment objective by investing in a combination of financial instruments that are economically linked to the tradeable metals widely used in the production of an electric vehicle (which include, but are not limited to, iron ore, copper, aluminum, nickel, cobalt and lithium).

ⓘ Methodology

Expense ratio and its components from market data (10/6/2026). Turnover from market data (10/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Summary may be from an older prospectus.

Factor DetailsRef: Commodities Funds

None of the selected metrics are scored for EVMT — switch the picker to All, or add metrics under Metrics (top right).

ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Solid blue dots mark the fund's position within the clean equity fund universe (5th–95th percentile scale); the shaded band spans the fund's broad class (Commodities Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Holdings

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12 positions (top 10 shown, create for full holdings)

#NameWeight %Country
1Invesco Premier U.S. Government Money Portfolio
81.19
USA
2Invesco Liquidity Funds PLC, Invesco US Dollar Liquidity Portfolio
10.61
IRL
3-
0.41
N/A
4-
-0.01
N/A
5-
-0.04
N/A
6-
-0.20
N/A
7-
-0.20
N/A
8-
-0.21
N/A
9-
-0.49
N/A
10-
-1.69
N/A
ⓘ Methodology

Sector, country and factor detail need a security match; the share of weight that matched is a member figure, so the rows without one appear here with those columns blank. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Commodities Funds

Total Holdings12
Effective Holdings1.3
Top 10 Weight92.2%
Max Position81.2%
Top Sector (of Net Assets)92%
Top Country (of Net Assets)81%
ⓘ Methodology

Hover or click for definitions. Solid blue dots mark the fund: percentage rows on a 0–100% scale, holdings counts log-scaled across the clean-universe 5th–95th percentile range. The shaded band spans the fund's broad class (Commodities Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026.

Peer Group Rank

See All Peer Groups
Metric
EVMT
Invesco Electric Vehicle Metals Commodity Strategy No K-1 ETF
Peer Group
39 funds
Peer Asset Class
113 funds
YTD Return
2.30%-5.26%8219.73%35
1Y Return
16.05%2.83%7124.77%37
3Y Return (Ann.)
4.26%30.44%417.14%14
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.59%0.56%450.71%66
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (41 share classes across 39 funds). One share class shown per fund — the exchange-listed class where the SEC series has one, else its longest-history class; percentile ranks and medians are computed against the same deduped set. Quartile chips fill the layer the fund's rank falls in (top layer = best quartile). Funds without a full return history rank only on the horizons they cover.

Similar Funds

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Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity67
Top Overlap
Top Active Tilt
Top Return Corr
FundPeer Group
1PDBC
Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF
Commodities - Broad
Commodities - Broad
67---
2PDBA
Invesco Agriculture Commodity Strategy No K-1 ETF
Commodities - Agriculture
Commodities - Agriculture
65---
3BRCAX
Invesco Balanced-Risk Commodity Strategy Fund
Commodities - Broad
Commodities - Broad
18---
4EDGH
3EDGE Dynamic Hard Assets ETF
Fixed Income - Core
Fixed Income - Core
14---
5ABRCX
Invesco Balanced-Risk Allocation Fund
Alts - Capital Efficient (Multi-Asset)
Alts - Capital Efficient (Multi-Asset)
13---
6QVOPX
Invesco Multi-Strategy Fund
Alts - Other
Alts - Other
13---
7GPKAX
Grant Park Dynamic Allocation Fund
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
10---
8RAA
SMI 3Fourteen REAL Asset Allocation ETF
Allocation - Moderate
Allocation - Moderate
10---
9USAF
Atlas America Fund
Allocation - Conservative
Allocation - Conservative
10---
10GPAAX
Grant Park Multi Alternative Strategies Fund
Alts - Other
Alts - Other
4---

The method columns are members-only — create a free account to see these figures.

ⓘ Methodology

Rows are the consensus top matches (a fund must place in at least two methods' top 250 to qualify, and matches missing more than one of this fund's own methods are not ranked — a row scored on fewer methods is a noisier estimate, not a better match). Click a method column to see that method's own top matches across the whole universe instead. Gray (N) beside each method's metric is that fund's rank in the whole universe on that method. Similarity is a percentile among match-grade fund pairs, 0–100 — 87 means the pair is closer than 87% of the strongest matches in the universe, averaged across the methods — so it compares across funds: index clones tie at the top with thousands of other clone pairs, so scores top out in the high 80s to 90s, while a one-of-a-kind fund's best match can score in the 30s. Rows are ordered by the Consensus Rank — the geometric mean of those universe ranks, shown in each cell's tooltip — and the score is held down the list to the level of the closest match above it, so equal scores mean equally close and the number reads as a floor. A dash means that method has no figure for the pair at all (one of them lacks the holdings or return history it needs). Hover a column header for each method's definition. The “Top…” strips above compare against every fund's own top match across the whole universe (they deliberately don't follow the Peer Universe selector); Top Similarity is simply the best match's score, with no reference band; the Holdings and Active Tilt strips carry no reference band because computing every fund's best book overlap would require a full holdings scan per fund — the dot stands alone on its natural 0–100% scale. One share class shown per fund, and a fund's own sister share classes are excluded from its Top-match strips. Holdings as of 7/31/2026. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Holdings Overlap = common-holdings weight (sum of the minimum weight across shared positions, long only). Active Tilt Overlap = the same statistic on active weights (holdings minus the fund's own default benchmark, floored at 0), which strips the benchmark ballast that dominates raw overlap. Return Correlation = correlation of market-hedged daily returns over the trailing two years (CAPM residuals), so only market-beta co-movement is removed; requires ~18 months of daily history (378 of the window's 504 trading days).