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ANALYTICS
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JEPQ

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Peer Universe

Reference set for percentile ranks and factor bars

Options Funds · 830 total

ANALYTICS
AnalysisScreenerGroups

JEPQ

JPMorgan Nasdaq Equity Premium Income ETF

Expense Ratio
0.35%
AUM
$44.3B
Inception
5/5/2022
1Y Return
+20.1%93rd %ilevs 830 asset-class peers
·

The fund invests at least 80% of its assets in equity securities, significantly including those in the Nasdaq-100 Index, and may also utilize equity-linked notes (ELNs) and sell call options for income generation. It employs a non-diversified strategy, limiting investments in any single industry to 25% of total assets, or 35% if that industry comprises 20% or more of the benchmark. The investment process integrates fundamental analysis with data science techniques to identify attractive valuations while managing risks, including assessments of ESG factors.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
JEPQ
JPMorgan Nasdaq Equity Premium Income ETF
20.1%20.1%14.8%1.10-8.8%
ⓘ 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
JEPQ
JPMorgan Nasdaq Equity Premium Income ETF
15.3%0.0%0.9%3.3%6.7%16.6%20.1%19.2%21.7%16.5%
ⓘ 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
JEPQ
JPMorgan Nasdaq Equity Premium Income ETF
-12.9%*36.3%24.9%15.2%15.3%
ⓘ 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

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Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
JEPQUS
JPMorgan Nasdaq Equity Premium Income ETF
1.1%0.86**-0.24**0.02-0.15**-0.13*0.11**0.020.89226
ⓘ 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

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Options
Region
Equity Sleeve Style
Large Growth
Peer Group Benchmark
Prospectus Benchmark
S&P 500 Index
Peer Group
Options - Income (295 peers)
1Y Peer Percentile
79
3Y Peer Percentile
88
Expense Ratio
0.35%
AUM
$44.3B
3Y Flow
+858.5%
Yield
11.05%
Inception
5/5/2022
Holdings (Reported)
160
Turnover
174%
Equity
79%
Derivatives
0%
Strategy Summary

The fund invests at least 80% of its assets in equity securities, significantly including those in the Nasdaq-100 Index, and may also utilize equity-linked notes (ELNs) and sell call options for income generation. It employs a non-diversified strategy, limiting investments in any single industry to 25% of total assets, or 35% if that industry comprises 20% or more of the benchmark. The investment process integrates fundamental analysis with data science techniques to identify attractive valuations while managing risks, including assessments of ESG factors.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (9/8/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 6/30/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (78% of total assets).

LargeMidSmall
5%
29%
62%
1%
1%
2%
-
-
-
Large
ValueCoreGrowth
Size
Large
96%
Mid
4%
Small
0%
Style
Value
5%
Core
30%
Growth
64%
ⓘ Methodology

Equity size and style definitions: Large vs. Small based on market cap, where Large > $70B, Mid $10-70B, and Small < $10B. Value vs. Growth based on percentile ranking on Traditional Value score within the fund's region and size cohort (equal thirds among its true equity-fund peers). This fund is not an equity fund, so the box describes its equity sleeve only (79% of assets): the sleeve's holdings are scored and ranked against equity funds of the same region and size cohort. The rest of the portfolio (bonds, cash, other assets) is not represented here. Cell shading and percentages: share of classified holdings weight per box, from stock-level classification (size on the same $70B/$10B lines; value by Traditional Value terciles across scored stocks). The dot is the average holding ranked against other funds, so dot and weights can differ at the margin. The Size and Style bars are the grid's row and column totals. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Options Funds

Based on equity exposure only (78% of total assets).

Intangible Value80.3
Traditional Value15.6
Small-Cap6.4
Quality71.8
Momentum82.5
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Ranked within the clean equity fund universe, one entry per fund series (lowest: 0, highest: 100; the middle of the range is denser than the ends). Blue dots mark the fund; the shaded band spans the Options Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Options Funds

Based on equity exposure only (78% of total assets).

Valuation
Book-to-Price (NTM)12.1
Sales-to-Price (NTM)17.5
Earnings-to-Price (NTM)4.1
Innovation/IP
R&D / Mkt Cap1.4
Patents / Mkt Cap0.90
Brand
Sales & Marketing / Mkt Cap1.4
Trademarks / Mkt Cap0.03
Human Capital
PhD Employees / Mkt Cap3.4
Top University Alumni / Mkt Cap7.2
Politics
Lobbying Spend / Mkt Cap8.8
AI
AI Employees / Mkt Cap0.90
ⓘ 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 (Options Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Asset Class Exposure

Equity82.2%
Fixed Income16.3%
Cash & Short-Term1.5%
ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under.

Country Exposure

Level
85.5%
85.1%
Other0.4%
14.1%
7.4%
5.5%
1.1%
Other0.1%
Other (1 region)0.4%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (78% of total assets).

56.6%
12.9%
11.2%
5.9%
4.4%
4.0%
2.6%
1.1%
0.9%
0.3%
0.2%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (78% of total assets).

AI Composition

Infrastructure67.4%
Early Adopter20.2%
Laggard12.4%

Magnificent 7

Magnificent 732.8%
Non-Magnificent 767.2%

Old vs New Economy

Old Economy21.9%
New Economy78.1%

Globalization

Multinational80.9%
Exporter7.0%
Importer3.8%
Domestic8.3%

China Exposure

China/HK Domiciled0.1%
Revenue & Operations27.5%
Operations Only15.5%
Revenue Only9.7%
No Material Exposure47.1%

Company Size

Mega (>$500B)51.5%
Large ($70–500B)43.1%
Mid ($10–70B)5.4%
Small ($1–10B)0.0%
Micro (<$1B)0.0%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 79% of net assets) — they are not portfolio weights. China exposure: domiciled = incorporated in China or Hong Kong, falling back to the filing's country for holdings outside the stock model. Among the rest, revenue = ≥15% of revenue derived from China; operations = ≥3% of LinkedIn-tracked workforce in China, or ≥2 identified Chinese suppliers making up ≥12% of those identified. China revenue is estimated where segment reporting is absent. Company size bands by holding market cap: Mega >$500B, Large $70–500B, Mid $10–70B, Small $1–10B, Micro <$1B. Old vs New Economy partitions Sparkline's 48 industries: New = technology, internet platforms and entertainment, e-commerce, payments, pharma/biotech/medtech, and renewable energy; Old = everything else. Shares are of classified holdings and sum to 100%. China shares are of total equity weight. Size shares are of scored holdings weight. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Holdings

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

#NameTickerWeight %SectorIndustryCountry
1NvidiaNVDA
6.59
TechnologySemiconductorsUSA
2AppleAAPL
5.74
TechnologyTechnology HardwareUSA
3Micron TechnologyMU
5.50
TechnologySemiconductorsUSA
4AlphabetGOOG
4.98
CommunicationInternet PlatformsUSA
5MicrosoftMSFT
3.84
TechnologySoftwareUSA
6Advanced Micro DevicesAMD
3.81
TechnologySemiconductorsUSA
7Amazon.comAMZN
3.62
Consumer DiscE-CommerceUSA
8Lam ResearchLRCX
2.85
TechnologySemicap EquipmentUSA
9TeslaTSLA
2.36
Consumer DiscAutomobilesUSA
10Meta PlatformsMETA
2.35
CommunicationInternet PlatformsUSA
ⓘ Methodology

Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Options Funds

Total Holdings160
Effective Holdings40.3
Top 10 Weight41.6%
Max Position6.6%
Top Sector (of Net Assets)50%
Top Country (of Net Assets)84%
ⓘ 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 (Options Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
JEPQ
JPMorgan Nasdaq Equity Premium Income ETF
Peer Group
295 funds
Peer Asset Class
830 funds
YTD Return
15.27%6.95%827.62%93
1Y Return
20.12%10.43%7910.70%93
3Y Return (Ann.)
21.67%14.88%8814.10%97
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.35%0.99%890.79%90
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (329 share classes across 295 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 Similarity79
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1QQQI
NEOS Nasdaq-100(R) High Income ETF
US Large Growth
US Large Growth
79-----
2QYLG
Global X Nasdaq 100 Covered Call & Growth ETF
Options - Income
Options - Income
75-----
3GPIQ
Goldman Sachs Nasdaq-100 Premium Income ETF
Options - Income
Options - Income
75-----
4QQA
Invesco QQQ Income Advantage ETF
Options - Income
Options - Income
70-----
5QQQH
NEOS Nasdaq-100(R) Hedged Equity Income ETF
Options - Buffer/Defined Outcome
Options - Buffer/Defined Outcome
68-----
6QTJA
Innovator Growth Accelerated Plus ETF - January
US Large Growth
US Large Growth
61-----
7QTOC
Innovator Growth Accelerated Plus ETF - October
US Large Growth
US Large Growth
61-----
8QYLD
Global X NASDAQ 100 Covered Call ETF
Options - Income
Options - Income
61-----
9QQQ
Invesco QQQ Trust
US Large Growth
US Large Growth
61-----
10SEPQ
STF Tactical Growth & Income ETF
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
61-----

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 6/30/2026. 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. Factor Similarity = 100 − a signature-weighted RMS gap across the composite factor scores (0–100 ranks within the clean equity fund universe), each axis weighted by how far this fund sits from the universe median of 50. 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). Fama-French Similarity = 1/(1+d), where d is the Euclidean distance between factor betas (market, size, value, profitability, investment, momentum, intangible value) from up to three years of daily returns (min 378 daily observations and regression R² of at least 0.25); 1.00 = identical loadings.