Innovator MSCI Emerging Markets Power Buffer ETF - July (EJUL.US)

10-Year Study

EJUL.US · US · ETF

About Innovator MSCI Emerging Markets Power Buffer ETF - July (EJUL.US)

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The fund invests under normal circumstances, at least 80% of its net assets (plus any borrowings for investment purposes) in investments that provide exposure to the iShares MSCI Emerging Markets ETF (the "Underlying ETF"). FLEX Options are exchange-traded option contracts with uniquely customizable terms....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

Innovator MSCI Emerging Markets Power Buffer ETF - July (EJUL.US) charges an annual expense ratio of 0.89%, manages approximately $176.0M in net assets, and maintains a portfolio of 5 holdings. At the portfolio level, its underlying basket trades at 1.98x sales and 2.24x book value.

Executive Summary: Innovator MSCI Emerging Markets Power Buffer ETF - July has compounded at 2.8% annually over the last 10 years, with a maximum drawdown of 20.9% and an annualized volatility of 9.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+3.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.8%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2019-07-01$10,000
2019-08-01$9,832
2019-09-01$9,919
2019-10-01$10,121
2019-11-01$10,156
2019-12-01$10,466
2020-01-01$10,204
2020-02-01$10,006
2020-03-01$9,161
2020-04-01$9,660
2020-05-01$9,877
2020-06-01$9,974
2020-07-01$10,176
2020-08-01$10,213
2020-09-01$10,196
2020-10-01$10,258
2020-11-01$10,500
2020-12-01$10,577
2021-01-01$10,584
2021-02-01$10,685
2021-03-01$10,719
2021-04-01$10,737
2021-05-01$10,776
2021-06-01$10,800
2021-07-01$10,457
2021-08-01$10,538
2021-09-01$10,337
2021-10-01$10,433
2021-11-01$10,213
2021-12-01$10,321
2022-01-01$10,353
2022-02-01$10,154
2022-03-01$10,102
2022-04-01$9,719
2022-05-01$9,817
2022-06-01$9,346
2022-07-01$9,354
2022-08-01$9,294
2022-09-01$8,625
2022-10-01$8,538
2022-11-01$9,332
2022-12-01$9,193
2023-01-01$9,696
2023-02-01$9,243
2023-03-01$9,402
2023-04-01$9,308
2023-05-01$9,243
2023-06-01$9,282
2023-07-01$9,572
2023-08-01$9,193
2023-09-01$9,064
2023-10-01$8,889
2023-11-01$9,294
2023-12-01$9,515
2024-01-01$9,240
2024-02-01$9,444
2024-03-01$9,584
2024-04-01$9,559
2024-05-01$9,672
2024-06-01$9,870
2024-07-01$9,934
2024-08-01$10,019
2024-09-01$10,280
2024-10-01$10,139
2024-11-01$10,002
2024-12-01$9,932
2025-01-01$10,040
2025-02-01$10,102
2025-03-01$10,173
2025-04-01$10,178
2025-05-01$10,430
2025-06-01$11,146
2025-07-01$11,108
2025-08-01$11,320
2025-09-01$11,653
2025-10-01$11,788
2025-11-01$11,770
2025-12-01$11,939
2026-01-01$12,177
2026-02-01$12,290
2026-03-01$12,024
2026-07-01$12,173
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
20.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.12
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.16
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
9.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +20.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -10.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
71%

Annual Returns

View full annual returns data
YearReturn
20201.1%
2021-2.4%
2022-10.9%
20233.5%
20244.4%
202520.2%
20262.0%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.00.9-2.21.22.0%
20251.10.60.70.12.56.9-0.31.92.91.2-0.21.420.2%
2024-2.92.21.5-0.31.22.00.60.92.6-1.4-1.4-0.74.4%
20235.5-4.71.7-1.0-0.70.43.1-4.0-1.4-1.94.62.43.5%
20220.3-1.9-0.5-3.81.0-4.80.1-0.6-7.2-1.09.3-1.5-10.9%
20210.11.00.30.20.40.2-3.20.8-1.90.9-2.11.1-2.4%
2020-2.5-1.9-8.45.52.21.02.00.4-0.20.62.40.71.1%
2019-1.70.92.00.33.14.7%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
9.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-6.1%
VEA.US-12.5%
VWO.US73.5%
QQQ.US3.2%
VTV.US4.6%
IJR.US0.2%
QUAL.US4.1%
SHV.US8.3%
TLT.US-0.4%
LQD.US7.1%
HYG.US6.8%
GLD.US0.2%
USO.US-0.3%
VNQ.US-2.6%
BTC-USD.CC-0.2%
CPER.US2.5%
VIX.INDX0.4%
UUP.US4.2%
TIP.US-1.1%
Idiosyncratic7.9%

Innovator MSCI Emerging Markets Power Buffer ETF - July ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
0.89%
74th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
21st pct
larger than 21% of 1,446 ETFs we track
Holdings Count5
Distribution Yield
0.0%
10th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E12.84x
Portfolio Price-to-Sales1.98x
Portfolio Price-to-Book2.24x

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+0.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+3.2%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
2.4% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.36
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
51
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+5.3%
50.0% retracement+7.9%
61.8% retracement+10.7%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

EJUL.US — 10-Year Return & Risk Profile

Innovator MSCI Emerging Markets Power Buffer ETF - July (EJUL.US) has delivered near-flat annualized growth of 2.8% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $13,243, representing a total return of 32%. Over this period, EJUL.US generated positive annual returns in 7 out of 10 calendar years (71%).

The best single calendar year for EJUL.US was 2025, with a return of +20.2%. The worst year was 2022, when the asset declined 10.9%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of -0.12 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

EJUL.US — Drawdown, Volatility & Downside Risk

EJUL.US's annualized volatility of 9.3% is classified as low relative to the long-run US equity benchmark of approximately 15%. This below-average volatility profile suggests the asset has historically experienced smaller day-to-day price swings than the broad market, which may appeal to risk-conscious or income-oriented investors.

The asset's maximum peak-to-trough decline over the study period was 20.9% — a significant bear-market drawdown. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 21% drawdown, for example, requires a 26% gain just to break even.

When evaluating EJUL.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

EJUL.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 73.5% of EJUL.US's return variance to Emerging Market Equities. This means that when Emerging Market Equities rises or falls sharply, EJUL.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their EJUL.US allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 12.5% of variance. 7.9% of EJUL.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding EJUL.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding EJUL.US alongside assets with low correlation to Emerging Market Equities — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Innovator MSCI Emerging Markets Power Buffer ETF - July a high-risk investment?

Innovator MSCI Emerging Markets Power Buffer ETF - July (EJUL.US) has an annualized volatility of 9.3% and experienced a maximum drawdown of 20.9% over the last 10 years. Its primary macro risk driver is VWO.US.

What is the 10-year return of EJUL.US?

Over the past 10 years, EJUL.US has generated a Compound Annual Growth Rate (CAGR) of 2.8%. A $10,000 investment would have grown to approximately $13,243. It has had a positive return in 71% of calendar years.

What is EJUL.US's Sharpe ratio?

EJUL.US has a Sharpe ratio of -0.12 and a Sortino ratio of -0.16 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is EJUL.US's dividend yield?

EJUL.US does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is EJUL.US above its 200-day moving average?

EJUL.US is currently above its 200-day moving average by 3.2%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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