Keep tabs on your favorite ETFs with a personalized weekly tracker. Create a Watchlist now →
QDEFvsJHMLETF Comparison
FlexShares Quality Dividend Defensive Index Fund ETF
FlexShares Quality Dividend Defensive Index Fund ETF (QDEF) and John Hancock Multifactor Large Cap ETF (JHML) belong to the same industry segment: US Multi-Factor. QDEF's top 3 sector exposures are Information Technology, Health Care and Financials. In contrast, JHML's top sector exposures are Information Technology, Financials and Industrials. QDEF is more expensive with a Total Expense Ratio (TER) of 0.38%, versus 0.32% for JHML. QDEF is up 1.47% year-to-date (YTD) with +$4M in YTD flows. JHML performs worse with 0.73% YTD performance, and -$2M in YTD flows. Run a side-by-side ETF comparison of QDEF and JHML below, and assess how they stack up in performance, liquidity, risk, exposure, holdings, and more, helping you select the best ETF for your investments.
QDEF vs JHML performance and flow charts
Performance
Cumulative Flows
| 1M | 3M | YTD | 1Y | 3Y | 5Y | ||
|---|---|---|---|---|---|---|---|
| Perf. | QDEF JHML | -2.47%-2.76% | +0.30%-0.37% | +1.47%+0.73% | +19.90%+21.61% | +72.98%+70.43% | +83.19%+70.07% |
| Flows | QDEF JHML | +$2M-$4M | +$4M+$2M | +$4M-$2M | +$26M-$46M | -$6M-$61M | -$181M+$8M |
| 3M | 1Y | 3Y | 5Y | ||
|---|---|---|---|---|---|
| Volatility | QDEF JHML | +9.48%+11.27% | +14.75%+17.47% | +12.10%+14.22% | +13.98%+16.31% |
| Max drawdown | QDEF JHML | -2.56%-3.05% | -11.62%-13.37% | -14.47%-18.02% | -21.30%-23.44% |
| Max drawdown duration | QDEF JHML | 30d30d | 46d45d | 191d127d | 566d708d |
QDEF | JHML | |
Last sale 3/11/2026 at 1:30 PM | $82.13 | $80.37 |
| Previous close 03/11/2026 | $82.43 | $80.53 |
| Consolidated volume 03/11/2026 | ||
| Average volume 30 days | ||
| Average discount or premium 30 days | ||
| Average Bid/Ask spread 30 days |
Create an account to view replication metrics
QDEF | JHML | |
|---|---|---|
| Tracking error | ||
| Tracking difference | ||
| 1 year cumulative return difference | ||
| Best | ||
| Worst | ||
| Daily return difference | ||
| Average | ||
| Worst | ||
QDEF | JHML | |
|---|---|---|
| Last price | $82.13 | $80.37 |
| 1D performance | -0.36% | -0.20% |
| AuM | $502.84 M | $1.04 B |
| E/R | 0.38% | 0.32% |
QDEF | JHML | |
|---|---|---|
| Management strategy | Passive | Passive |
| Provider | FlexShares | John Hancock Investments |
| Benchmark | Northern Trust Quality Dividend Defensive Index | John Hancock Dimensional Large Cap Index |
| N° of holdings | 123 | 712 |
| Asset class | Equities | Equities |
| Trailing 12m distribution yield | Join | Join |
| Inception date | December 14, 2012 | September 28, 2015 |
| ESG | No | No |
Countries
Sectors
Diversification
Total weight of top 15 holdings out of 15
Total weight of top 15 holdings out of 15
Top 15 holdings
How have the QDEF and JHML ETFs performed in 2026?
As of March 11, 2026, QDEF is up 1.47% year-to-date (YTD), while JHML has returned 0.73%. That puts QDEF better performer ahead so far this year.
Which ETF is attracting more investor money: QDEF or JHML?
Year-to-date, the QDEF ETF saw +$4M in flows, compared to -$2M for JHML.
Which ETF is more volatile: QDEF or JHML?
Over the past year, QDEF had a volatility of 14.75%, while JHML experienced 17.47%.
Which ETF is bigger: QDEF or JHML?
As of March 11, 2026, QDEF holds $502.84 M in assets under management (AUM), while JHML manages $1.04 B.
What sectors do the QDEF and JHML ETFs invest in?
QDEF leans toward sectors like Information Technology, Health Care and Financials. Meanwhile, JHML focuses on Information Technology, Financials and Industrials.
What are the top holdings of the QDEF ETF and JHML ETF?
QDEF top holdings include APPLE, NVIDIA and BROADCOM LIMITED. JHML holds in its top three: NVIDIA, APPLE and MICROSOFT-T.
Which ETF is more diversified: QDEF or JHML?
QDEF holds 124 securities with 45.64% of its assets in the top 15. JHML has 773 securities and a top 15 weight of 27.75%.
Active Trader Report: Use of Leveraged & Inverse ETFs Way Up
Direxion partnered with Compound Insights and Vanda to explore what’s driving the evolution of active trading — and how active traders are using leveraged and inverse funds across equities, single stocks, commodities, and volatility.
