QLMACX Performance — Franklin Templeton Moderately Aggressive Model Portfolio, Class I
Data updated: 2026-08-26
QLMACX returned +8.21% year to date and +16.23% over one year to Jun 2026. Annualised returns are +14.86% over 3 years and +8.02% over 5 years. The fund beat its Core Bond category average: $100 invested three years ago grew to $152, against $120 for the category, and to $116 over one year, against $107. Volatility over the past three years was 9.93% a year. In the 12 months to Jun 2026 the fund took in a net $405.3M, and assets reached $3.10B.
QLMACX Growth of $100
What $100 invested in Franklin Templeton Moderately Aggressive Model Portfolio grew to, compounded from monthly returns reported on SEC Form N-PORT, against the Core Bond category average over the same months.
| Period | QLMACX | Category average |
|---|---|---|
| 1 year (Jul 2025 – Jun 2026) | $116 | $107 |
| 3 years (Jul 2023 – Jun 2026) | $152 | $120 |
| 5 years (Jul 2021 – Jun 2026) | $147 | $112 |
| Since data start (Apr 2020 – Jun 2026) | $201 | $131 |
QLMACX Trailing Returns
Total returns to Jun 2026, from SEC N-PORT.
| Period | Total return |
|---|---|
| YTD | +8.21% |
| 1 year | +16.23% |
| 3 years (annualised) | +14.86% |
| 5 years (annualised) | +8.02% |
QLMACX Annual Returns
Calendar-year total returns of Franklin Templeton Moderately Aggressive Model Portfolio, compounded from monthly SEC N-PORT returns. Partial years show the months covered.
| Year | Total return |
|---|---|
| 2026 (Jan–Jun) | +8.21% |
| 2025 | +15.27% |
| 2024 | +14.48% |
| 2023 | +15.93% |
| 2022 | −15.87% |
| 2021 | +14.77% |
| 2020 (Apr–Dec) | +25.98% |
QLMACX Monthly Returns
Monthly total returns as reported on SEC Form N-PORT.
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | +1.6% | +0.5% | −4.7% | +6.8% | +3.6% | +0.5% | — | — | — | — | — | — |
| 2025 | +2.8% | −0.2% | −3.5% | 0.0% | +4.2% | +4.0% | +0.9% | +1.8% | +2.4% | +1.5% | +0.2% | +0.4% |
| 2024 | +0.4% | +3.3% | +2.7% | −3.3% | +3.7% | +1.8% | +1.6% | +2.1% | +1.9% | −1.6% | +4.0% | −2.6% |
| 2023 | +5.2% | −3.0% | +2.4% | +1.1% | −0.6% | +4.0% | +2.4% | −2.1% | −4.0% | −2.0% | +7.4% | +4.7% |
| 2022 | −4.2% | −2.5% | +1.0% | −6.5% | +0.3% | −6.2% | +6.1% | −3.1% | −7.5% | +4.3% | +5.7% | −3.5% |
| 2021 | −0.6% | +1.2% | +2.2% | +3.6% | +0.4% | +1.5% | +1.6% | +1.7% | −3.2% | +4.2% | −1.5% | +2.9% |
| 2020 | — | — | — | +3.2% | +3.0% | +1.7% | +4.3% | +3.9% | −2.3% | −1.2% | +8.1% | +3.1% |
QLMACX Risk
Risk measures from monthly returns over Jul 2023 – Jun 2026.
- 3-year volatility (annualised): 9.93%
- 3-year Sharpe ratio: 1.04 (vs 4.5% risk-free rate)
- Best month: +7.45% (Nov 2023)
- Worst month: −4.72% (Mar 2026)
QLMACX Fund Flows
Monthly money in and out of Franklin Templeton Moderately Aggressive Model Portfolio, from SEC Form N-PORT.
- 12-month net flow: $405.3M
- 12-month gross sales (incl. reinvestments): $436.4M
- Sales ÷ redemptions: 14.01×
| Month | Sales | Redemptions | Net flow |
|---|---|---|---|
| Jun 2026 | $53.1M | $2.4M | $50.6M |
| May 2026 | $17.6M | $1.6M | $16.0M |
| Apr 2026 | $23.3M | $2.0M | $21.3M |
| Mar 2026 | $22.9M | $4.0M | $18.9M |
| Feb 2026 | $16.7M | $2.5M | $14.1M |
| Jan 2026 | $19.7M | $3.9M | $15.8M |
| Dec 2025 | $176.2M | $912K | $175.3M |
| Nov 2025 | $17.6M | $1.9M | $15.7M |
| Oct 2025 | $27.3M | $2.9M | $24.4M |
| Sep 2025 | $15.2M | $4.8M | $10.4M |
| Aug 2025 | $21.9M | $2.9M | $18.9M |
| Jul 2025 | $25.0M | $1.3M | $23.7M |
QLMACX Assets Under Management
Net assets of Franklin Templeton Moderately Aggressive Model Portfolio by report date, from SEC N-PORT filings.
| Report date | Net assets |
|---|---|
| 2026-06-30 | $3.10B |
| 2026-03-31 | $2.74B |
| 2025-12-31 | $2.77B |
| 2025-09-30 | $2.65B |
| 2025-06-30 | $2.47B |
| 2025-03-31 | $2.22B |
| 2024-12-31 | $2.18B |
| 2024-09-30 | $2.13B |
| 2024-06-28 | $1.96B |
| 2024-03-28 | $1.86B |
| 2023-12-29 | $1.70B |
| 2023-09-29 | $1.49B |
For information only. Not investment advice: figures are as reported in SEC filings and may contain errors or be out of date. Past performance does not guarantee future results.