Funds/Mutual funds

MFDirect GrowthHybrid Schemes - Aggressive Hybrid Fund

Groww Aggressive Hybrid Fund - Direct Plan - Growth Performance

Month-end returns from daily AMFI NAV, with return next to max drawdown. Watch, compare up to four of the same type, or read the tearsheet. Not SEBI PMS TWRR.

Groww Mutual Fund · AMFI code 145599

Age: 94 months · as of 2026-10-07 · AMFI NAV · data via MFAPI · AUM Not reported

Trailing return from month-end NAV

1Y
-5.21%
3Y
8.76%
5Y
7.17%
CAGR
10.88%
Max DD
-20.72%
Calmar
0.53
Track
94 months
AMFI NAV · 2026-10-07Open tearsheet

Research sheet

Monthly tearsheet

Growth of ₹100, underwater drawdown, rolling 12-month returns, and worst episodes from month-end AMFI NAV. AUM stays Not reported.

Rolling CAGR (3Y)

14.13%

Rolling CAGR (5Y)

14.19%

Survivorship note

Rolling CAGR uses consecutive month-end AMFI NAV returns. A closed scheme stays on its last filed NAV date.

Read of the numbers

Reported metrics only · not advice

Watch

Ugly trailing 12-month prints

Worst rolling year hit -15.1%. The best rolling year was +52.2%, so trailing windows swing hard both ways. One bad trailing window is a poor reason to judge the whole path.

Watch

Often below a prior high

Roughly 61% of the track sat under a previous peak. New highs were the exception, not the week-to-week norm.

Strength

Most holding windows finished up

86% of rolling periods ended positive. Waiting out a few months usually still left you ahead on this sample.

Total Return

124.60%

Annualised Return

10.88%

Hit Rate

64.89%

Maximum Drawdown

-20.72%

Annualised Volatility

13.07%

Sharpe Ratio

0.83

Sortino Ratio

0.74

Consistency Score

64.9%

PPerformance(30)RRisk(12)CConsistency(9)
Best Year Return
P
20.12%
Worst Year Return
P
5.74%
Median Annual Return
P
13.64%
Average Monthly Return
P
0.94%
Geometric Mean Return
P
0.86%
Average Drawdown
P
-4.60%
Median Drawdown
P
-3.56%
Max Drawdown Duration
P
12 mo
Average Drawdown Duration
P
5 mo
Time to Recovery
P
10 mo
Return / Max Drawdown
P
0.53
Return / Avg Drawdown
P
2.36
Ulcer Index
P
4.77%
Positive Rolling Periods %
P
85.54%
Worst Rolling 12M Return
P
-15.11%
Best Rolling 12M Return
P
52.17%
Worst Case Investor Entry
P
-15.11%
Maximum Monthly Loss
P
-17.60%
Worst 3-Month Period
P
-20.72%
Worst 6-Month Period
P
-17.42%
Return Stability Score
P
26.51
Aggressiveness Score
P
3.77%
Return Smoothness Index
P
18.10
Capital Preservation Score
P
39.36%
Return Persistence
P
-0.06
Recovery Efficiency
P
0.53
CAGR per Unit Drawdown
R
0.53
Downside Volatility
R
14.76%
Upside Volatility
R
7.60%
Time in Drawdown %
R
60.64%
VaR 95%
R
-3.90%
CVaR 95%
R
-8.26%
VaR 99%
R
-17.60%
CVaR 99%
R
-17.60%
Semi Variance
R
0.0018
Volatility of Drawdowns
R
4.03%
Equity Curve Convexity
R
0.00
Calmar Ratio
C
0.53
Sterling Ratio
C
2.36
Coefficient of Variation
C
4.02
Return Skewness
C
-1.18
Return Kurtosis
C
8.29
Burke Ratio
C
0.37

Where these figures come from

  • Each month uses the last filed AMFI NAV. The return is the percent change from the previous calendar month. A missing month is left out. It is not stored as zero.
  • CAGR, Calmar, Sortino, trailing 1Y/3Y/5Y, and the scoreboard use that month-end path, with the same gates as a PMS strategy page. CAGR stays Not reported under 12 months.
  • Latest NAV 22.4439 as of 2026-10-07. Source: AMFI NAV · data via MFAPI.
  • AUM and expense ratio are Not reported. This source is NAV only.
  • Direct and Regular stay separate scheme codes.
  • Research only. No Invest Now.

FAQ

How has Groww Aggressive Hybrid Fund - Direct Plan - Growth performed?

CAGR 10.88% and max drawdown -20.72% (Groww Mutual Fund) from month-end AMFI NAV as of 2026-10-07. These are not SEBI PMS TWRR.

Why might a window say Not reported?

Trailing 1Y, 3Y, and 5Y need that many consecutive month-end NAV returns. A short or gappy track stays Not reported instead of an annualized guess.

Can I compare this with a PMS on one screen?

Open the PMS strategy and this scheme side by side. The compare tray here is mutual fund only, because daily NAV and SEBI monthly TWRR are different methods.