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Groww Value Fund (formerly known as Indiabulls Value Fund) - Direct Plan - Growth Option

Groww Mutual Fund · Equity · mandate: value investment strategy, ≥65% in equities · benchmark: NIFTY 500 TRI (TRI proxy)
AUM (all plans)
67 cr
Active return /yr (full)
1.5%
Score
46
Rank (Score, pool)
#191 of 245
Percentile (full, pool)
47
IR vs benchmark
0.34
CAGR (absolute)
14.9%
Max drawdown
-36.8%
Months of data
131
Percentile ranks this fund within its peer pool; the leaderboard Score is the weighted average of its fiscal-year percentiles (equity: active-return-rank blended with IR-rank).

Cumulative active return

20192020202120222023202420252026-415Cumulative active return vs benchmark, %
Growth of the fund relative to its benchmark: +10 means ₹100 in the fund is worth 10% more than ₹100 in the benchmark since the start of the line.

Equity curve

20152016201720182019202020212022202320242025202684244404Fund (NAV=100)Benchmark: NIFTY 500 TRICategory median (Flexi)

Drawdown

201520162017201820192020202120222023202420252026-37-180Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY22-0.6%0.2%-0.12345.1%21.6%21.0%12
FY231.3%-1.7%0.37383.4%-1.6%-0.4%12
FY246.3%4.9%1.20743.8%40.1%46.3%12
FY25-1.2%-3.7%-0.38164.0%5.9%4.8%12
FY261.1%0.4%0.44582.5%-3.1%-2.0%12
FY27*2.1%0.3%2.91691.6%15.1%17.2%5
Active/Fund returns are TOTALS over the months covered — never annualized (FY27* is year-to-date; a * row covers only part of the year). %ile is the fund's percentile within its peer pool for that year.

Monthly active returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2019-0.5-0.1+0.1-0.6
2020+1.7+0.1+1.9-1.5-0.5-1.9-1.9+3.1-1.9+0.0+2.2-2.5-1.2
2021-1.3-0.0+0.1+0.6-2.2+2.0+1.1-1.3-1.1+2.0+0.0-1.2-1.5
2022+1.6-0.5-1.6-0.4+1.8+0.1-0.5-1.3-0.9+1.9+0.2-0.0+0.3
2023+0.3+0.5-0.4-0.8-0.7-0.2+1.0-0.1+2.3+0.9+0.4+1.9+5.1
2024+1.3-1.2-0.1-1.0+0.0-1.5-0.7-0.4-0.2+2.1+0.4-1.3-2.7
2025-0.3+2.0-0.6+0.8+0.6+0.4+0.6-0.1+0.6-0.7-1.7+0.3+1.8
2026+0.4-0.5+0.4+0.4+0.4+1.1+0.1-0.1+2.2
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2015-1.3+1.4+0.0+0.1
2016-6.4-10.3+9.1+3.5+1.5+2.7+8.0+1.1+2.6+3.4-5.7-2.2+5.8
2017+7.0+6.5+5.7+5.3-1.6-0.4+1.6-1.7+0.1+4.4+1.5+4.9+38.2
2018-0.8-3.1-5.3+5.5-4.2-5.3+2.4+1.3-7.4-0.1-0.2+0.8-16.0
2019-5.1+0.1+5.4-0.8+2.3-1.7-8.4+0.3+4.3+3.3+1.2+0.7+0.7
2020+1.5-6.1-21.7+12.5-2.7+6.4+4.8+6.7-2.2+2.7+14.0+4.9+16.8
2021-3.2+7.8+1.1+1.0+4.8+4.0+2.6+5.2+2.3+2.3-2.8+1.2+29.0
2022+1.0-4.5+2.5-1.2-2.5-4.9+9.2+3.3-4.2+6.0+3.5-3.2+4.2
2023-3.0-2.3-0.1+3.7+3.0+4.2+4.9-0.7+4.5-1.9+7.5+9.9+32.8
2024+3.2+0.4+0.7+2.5+0.7+5.4+3.7+0.6+1.9-4.3+0.4-2.7+12.9
2025-3.8-5.8+6.7+4.0+4.3+4.1-2.2-1.9+1.8+3.6-0.7+0.0+9.7
2026-2.9-0.0-11.0+10.9+0.4+2.8+2.2+0.2+1.3

Quarterly average AUM & estimated net flows

20152016201720182019202020212022202320242025202673767AUM (quarter avg), ₹cr
-715
Quarterly net flow estimate: AUM_q − AUM_(q−1)·(1+quarter return). AUM shown is the quarter AVERAGE (AMFI central disclosure). Positive = net inflows, ₹cr.
Source: AMFI's official all-scheme NAV history (portal report; official NAV history, net of TER by construction). Monthly returns are month-end NAV chains; stale prints (>7 days before month-end) drop out rather than carry. Benchmark series are the median of plain-vanilla direct-plan index funds tracking each index (TRI minus ~10-25bp/yr tracking drag — verified against true-TRI chains). Direct plans, growth option only. Sharpe uses rf 6%, arithmetic monthly convention. Independence: all figures are computed from mandatory public disclosures with a fixed methodology applied identically to every fund — no fund can pay for inclusion, exclusion, placement, or altered presentation, and any material commercial relationship will be disclosed on the affected pages. Nothing here is investment advice; past performance does not predict future returns. Generated 2026-08-25 05:37Z · data through Aug 2026 · leaderboard · PMS leaderboard
Feedback, inputs, or bug reports are appreciated — @vivekrmr on X · LinkedIn.