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IDBI India Top 100 Equity Fund Growth Direct (defunct)

IDBI Mutual Fund · Equity · mandate: ≥80% in large-caps (top 100 by market cap) · benchmark: NIFTY 100 TRI (TRI proxy)
AUM (all plans)
Active return /yr (full)
2.7%
Score
58
Rank (Score, pool)
#8 of 40
Percentile (full, pool)
50
IR vs benchmark
0.85
CAGR (absolute)
16.6%
Max drawdown
-24.0%
Months of data
126
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

2013201420152016201720182019202020212022202301121Cumulative 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

2013201420152016201720182019202020212022202390254417Fund (NAV=100)Benchmark: NIFTY 100 TRICategory median (Large)

Drawdown

20132014201520162017201820192020202120222023-24-120Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY225.2%6.8%1.30953.4%20.1%25.3%12
FY231.9%-0.9%0.81472.4%-1.9%0.0%12
FY24*-0.9%-0.8%-1.06502.2%15.0%14.1%4
FY250
FY260
FY27*0
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
2013+3.3-1.0+1.5-0.6-0.3+1.4-1.5+0.6+0.3+3.8
2014+0.1+1.2-2.0+0.0-0.4+0.2+0.4+2.2+1.2-0.8+1.9+1.0+5.1
2015+1.7+1.5+2.8-0.7+0.9-0.8+1.6+0.8-0.1-1.7+0.1-0.1+6.1
2016-0.1+1.7-1.2-0.1-1.2+1.0+0.5+0.5+0.5-1.0-1.5-0.7-1.7
2017+1.3-0.8+0.6+2.2+0.5-0.8-0.4+1.0-1.0-2.9+0.1-0.6-1.0
2018-1.5-0.6+1.2-1.5-0.1-1.6-0.3-1.6-3.1+1.6+1.4+0.7-5.5
2019-1.0+0.1-0.7-1.1+1.7+0.6+1.3+1.1+1.8-0.3-0.8+0.3+3.1
2020+1.5+2.0+1.8-1.6-0.2-1.0-1.0-0.5+1.7-0.0-1.4-0.2+1.0
2021+0.2+0.3+0.2+0.4+0.9+1.3+1.9-1.3+0.8+0.6-1.0+1.3+5.7
2022+0.2-0.5-0.2-0.8+0.4-0.4+0.9-0.2+0.4+0.5-0.6+0.1-0.4
2023+1.0+1.4-0.6+0.0+0.1+0.3-1.1+1.0
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2013-5.7-0.4+7.9+0.5-1.2-2.3-5.1+6.6+8.0-0.9+2.6+9.1
2014-3.9+4.1+5.3+0.1+8.5+5.9+1.8+5.4+1.6+3.7+5.3-1.9+41.5
2015+7.7+1.9-0.7-4.1+4.0-1.2+4.3-5.2-0.7-0.3-1.4+0.3+3.8
2016-5.4-5.6+9.3+1.5+2.4+3.2+5.5+2.4-1.2-0.3-6.4-1.8+2.4
2017+6.5+3.1+4.0+4.1+3.1-1.3+5.6-0.2-2.4+3.0-0.8+2.4+30.3
2018+2.1-5.2-2.3+4.7-0.8-2.1+5.7+1.6-10.4-3.1+5.9+0.8-4.1
2019-2.0-0.2+6.9-0.5+3.1-0.5-4.1+0.7+5.8+3.4+0.4+0.9+14.3
2020+0.0-4.3-20.6+12.6-2.7+6.4+6.1+2.0+0.6+3.2+9.9+7.4+17.7
2021-2.2+7.1+1.1+0.3+7.8+2.5+2.5+7.0+3.6+0.9-4.3+3.3+32.9
2022-0.2-3.4+3.6-2.0-3.2-5.3+10.2+4.0-3.3+5.2+3.1-3.4+4.1
2023-2.6-1.5+0.0+4.2+3.3+4.0+2.0+9.4

Quarterly average AUM & estimated net flows

2013201420152016201720182019202020212022202349339629AUM (quarter avg), ₹cr
-9671
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.