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Kotak Large & Midcap Fund - Direct- Growth

Kotak Mahindra Mutual Fund · Equity · mandate: ≥35% in large-caps and ≥35% in mid-caps · benchmark: NIFTY LargeMidcap 250 TRI (TRI proxy)
AUM (all plans)
30,228 cr
Active return /yr (full)
Score
54
Rank (Score, pool)
#13 of 35
Percentile (full, pool)
IR vs benchmark
0.46
CAGR (absolute)
16.7%
Max drawdown
-28.2%
Months of data
163
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

202220232024202520260612Cumulative 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

2013201420152016201720182019202020212022202320242025202689457826Fund (NAV=100)Benchmark: NIFTY LargeMidcap 250 TRICategory median (L&M)

Drawdown

20132014201520162017201820192020202120222023202420252026-28-140Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY22-1.9%5021.5%12
FY234.6%3.8%1.44813.0%0.3%4.9%12
FY24-2.8%-2.1%-0.58403.7%45.3%42.5%12
FY252.7%-0.6%0.54424.7%7.1%9.8%12
FY262.5%2.9%0.69743.7%-1.1%1.5%12
FY27*-1.9%-3.6%-0.81125.3%16.2%14.2%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
2022+1.7+0.9+0.3-0.2+0.2+0.8-0.2-0.8+0.5+1.2-1.2+0.7+3.9
2023+1.1+1.8+0.4-0.8-0.3-0.8+0.8-0.4-0.5+0.0-1.4-1.2-1.2
2024-1.0+2.0+1.4+2.3+2.0-1.2-1.2-1.0+0.7+1.0+1.0-0.0+6.0
2025-2.2+0.7+0.6-1.3+0.3+0.3+1.3-0.1+0.8-1.0-0.4-0.1-1.2
2026+2.4+1.0-0.8-1.6-1.9+2.0-0.1-0.3+0.8
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2013-6.0-1.6+5.2+0.8-2.1-0.4-4.0+3.9+9.6-2.5+3.3+5.3
2014-3.9+3.8+6.2+0.2+10.7+6.6+1.2+4.9+2.7+5.4+5.3-0.4+50.8
2015+6.9+0.1-1.2-3.2+3.3+0.2+4.7-5.3-0.1-0.4-0.0+0.3+4.6
2016-6.2-7.5+11.4+2.2+3.2+3.6+6.7+3.2+0.1+2.0-5.3-1.4+11.1
2017+6.1+4.1+4.3+4.5+1.5-0.9+5.6-0.2-1.6+5.5-0.0+3.3+36.7
2018+0.2-3.9-3.0+4.6-1.8-2.0+5.8+1.6-8.0-3.1+4.4+1.7-4.5
2019-1.4-0.0+8.7+0.2+2.0-1.8-5.1-0.1+4.4+3.4+2.5+1.4+14.3
2020+4.0-5.8-23.8+13.0-1.1+8.0+5.4+2.4+1.5+1.9+11.6+4.9+17.8
2021-0.5+7.9+2.4+0.8+5.0+3.6+3.2+4.3+1.4+0.4-2.9+2.9+32.0
2022+0.8-4.0+4.6-0.5-4.1-4.2+10.2+4.3-2.1+4.4+1.6-1.9+8.3
2023-1.9-0.4+0.4+3.9+4.1+4.2+5.2+0.6+2.1-3.2+6.4+6.5+30.9
2024+1.7+3.0+2.0+6.5+3.5+6.0+3.4-0.2+2.7-5.6+1.1-0.6+25.5
2025-6.1-7.8+7.9+2.3+4.6+4.1-1.5-2.2+2.1+3.6+1.1-0.5+6.7
2026-0.8+1.9-12.1+9.4-1.0+3.2+2.0+0.2+1.5

Quarterly average AUM & estimated net flows

2013201420152016201720182019202020212022202320242025202656315,39530,228AUM (quarter avg), ₹cr
-3,0973,550
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.