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Sundaram Large and Midcap Fund Direct Plan - Growth

Sundaram Mutual Fund · Equity · mandate: ≥35% in large-caps and ≥35% in mid-caps · benchmark: NIFTY LargeMidcap 250 TRI (TRI proxy)
AUM (all plans)
6,431 cr
TER direct / regular
1.50% / 2.52%
Active return /yr (full)
Score
41
Rank (Score, pool)
#26 of 35
Percentile (full, pool)
IR vs benchmark
0.06
CAGR (absolute)
16.7%
Max drawdown
-31.2%
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

20222023202420252026-9-41Cumulative 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

2013201420152016201720182019202020212022202320242025202684426769Fund (NAV=100)Benchmark: NIFTY LargeMidcap 250 TRICategory median (L&M)

Drawdown

20132014201520162017201820192020202120222023202420252026-31-160Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY222.5%5025.8%12
FY23-2.6%-3.4%-1.06192.5%0.3%-2.3%12
FY24-5.2%-4.5%-1.11313.4%45.3%40.1%12
FY252.0%-1.3%0.51384.0%7.1%9.1%12
FY26-0.7%-0.3%-0.21453.3%-1.1%-1.7%12
FY27*8.9%7.2%2.45887.3%16.2%25.1%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
2022-0.9+0.7-1.1-1.9-0.5+0.2-0.0+0.0+0.2-0.2-1.0+0.2-4.1
2023+0.3+0.8-0.8-0.4+0.4-1.1-0.2-1.2-0.3-0.1+0.6-0.9-3.0
2024-2.4+1.0+0.9-0.0+0.4-0.0-1.0+0.9+0.3+1.7+0.7+0.8+3.2
2025-2.4-0.7+1.5-0.6-2.0-0.1+1.5+0.7+0.2-0.2-0.6-0.2-3.0
2026-0.0+1.3-0.7-1.7+1.1+3.4+1.3+3.3+8.1
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2013-8.8-1.1+1.6-0.2-2.8-1.9-4.1+3.8+8.9+1.0+5.8+0.9
2014-5.0+2.7+6.7+1.5+13.1+9.5-1.2+3.0+2.2+4.0+5.0+1.0+50.2
2015+4.2+0.4-1.0-2.1+2.0+0.8+3.7-4.9-0.4+0.7+1.5-0.6+3.9
2016-4.1-7.3+7.4+0.8+3.3+2.8+5.2+2.8-0.8+4.1-5.7+0.3+7.9
2017+4.2+5.1+4.9+2.8+0.8+0.2+4.3-1.4+0.3+6.1+1.3+3.8+37.4
2018+1.4-2.9-2.5+7.0-1.2-2.1+4.5+5.4-10.4-2.0+4.6+1.3+1.7
2019-2.3-1.2+7.3+0.2+2.4-0.5-6.6+0.3+7.4+4.7+0.3-0.3+11.4
2020+1.7-3.2-28.9+11.7-1.3+7.4+6.3+4.8-0.2+0.8+10.9+6.0+9.1
2021-0.5+10.8+0.7-1.2+5.7+4.1+5.6+6.9+2.1+1.5-1.4+3.4+43.8
2022-1.8-4.1+3.2-2.1-4.9-4.8+10.4+5.2-2.4+3.0+1.8-2.4-0.2
2023-2.7-1.4-0.9+4.3+4.8+3.9+4.1-0.3+2.3-3.4+8.5+6.8+28.3
2024+0.3+2.0+1.5+4.2+1.8+7.2+3.6+1.7+2.3-4.9+0.8+0.3+22.4
2025-6.4-9.2+8.8+3.0+2.2+3.7-1.3-1.4+1.5+4.4+1.0-0.5+4.6
2026-3.2+2.2-12.1+9.3+1.9+4.6+3.4+3.8+8.7

Quarterly average AUM & estimated net flows

20132014201520162017201820192020202120222023202420252026723,4116,750AUM (quarter avg), ₹cr
-1,1132,995
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.