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quant Large & Mid Cap Fund - Growth Option-Direct Plan

quant Mutual Fund · Equity · mandate: ≥35% in large-caps and ≥35% in mid-caps · benchmark: NIFTY LargeMidcap 250 TRI (TRI proxy)
AUM (all plans)
3,278 cr
Active return /yr (full)
Score
45
Rank (Score, pool)
#21 of 35
Percentile (full, pool)
IR vs benchmark
0.45
CAGR (absolute)
19.6%
Max drawdown
-23.1%
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

20222023202420252026-01326Cumulative 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

20132014201520162017201820192020202120222023202420252026825421,003Fund (NAV=100)Benchmark: NIFTY LargeMidcap 250 TRICategory median (L&M)

Drawdown

20132014201520162017201820192020202120222023202420252026-23-120Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY2214.2%5037.6%12
FY230.5%-0.4%0.13613.9%0.3%0.8%12
FY2418.2%18.9%1.74947.2%45.3%63.5%12
FY25-8.1%-11.4%-1.2526.0%7.1%-1.0%12
FY26-6.7%-6.4%-1.1256.3%-1.1%-7.8%12
FY27*10.9%9.2%1.898212.6%16.2%27.1%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+1.5-0.6+6.7-0.0-1.0-0.2-1.1-0.5+1.9+1.4+1.2+1.2+10.8
2023-0.6-1.7-0.1+1.1-4.0+0.5+2.5-1.3+1.1+0.5+3.0+1.4+2.1
2024+3.8+2.5+1.5+2.3+1.3-2.8-0.8-2.0-1.0-0.2-2.7-0.7+0.8
2025+1.0-2.7+0.9-0.8-1.3-0.3-0.9-2.0+0.0-0.1-1.0-0.8-7.8
2026-4.4+1.5+3.1+6.6+5.2-0.7-0.7-0.5+10.1
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2013-8.8-4.9+4.2-0.1-3.9-3.4-1.9+3.2+7.6+0.6+4.0-4.7
2014-2.2+2.9+7.8+1.8+11.1+12.9-1.5+7.2+1.1+3.3+6.8+1.4+65.6
2015+7.7+1.3+1.6-0.2+2.5-0.8+5.8-7.1+0.2+3.7+2.5+1.2+19.2
2016-5.4-8.0+10.2+5.4+5.3+5.0+1.3+2.4+1.5+4.0-5.3-2.2+13.3
2017+5.4+6.0+3.3+4.4-0.1+0.1+2.5-1.1+1.2+3.9+0.8+2.8+33.0
2018-1.5-3.0-2.2+2.3-2.2-2.1+2.4+3.1-4.8-3.7+4.1-0.1-7.9
2019-3.7-2.5+8.6-2.1+2.4-0.6-6.6+1.6+4.3+6.1-0.7-2.2+3.6
2020+2.8-6.5-16.2+16.2+2.8+5.3+5.1-1.3+0.7-1.9+11.6+11.2+29.0
2021-1.9+3.3+5.5+4.7+8.4+0.2+3.3+2.3+4.0+0.9+2.4+1.0+39.3
2022+0.6-5.4+11.0-0.3-5.3-5.2+9.3+4.7-0.7+4.6+4.0-1.4+15.0
2023-3.6-3.9-0.1+5.7+0.4+5.4+6.8-0.4+3.6-2.7+10.9+9.1+34.3
2024+6.5+3.5+2.1+6.5+2.7+4.4+3.7-1.3+1.0-6.8-2.6-1.3+19.4
2025-2.9-11.2+8.3+2.8+3.0+3.4-3.7-4.1+1.3+4.4+0.5-1.2-0.7
2026-7.6+2.4-8.2+17.6+6.0+0.6+1.4-0.1+10.3

Quarterly average AUM & estimated net flows

2013201420152016201720182019202020212022202320242025202621,8453,688AUM (quarter avg), ₹cr
-558728
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.