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Aditya Birla Sun Life Large & Mid Cap Fund - Growth - Direct Plan

Aditya Birla Sun Life Mutual Fund · Equity · mandate: ≥35% in large-caps and ≥35% in mid-caps · benchmark: NIFTY LargeMidcap 250 TRI (TRI proxy)
AUM (all plans)
5,653 cr
Active return /yr (full)
Score
31
Rank (Score, pool)
#35 of 35
Percentile (full, pool)
IR vs benchmark
-1.01
CAGR (absolute)
12.3%
Max drawdown
-31.9%
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

20222023202420252026-22-110Cumulative 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

2013201420152016201720182019202020212022202320242025202688445803Fund (NAV=100)Benchmark: NIFTY LargeMidcap 250 TRICategory median (L&M)

Drawdown

20132014201520162017201820192020202120222023202420252026-32-160Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY22-3.3%5020.0%12
FY23-10.2%-11.0%-2.0725.1%0.3%-9.9%12
FY24-9.1%-8.5%-2.09173.2%45.3%36.2%12
FY25-0.1%-3.4%0.08222.6%7.1%7.0%12
FY260.1%0.4%0.01503.3%-1.1%-0.9%12
FY27*3.8%2.1%2.09713.7%16.2%20.0%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
2022-2.3-0.3-2.7-3.3-3.3-0.5-0.5-1.3+0.1-0.5-1.6-0.6-15.7
2023-1.0+2.1-0.1-0.9+0.7-0.6-0.4+1.0-2.0-0.5-0.1-1.5-3.3
2024-1.9-0.7+0.1+0.7-0.2+0.1-0.2+0.6+0.0-0.6+0.1+0.3-1.5
2025-1.8-0.1+1.2-1.6+0.9+0.2-0.1+0.7-0.1-1.0-1.4-0.1-3.3
2026+1.3+1.2+0.1-0.3-0.3+1.4+0.3+2.1+6.0
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2013-7.2-1.4+3.7+0.5-3.1-2.2-2.3+4.9+11.2+0.0+5.6+8.6
2014-4.0+3.5+9.7+0.0+14.8+8.8-3.1+4.1+3.5+4.8+6.7+1.3+61.0
2015+6.5+0.0-0.3-3.9+5.9-1.7+4.4-4.4-0.5-0.3-0.7+1.4+5.8
2016-4.7-9.0+11.3+3.8+2.8+4.5+8.4+3.7+0.6+0.6-7.4-3.2+9.7
2017+8.5+4.3+3.2+4.3+1.5+0.3+7.1+1.7-0.9+4.3-0.4+3.4+43.7
2018-2.8-4.5-2.7+6.2-2.8-2.5+6.2+2.3-10.9-4.9+3.8+0.6-12.7
2019-3.0-0.3+7.8+0.2+2.7-0.9-8.7-0.5+5.9+5.5+2.2-0.3+9.9
2020+3.6-4.1-28.6+14.0-2.7+8.8+5.4+4.7+2.6+2.3+12.6+6.8+19.4
2021-1.5+9.2+0.8+2.2+4.3+3.6+4.4+5.5+3.5+1.4-2.6+3.5+39.5
2022-3.2-5.2+1.6-3.6-7.7-5.5+9.9+3.9-2.5+2.7+1.2-3.3-12.2
2023-4.0-0.1-0.1+3.8+5.1+4.4+3.9+2.0+0.6-3.7+7.8+6.2+28.0
2024+0.8+0.3+0.8+5.0+1.3+7.3+4.3+1.4+2.1-7.2+0.2-0.3+16.5
2025-5.7-8.6+8.5+2.0+5.1+4.0-2.8-1.4+1.2+3.5+0.1-0.5+4.3
2026-1.9+2.1-11.2+10.7+0.5+2.7+2.4+2.6+6.6

Quarterly average AUM & estimated net flows

201320142015201620172018201920202021202220232024202520262623,2416,220AUM (quarter avg), ₹cr
-1,8851,233
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.