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CANARA ROBECO LARGE AND MID CAP FUND - DIRECT PLAN - GROWTH OPTION

Canara Robeco Mutual Fund · Equity · mandate: ≥35% in large-caps and ≥35% in mid-caps · benchmark: NIFTY LargeMidcap 250 TRI (TRI proxy)
AUM (all plans)
24,599 cr
TER direct / regular
0.74% / 1.77%
Active return /yr (full)
Score
38
Rank (Score, pool)
#31 of 35
Percentile (full, pool)
IR vs benchmark
-0.30
CAGR (absolute)
15.2%
Max drawdown
-25.7%
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

20222023202420252026-11-60Cumulative 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

20132014201520162017201820192020202120222023202420252026826331,185Fund (NAV=100)Benchmark: NIFTY LargeMidcap 250 TRICategory median (L&M)

Drawdown

20132014201520162017201820192020202120222023202420252026-26-130Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY220.6%5024.0%12
FY23-1.1%-2.0%-0.42353.2%0.3%-0.8%12
FY24-7.4%-6.7%-1.21254.5%45.3%37.9%12
FY254.5%1.2%0.98604.5%7.1%11.6%12
FY26-4.2%-3.8%-1.1294.0%-1.1%-5.2%12
FY27*3.7%2.1%1.65624.8%16.2%19.9%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
2022-0.7+0.3-1.8-0.9+1.0+0.7-0.8-1.0+0.6+0.2-1.8-0.5-4.6
2023-0.1+1.4-0.2-1.2+0.2-0.9-0.6-0.8-1.9+0.4-0.5-1.4-5.4
2024-2.5+1.6+1.9-0.4+0.4+2.3-0.8+1.0+0.1+1.0+1.7+1.4+7.8
2025-2.6-0.1+0.5-0.2+0.1+0.2+0.3+1.7-1.6-1.6-1.9-1.7-6.8
2026-0.6-0.4+1.2+0.1-1.4+2.1+1.5+1.0+3.5
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2013-7.0-1.8+1.8-0.1-5.6-3.2-3.7+5.8+9.1+4.1+8.4+6.6
2014-5.0+3.9+12.3+1.6+20.7+13.1+0.7+5.5+6.3+3.1+7.8+2.4+97.6
2015+4.7+0.3+0.2-3.1+3.9+0.3+8.7-7.2+1.6+1.4+3.0+0.2+13.9
2016-8.0-12.6+12.1+4.2+2.3+5.4+5.8+4.4+1.0+2.8-8.2-2.6+3.7
2017+8.6+5.6+6.2+7.1-0.3+0.7+4.3-0.2-0.2+5.7+2.4+4.4+54.1
2018-1.9-2.0-4.0+7.7-3.3-2.7+5.8+3.5-11.3-2.9+3.3+0.9-8.2
2019-1.3+0.3+7.4-0.2+1.9-1.3-7.5-1.3+5.5+4.3+1.2+1.2+9.9
2020+4.6-1.7-24.4+12.5-2.5+6.9+6.9+5.7+1.0+1.8+12.4+5.9+26.0
2021-1.7+8.6+0.7+0.9+5.8+5.1+3.9+5.5+2.7+1.1-2.3+3.4+38.7
2022-1.6-4.6+2.4-1.2-3.4-4.4+9.6+4.2-2.0+3.4+1.0-3.1-0.5
2023-3.1-0.8-0.3+3.5+4.7+4.1+3.8+0.1+0.7-2.8+7.4+6.3+25.4
2024+0.2+2.6+2.5+3.8+1.8+9.5+3.8+1.8+2.2-5.6+1.8+0.8+27.6
2025-6.5-8.6+7.8+3.4+4.4+3.9-2.4-0.4-0.4+2.9-0.3-2.1+0.6
2026-3.8+0.5-10.2+11.1-0.6+3.4+3.6+1.4+4.1

Quarterly average AUM & estimated net flows

201320142015201620172018201920202021202220232024202520263613,01625,996AUM (quarter avg), ₹cr
-3,3392,144
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.