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Franklin India Large & Mid Cap Fund - Direct - Growth

Franklin Templeton Mutual Fund · Equity · mandate: ≥35% in large-caps and ≥35% in mid-caps · benchmark: NIFTY LargeMidcap 250 TRI (TRI proxy)
AUM (all plans)
3,395 cr
Active return /yr (full)
Score
36
Rank (Score, pool)
#33 of 35
Percentile (full, pool)
IR vs benchmark
-0.42
CAGR (absolute)
14.4%
Max drawdown
-36.8%
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

20222023202420252026-12-60Cumulative 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

2013201420152016201720182019202020212022202320242025202686440793Fund (NAV=100)Benchmark: NIFTY LargeMidcap 250 TRICategory median (L&M)

Drawdown

20132014201520162017201820192020202120222023202420252026-37-180Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY22-1.2%5022.2%12
FY23-2.2%-3.1%-0.61264.2%0.3%-1.9%12
FY24-9.2%-8.5%-2.44132.8%45.3%36.2%12
FY253.6%0.3%0.72484.7%7.1%10.7%12
FY26-0.9%-0.6%-0.21415.2%-1.1%-2.0%12
FY27*1.0%-0.7%0.29365.8%16.2%17.2%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+0.1-0.9-1.3+0.1+1.7-0.3-1.1-2.3-0.2-2.2+0.5-0.5-6.2
2023+1.2+0.6-0.1-1.0-1.0+0.1-0.3-0.7-1.4+0.9-1.5-0.2-3.4
2024-1.8+0.3-0.3-1.2-1.1+2.9-0.1+0.8+1.8-0.5+1.1-0.6+1.3
2025+0.6+1.2-1.6+0.0-0.5+2.1+0.1+1.5-2.1+0.1-0.9-0.4+0.1
2026-1.1-2.3+2.4-2.5-0.6+0.6+1.7+1.4-0.5
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2013-6.0-1.7+1.7+0.2-2.9-1.6-4.4+5.9+11.0+1.0+3.5+5.6
2014-2.9+3.0+8.4+0.9+12.1+6.5+1.3+4.4+2.1+6.1+4.3+0.7+57.0
2015+6.1-0.2-0.3-2.6+4.0-1.3+3.8-4.8-0.2+1.4-0.6-2.1+2.7
2016-3.9-6.4+10.1+2.6+2.2+2.1+3.2+3.0-1.4+0.6-4.5-1.9+4.8
2017+5.0+4.5+1.9+2.8+1.6+0.3+4.2-0.7-1.0+5.4+0.9+3.7+32.2
2018+0.4-3.9-2.8+5.5-0.2-3.0+2.7+5.1-9.1-3.4+3.8+1.8-4.3
2019-2.3-1.5+8.3-1.6+1.4-0.8-6.8-1.2+4.4+2.4+0.5+0.7+2.9
2020+1.7-7.6-29.6+13.6-2.0+9.0+5.0+7.9-2.0+2.7+16.0+6.4+13.1
2021+1.5+9.5-0.8+1.1+7.5+5.4+1.2+3.9+3.4+3.2-2.4+1.2+40.1
2022-0.8-5.8+3.0-0.2-2.6-5.3+9.3+2.8-2.8+1.0+3.3-3.1-2.1
2023-1.8-1.6-0.1+3.7+3.4+5.1+4.0+0.3+1.2-2.3+6.3+7.5+28.0
2024+0.9+1.3+0.3+3.1+0.4+10.2+4.5+1.6+3.8-7.1+1.2-1.2+19.7
2025-3.3-7.3+5.7+3.6+3.8+5.8-2.7-0.5-0.8+4.7+0.6-0.7+8.4
2026-4.3-1.4-9.0+8.6+0.3+1.9+3.8+1.8+0.6

Quarterly average AUM & estimated net flows

201320142015201620172018201920202021202220232024202520261,4402,5533,666AUM (quarter avg), ₹cr
-1,088702
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.