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Union Largecap Fund - Direct Plan - Growth Option

Union Mutual Fund · Equity · mandate: ≥80% in large-caps (top 100 by market cap) · benchmark: NIFTY 100 TRI (TRI proxy)
AUM (all plans)
436 cr
TER direct / regular
1.68% / 2.56%
Active return /yr (full)
-0.1%
Score
34
Rank (Score, pool)
#37 of 40
Percentile (full, pool)
15
IR vs benchmark
-0.04
CAGR (absolute)
11.3%
Max drawdown
-27.1%
Months of data
111
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

2017201820192020202120222023202420252026-11-50Cumulative 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

201720182019202020212022202320242025202683188292Fund (NAV=100)Benchmark: NIFTY 100 TRICategory median (Large)

Drawdown

2017201820192020202120222023202420252026-27-140Drawdown %

Fiscal-year record

FYActive vs BMvs categoryIR%ileTEBenchmarkFund returnmonths
FY22-0.5%1.1%-0.11553.7%20.1%19.6%12
FY231.5%-1.4%0.60402.3%-1.9%-0.4%12
FY241.7%0.5%0.44382.7%34.4%36.1%12
FY25-2.6%-5.0%-0.64144.2%5.8%3.2%12
FY26-0.6%-1.8%-0.32232.3%-4.1%-4.7%12
FY27*0.6%-0.4%0.49402.5%11.6%12.2%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
2017-1.4-2.3+0.6+1.3-2.1-0.2-0.4-4.5
2018-2.0+1.7+0.3-0.1-1.7-1.6-0.9-0.9+0.4-0.2-0.0-1.0-6.1
2019+1.1-0.4-0.6+0.8+0.0+0.6+0.0+0.3+0.0-0.1-0.4+0.2+1.6
2020+0.1+1.1+0.3+0.2-0.3-0.6-0.2+0.1-0.5+0.4-0.7+0.2+0.2
2021+0.3-0.2-0.6-0.4-0.0+1.0+0.9-0.3+0.3+2.2-0.2-0.1+2.8
2022-1.7-0.6-1.4-0.4+0.4+0.1-0.4-0.4-0.2+0.6-0.5+0.1-4.2
2023+1.0+1.5-0.5-0.8+0.4+0.2+0.5+1.2+0.0-0.1+0.1-1.7+1.7
2024+0.9+0.6-0.1+0.1-0.5-0.6-2.4+0.3-0.7+1.0+0.2+1.7+0.4
2025-2.3+0.5+0.1-0.9-0.1+0.2+0.1+0.2-0.2-0.3-0.5-1.2-4.4
2026+0.5+1.3+0.1-0.3+0.5+0.3-1.0+0.9+2.5
Fund monthly return minus benchmark; the year column compounds each separately and differences them.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2017-1.9+3.7-0.7-0.1+3.7-1.0+2.7+6.4
2018+1.7-2.9-3.1+6.1-2.4-2.2+5.0+2.3-6.9-4.9+4.5-0.9-4.5
2019+0.0-0.7+7.0+1.5+1.4-0.4-5.4-0.2+4.1+3.6+0.8+0.9+12.6
2020-1.4-5.2-22.1+14.5-2.8+6.8+6.9+2.6-1.5+3.7+10.6+7.9+15.7
2021-2.2+6.6+0.4-0.5+6.9+2.1+1.5+8.0+3.0+2.6-3.6+1.9+29.3
2022-2.1-3.5+2.4-1.6-3.2-4.8+8.9+3.8-3.9+5.3+3.2-3.4+0.2
2023-2.6-1.4+0.1+3.4+3.6+3.9+3.6-1.0+1.9-2.8+6.3+6.7+23.3
2024+1.5+2.9+1.6+2.3+0.1+5.8+1.7+1.4+1.7-5.7+0.2-0.5+13.3
2025-4.0-6.0+7.1+2.4+2.1+3.6-2.6-1.2+0.9+4.0+0.9-1.4+5.2
2026-2.4+1.4-11.5+8.5-0.5+1.8+1.5+0.5-1.8

Quarterly average AUM & estimated net flows

2017201820192020202120222023202420252026160317474AUM (quarter avg), ₹cr
-59155
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.