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Shree Lakshmi Plan

Shree Rama Managers Llp · Equity · declared benchmark (as filed): BSE 500 TRI
AUM
135 cr
CAGR (full)
15.3%
Sharpe (full)
0.49
Benchmark CAGR (full)
16.2% (BSE 500)
Active return /yr (full)
0.4%
IR (full)
0.03
Percentile (full, strategy)
48
Percentile (full, benchmark group)
47
Rank (Score, strategy)
#987 of 1,389
Rank (Score, benchmark group)
#894 of 1,257
Max drawdown
-27.9%
Since inception (APMI)
12.4%
Months of data
40
Fund manager
ABHISHEK BASUMALLICK
Performance fee
AMC Charge : 0.9% Profit Sharing : 9%
Exit load
1st year: 3% 2nd year: 2% 3rd year: 1%
Min. investment
₹50 lakh
Inception
02 May 2022
Turnover (1y / 1m)
1.00× / 0.18×
Objective (as filed with APMI)The plan aims to generate capital appreciation over long term.
Percentile ranks this fund within its full APMI Strategy (all Equity PMS together — the comparison basis SEBI's Dec-2022 circular prescribes); the benchmark-group percentile is an EdgePnL analytical refinement. The leaderboard Score is the weighted average of fiscal-year percentiles (each blends return-rank and Sharpe-rank).

Equity curve

2023202420252026105145186Fund (NAV=100)Benchmark (declared): BSE 500 TRICategory median (Equity)

Drawdown

2023202420252026-28-140Drawdown %

Fiscal-year record

FYReturnBenchmark
declared
Active
vs benchmark
IRvs categorySharpemonths
FY2450.5%40.2%8.1%0.5213.3%2.1812
FY25-3.7%6.0%-7.9%-0.61-8.7%-0.2812
FY26-6.5%-3.1%-2.5%-0.18-2.2%-0.5012
FY27*18.5%14.6%11.2%0.961.8%2.244
Return is the TOTAL return over the months covered — never annualized (FY27* is year-to-date; a * row covers only part of the year). The BM (BSE 500 TRI) is the fund's declared benchmark, priced by consensus chain. Active = annualized mean monthly excess return; IR = active / tracking error. Sharpe remains the primary metric.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2023+4.9+5.4+7.3+7.6+7.9-1.5-2.8+10.3+0.9+46.7
2024+3.5+5.2-5.8+5.6+1.4+9.3+4.0+1.7-2.5-1.9-0.0-0.6+20.7
2025-9.7-16.0+7.9-6.4+9.3+6.4-1.9+0.2+1.8+6.3-3.2-0.5-8.7
2026-6.8+2.0-11.7+12.5+1.5+5.6-1.7-0.7

Cumulative active return

2023202420252026-11318Cumulative 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.

AUM & estimated net flows

20232024202520261778138AUM, ₹cr
-237202420252026
Monthly net flow estimate: AUM_t − AUM_(t−1)·(1+r_t). Positive = net inflows, ₹cr.
Source: APMI monthly IA-level disclosures (mandated by SEBI's Dec-2022 benchmarking circular); returns are TWRR net of all fees and expenses per SEBI circular of Feb-13-2020, as reported by each portfolio manager. Benchmark series are the cross-reporter modal consensus of manager-reported benchmark figures. Reporting artifacts (impossible values on dormant months) are nulled, never silently dropped; dead funds remain in every month they existed. History begins Apr-2023 (the APMI disclosure floor). Sharpe uses rf 6%, arithmetic monthly convention. Coverage: this site lists the client-facing discretionary PMS universe open to the general public (~₹4.6 lakh crore). SEBI's headline portfolio-manager AUM (₹43.2L cr, Jun-2026) additionally includes ~₹30L+ cr of EPFO/provident-fund special mandates plus non-discretionary (₹3.4L cr) and advisory (₹3.1L cr) assets — none of which publish IA-level returns or are investable products; PF/institutional mandates and private-markets series are excluded from these listings. 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. EdgePnL groupings, inferred comparison benchmarks and percentiles are analytical overlays, not official categories; each fund's declared benchmark is always shown. Nothing here is investment advice; past performance does not predict future returns. Generated 2026-08-25 05:37Z · data through Jul 2026 · leaderboard
Feedback, inputs, or bug reports are appreciated — @vivekrmr on X · LinkedIn.